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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article"><?properties manuscript?><front><journal-meta><journal-id journal-id-type="nlm-journal-id">0375410</journal-id><journal-id journal-id-type="pubmed-jr-id">5127</journal-id><journal-id journal-id-type="nlm-ta">J Pediatr</journal-id><journal-id journal-id-type="iso-abbrev">J. Pediatr.</journal-id><journal-title-group><journal-title>The Journal of pediatrics</journal-title></journal-title-group><issn pub-type="ppub">0022-3476</issn><issn pub-type="epub">1097-6833</issn></journal-meta><article-meta><article-id pub-id-type="pmid">23773596</article-id><article-id pub-id-type="pmc">5748935</article-id><article-id pub-id-type="doi">10.1016/j.jpeds.2013.03.032</article-id><article-id pub-id-type="manuscript">HHSPA926963</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Impact and Cost-Effectiveness of <italic>Haemophilus influenzae</italic> Type b Conjugate Vaccination in India</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Clark</surname><given-names>Andrew D.</given-names></name><degrees>MA</degrees><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Griffiths</surname><given-names>Ulla K.</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Abbas</surname><given-names>Syed Shahid</given-names></name><degrees>MBBS, MPH</degrees><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Rao</surname><given-names>Krishna D.</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Privor-Dumm</surname><given-names>Lois</given-names></name><degrees>MIBS</degrees><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>Hajjeh</surname><given-names>Rana</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="A4">4</xref></contrib><contrib contrib-type="author"><name><surname>Johnson</surname><given-names>Hope</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>Sanderson</surname><given-names>Colin</given-names></name><degrees>MA, MSc, PhD</degrees><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Santosham</surname><given-names>Mathuram</given-names></name><degrees>MD, MPH</degrees><xref ref-type="aff" rid="A3">3</xref></contrib></contrib-group><aff id="A1">
<label>1</label>Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom</aff><aff id="A2">
<label>2</label>Public Health Foundation of India, New Delhi, India</aff><aff id="A3">
<label>3</label>Johns Hopkins Bloomberg School of Public Health, Baltimore, MD</aff><aff id="A4">
<label>4</label>Division of Bacterial Diseases, National Center of Immunization and Respiratory Diseases, Centers for Disease Control, Atlanta, GA</aff><author-notes><corresp id="FN1">Reprint requests: Andrew D. Clark, MA, Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London WC1H 9SH, UK. <email>andrew.clark@lshtm.ac.uk</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>13</day><month>12</month><year>2017</year></pub-date><pub-date pub-type="ppub"><month>7</month><year>2013</year></pub-date><pub-date pub-type="pmc-release"><day>02</day><month>1</month><year>2018</year></pub-date><volume>163</volume><issue>1 Suppl</issue><fpage>S60</fpage><lpage>S72</lpage><!--elocation-id from pubmed: 10.1016/j.jpeds.2013.03.032--><abstract><sec id="S1"><title>Objective</title><p id="P1">To estimate the potential health impact and cost-effectiveness of nationwide <italic>Haemophilus influenzae</italic> type b (Hib) vaccination in India.</p></sec><sec id="S2"><title>Study design</title><p id="P2">A decision support model was used, bringing together estimates of demography, epidemiology, Hib vaccine effectiveness, Hib vaccine costs, and health care costs. Scenarios favorable and unfavorable to the vaccine were evaluated. State-level analyses indicate where the vaccine might have the greatest impact and value.</p></sec><sec id="S3"><title>Results</title><p id="P3">Between 2012 and 2031, Hib conjugate vaccination is estimated to prevent over 200 000 child deaths (~1% of deaths in children &#x0003c;5 years of age) in India at an incremental cost of US$127 million per year. From a government perspective, state-level cost-effectiveness ranged from US$192 to US$1033 per discounted disability adjusted life years averted. With the inclusion of household health care costs, cost-effectiveness ranged from US$155-US$939 per discounted disability adjusted life year averted. These values are below the World Health Organization thresholds for cost effectiveness of public health interventions.</p></sec><sec id="S4"><title>Conclusions</title><p id="P4">Hib conjugate vaccination is a cost-effective intervention in all States of India. This conclusion does not alter with plausible changes in key parameters. Although investment in Hib conjugate vaccination would significantly increase the cost of the Universal Immunization Program, about 15% of the incremental cost would be offset by health care cost savings. Efforts should be made to expedite the nationwide introduction of Hib conjugate vaccination in India.</p></sec></abstract></article-meta></front><body><p id="P5">During the last decade 1 in every 10 children born in India died before reaching their fifth birthday, representing around 20% of child deaths globally.<sup><xref rid="R1" ref-type="bibr">1</xref></sup> A nationally representative mortality survey conducted in India between 2001 and 2003 (the &#x0201c;Million Death Study&#x0201d;) estimated that 16% of deaths of children &#x0003c;5 years of age were caused by pneumonia and ~4% by invasive bacterial diseases such as meningitis.<sup><xref rid="R2" ref-type="bibr">2</xref></sup>
<italic>Haemophilus influenzae</italic> type b (Hib), a bacterium transmitted from person to person by the respiratory route, is a leading cause of bacterial pneumonia in countries where the vaccine is not used. Safe and effective national Hib conjugate vaccination programs are now implemented in most countries worldwide, but introduction has been delayed considerably in India compared with other countries. In June 2008, the Indian National Technical Advisory Group on Immunization recommended nationwide introduction of Hib conjugate vaccination.<sup><xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R4" ref-type="bibr">4</xref></sup> It subsequently took 3.5 years to initiate phased introduction, starting in December 2011 with Tamil Nadu and Kerala, 2 states covering less than 5% of the national child mortality burden. To date, the vaccine is yet to be introduced in any of the high mortality states.</p><p id="P6">Several challenges have contributed to the delayed introduction. In particular, there has been a lack of technical consensus on the public health need and cost-effectiveness of including the vaccine in the national immunization program. In July 2005, a pilot Hib disease surveillance study was initiated to lay the groundwork for a large vaccine probe study to document the burden of Hib disease in India and the impact of vaccination.<sup><xref rid="R5" ref-type="bibr">5</xref></sup> The probe study was, however, never conducted, as it was judged unethical following a World Health Organization (WHO) position that &#x0201c;conjugate Hib conjugate vaccines should be included in all routine infant immunization programs.&#x0201d;<sup><xref rid="R6" ref-type="bibr">6</xref></sup> Also, at this time, Hib conjugate vaccines became widely available in the private sector in India and several Indian manufacturers were producing the vaccine. The only randomized controlled trial in Asia (Lombok Island, Indonesia; 1998&#x02013;2002) reported a preventable incidence of both clinical pneumonia (1561 per 100 000 aged &#x0003c;2 years) and meningitis (16 per 100 000 aged &#x0003c;2 years). Confusingly, however, the same study reported no preventable burden of radiologic pneumonia.<sup><xref rid="R7" ref-type="bibr">7</xref></sup> A case control study (Dhaka city, Bangladesh; 2000&#x02013;2003) reported a 32% protective effect against radiologic pneumonia. However, results from this study varied considerably depending on who read the chest radiographs and whether the controls were hospital- or community-based (16%&#x02013;44%).<sup><xref rid="R8" ref-type="bibr">8</xref></sup> The mixed evidence from the region and the lack of strong evidence from India have made it difficult for country officials to make a decision about Hib conjugate vaccination, and some local groups have argued against its inclusion in the routine program.<sup><xref rid="R9" ref-type="bibr">9</xref></sup> Where uncertainties exist and are likely to continue to exist, decision support models can help decision makers consider the potential impact and cost-effectiveness of the vaccine under a range of plausible favorable, and more importantly, unfavorable, assumptions.</p><p id="P7">In this analysis, a decision support model was used to bring together the best available evidence and calculate, for a broad range of scenarios, the impact and value (cost-effectiveness) of Hib conjugate vaccination in India. We estimated this for individual states and aggregated to the national level over the period 2012&#x02013;2031. With an annual birth cohort of ~26 million, the Ministry of Health and Family Welfare has to consider very carefully the economic implications of universal Hib conjugate vaccination. The aim of cost-effectiveness analysis is to help decision-makers make investments in health interventions, which provide good value for money when compared with recognized benchmarks or competing health priorities. This study estimate, the potential cost-effectiveness of nationwide Hib conjugate vaccination in India.</p><sec sec-type="methods" id="S5"><title>Methods</title><p id="P8">The decision-support model has been described in detail elsewhere.<sup><xref rid="R10" ref-type="bibr">10</xref></sup> In short, the model tracks the experience of 20 successive birth cohorts. Cost-effectiveness is based on the aggregated costs and benefits over this sustained period of routine vaccination (2012&#x02013;2031) allowing key parameters to vary over time. Vaccination program costs are assumed to occur in the first year of each cohort. Disease cases, deaths, and treatment costs are estimated for the first 5 years of age, but lost life-years, disability adjusted life years (DALYs), and sequelae costs are estimated over expected lifetimes. State-level estimates of numbers of births, infant mortality, mortality of children &#x0003c;5 years of age, and life-expectancy were based on the 2001 census projections.<sup><xref rid="R11" ref-type="bibr">11</xref></sup> State-level estimates of numbers of births were scaled to be consistent with the national United National Population projections (2008 Revision) for India.<sup><xref rid="R1" ref-type="bibr">1</xref></sup> Estimates of neonatal mortality for each state were based on the 2005&#x02013;2006 Indian National Family Health Survey (NFHS).<sup><xref rid="R12" ref-type="bibr">12</xref></sup> Hib disease is divided into 3 categories defined by the Hib global burden of disease project<sup><xref rid="R13" ref-type="bibr">13</xref></sup>: pneumonia, meningitis, and &#x0201c;non-pneumonia-non-meningitis&#x0201d; (NPNM) invasive diseases. NPNM diseases, such as cellulitis and epiglottitis, were grouped for simplicity because they are less common than meningitis and pneumonia. The model structure is shown in <xref rid="F1" ref-type="fig">Figure 1</xref>. Outputs are compared with a scenario with no Hib conjugate vaccination. The analysis was undertaken from a societal perspective, including costs incurred by the Indian Government, the GAVI Alliance, and Indian households. Future program costs, treatment costs averted, and health benefits were discounted by 3% per year.<sup><xref rid="R14" ref-type="bibr">14</xref></sup> We did not assume age weighting on DALYs (ie, no greater preference was assigned to life-years gained in the working age range). Costs were estimated in 2010 US$ using an exchange rate of 45.7 Indian rupees for one US$.<sup><xref rid="R15" ref-type="bibr">15</xref></sup></p><sec id="S6" sec-type="cases"><title>Cases of Hib Meningitis, Deaths, and Sequelae</title><p id="P9">Between 1997 and 1999, a prospective hospital surveillance study in Vellore reported Hib to be the cause of 44% (8 of 18) of confirmed cases of bacterial meningitis, with ~7 confirmed cases per 100 000 children aged less than 5 years.<sup><xref rid="R16" ref-type="bibr">16</xref></sup> Recent multicenter surveillance estimates from Vellore, Chennai, Lucknow, and New Delhi suggest that 70% of bacterial meningitis may be caused by Hib.<sup><xref rid="R17" ref-type="bibr">17</xref></sup> We used the lower and more conservative estimate of 44%, but made adjustments to account for cases of Hib that were not detected in the laboratory and cases that did not have access to care. Because 57% (24 of 42) of the purulent (probable) cases had no confirmed pathogen in the Vellore study, we assumed the percent of unconfirmed cases attributable to Hib to be the same as the percent of confirmed cases attributable to Hib (44%), based on WHO guidelines <sup><xref rid="R18" ref-type="bibr">18</xref></sup> and following methods used in other bacterial meningitis etiology studies.<sup><xref rid="R19" ref-type="bibr">19</xref></sup> In addition, we assumed that 23% of the cases would not have had access to formal medical care during this study based on the proportion of children living in Vellore who, according to the NFHS, did not seek care for acute lower respiratory infection (ALRI) in 2006.<sup><xref rid="R12" ref-type="bibr">12</xref></sup> Hence, the final adjusted Hib meningitis incidence was 22 per 100 000 children &#x0003c;5 years [7.12/(1&#x02013;57%)]/(1&#x02013;23%). We assumed this incidence estimate for all states.</p><p id="P10">State-level Hib meningitis case fatality ratios (CFRs) were calculated by adjusting the 11% CFR reported in multicenter bacterial surveillance sites in Chennai, Vellore, Lucknow, and New Delhi<sup><xref rid="R17" ref-type="bibr">17</xref></sup> by the state-level proportion of children without access to medical care. For children with no access to care, a 100% CFR was assumed.<sup><xref rid="R10" ref-type="bibr">10</xref></sup> State-level estimates of access to care were based on the NFHS 2006 survey with care seeking for ALRI considered to be a proxy for meningitis. The median state-level estimate of access to a medical provider was 71% and ranged from 44%&#x02013;89% across the states.<sup><xref rid="R12" ref-type="bibr">12</xref></sup> After adjusting for access to care, the median meningitis CFR was 36% and ranged from 21%&#x02013;61% across states.</p><p id="P11">A proportion of survivors of Hib meningitis suffer lifelong disabilities. Studies reporting the risk of sequelae following bacterial meningitis have been conducted in Chandigargh,<sup><xref rid="R20" ref-type="bibr">20</xref></sup> Kerala,<sup><xref rid="R21" ref-type="bibr">21</xref></sup> Varanasi,<sup><xref rid="R22" ref-type="bibr">22</xref></sup> Hyderabad,<sup><xref rid="R23" ref-type="bibr">23</xref></sup> and Pune.<sup><xref rid="R24" ref-type="bibr">24</xref></sup> Hib-specific data were presented in 3 of the studies,<sup><xref rid="R20" ref-type="bibr">20</xref>,<xref rid="R23" ref-type="bibr">23</xref>,<xref rid="R24" ref-type="bibr">24</xref></sup> but the study in Hyderabad only assessed hearing deficit and, therefore, was excluded. The pooled risk of major sequelae following Hib meningitis from the 2 remaining studies in Pune (5 of 13) and Chandigarh (4 of 13) was 35%.<sup><xref rid="R20" ref-type="bibr">20</xref>,<xref rid="R24" ref-type="bibr">24</xref></sup> These proportions are similar to the proportion of children who suffered sequelae in the US and other countries prior to the use of Hib conjugate vaccines.</p></sec><sec id="S7" sec-type="cases"><title>Cases of Hib Pneumonia and Deaths</title><p id="P12">Various studies of clinical pneumonia incidence have been conducted among children aged less than 5 years at the community-level in India. In these studies, the incidence per child per year was reported to be 0.54 (Haryana),<sup><xref rid="R25" ref-type="bibr">25</xref></sup> 0.29 (Pune),<sup><xref rid="R26" ref-type="bibr">26</xref></sup> 0.86 (Rajasthan),<sup><xref rid="R27" ref-type="bibr">27</xref></sup> 0.31 (Delhi),<sup><xref rid="R28" ref-type="bibr">28</xref></sup> 0.07 (Maharastra),<sup><xref rid="R29" ref-type="bibr">29</xref></sup> 0.10 (Lucknow),<sup><xref rid="R30" ref-type="bibr">30</xref></sup> 0.4 (Tripura),<sup><xref rid="R31" ref-type="bibr">31</xref></sup> 0.67 (Delhi),<sup><xref rid="R32" ref-type="bibr">32</xref></sup> and 0.53 (Karnataka).<sup><xref rid="R33" ref-type="bibr">33</xref></sup> These studies vary in terms of geographical location, study design, period of reporting, and definition of ALRI. We assumed the IQR from all reported estimates to give a plausible national range (ie, 0.29&#x02013;0.54 episodes per child per year). This is broadly consistent with previous estimates for India.<sup><xref rid="R34" ref-type="bibr">34</xref></sup></p><p id="P13">We assumed that the fraction of ALRI caused by Hib would be equal to the fraction of ALRI prevented by Hib conjugate vaccination (3.8%) in the only randomized controlled trial conducted in Asia (Lombok Island, Indonesia).<sup><xref rid="R7" ref-type="bibr">7</xref></sup> The IQR of Hib pneumonia incidence was therefore 1102 (3.8% &#x000d7; 29 000) to 2052 (3.8% &#x000d7; 54 000) per 100 000 children &#x0003c;5 years of age. The state-level distribution of Hib pneumonia incidence was assumed to be the same as the state-level distribution for the prevalence of underweight children,<sup><xref rid="R12" ref-type="bibr">12</xref></sup> a consistently reported risk factor for pneumonia in India.<sup><xref rid="R35" ref-type="bibr">35</xref>,<xref rid="R36" ref-type="bibr">36</xref></sup> Underweight children have weight-for-age that is 2 or more SDs lower than the median weight-for-age of an international reference population, which includes healthy children from Brazil, Ghana, India, Norway, Oman, and the US.<sup><xref rid="R37" ref-type="bibr">37</xref></sup></p><p id="P14">Regional estimates of the proportion of mortality of children &#x0003c;5 years of age caused by pneumonia in children aged 1&#x02013;59 months were reported in the Million Death Study: West (13%); South (8%); East (18%); North (15%); Northeast (16%); and, Central (17%).<sup><xref rid="R2" ref-type="bibr">2</xref></sup> These were multiplied by total deaths in children &#x0003c;5 years of age in each state to estimate pneumonia deaths in this age group.</p><p id="P15">The fraction of pneumonia deaths in children aged 1&#x02013;59 months caused by Hib is a contentious parameter and an important driver of cost-effectiveness results.<sup><xref rid="R10" ref-type="bibr">10</xref></sup> We derived this fraction by combining: (1) state-level estimates of Hib pneumonia incidence described above; (2) recent multisite estimates of hospitalised pneumonia incidence and CFRs, extrapolated to parent regions<sup><xref rid="R5" ref-type="bibr">5</xref></sup>; and (3) state-level estimates of access to medical care from the 2005&#x02013;2006 NFHS survey.<sup><xref rid="R12" ref-type="bibr">12</xref></sup> We further assumed a 23.6% CFR for all severe untreated pneumonia based on a community-based trial among children 0&#x02013;4 years in Gadchiroli, central India.<sup><xref rid="R38" ref-type="bibr">38</xref></sup> Using this approach (<xref rid="F2" ref-type="fig">Figure 2</xref>), we estimated 7% of pneumonia deaths in children aged 1&#x02013;59 months to be caused by Hib nationally, ranging from 1%&#x02013;11% across states. The 7% estimate is broadly consistent with the pooled 5% reduction in radiologic pneumonia found when combining the results from the only 2 Hib conjugate vaccine studies conducted in Asia. Using inverse variance meta-analysis, 64% weight was assigned to the randomized controlled trial in Indonesia (vaccine effectiveness &#x02013;10%; 95% CI &#x02212;33%, 9%) and 36% weight to the case control study in Bangladesh (vaccine effectiveness 32%; 95% CI &#x02212;2%, 54%).<sup><xref rid="R39" ref-type="bibr">39</xref></sup> This pooled estimate is, however, subject to large heterogeneity (I-squared 82%) and is far lower than previously reported global estimates. We, therefore, evaluated a separate scenario assuming Hib to be the cause of 20% of pneumonia deaths 1&#x02013;59 months across all states. The Hib global burden of disease project estimated 21% globally in children aged 1&#x02013;23 months based on a global meta-analysis using studies from Bangladesh, Indonesia, Chile, and The Gambia.<sup><xref rid="R13" ref-type="bibr">13</xref></sup> This is similar to the fraction reported by a hospital etiology study conducted in New Delhi around 20 years ago. In this study, Hib was estimated to be the cause of 19% (21 of 110) of hospitalized pneumonia in children &#x0003c;5 years,<sup><xref rid="R40" ref-type="bibr">40</xref></sup> although the study did not define whether the positive results of latex agglutination were found in urine (lower validity) or serum (higher validity). Two other studies from New Delhi and Chandigarh, estimated <italic>Haemophilus influenzae</italic> to be the cause in 16% (20 of 122)<sup><xref rid="R41" ref-type="bibr">41</xref></sup> and 13% (6 of 46)<sup><xref rid="R42" ref-type="bibr">42</xref></sup> of hospitalized pneumonia cases respectively, but did not distinguish type b from nontypeable or other <italic>Haemophilus influenzae</italic> types.</p></sec><sec id="S8" sec-type="cases"><title>Cases of Hib NPNM and Deaths</title><p id="P16">In the multicenter Invasive Bacterial Infections Surveillance Project (Chennai, Lucknow, Nagpur, New Delhi, Thiruvananthapuram, Vellore) one case of invasive NPNM Hib disease was confirmed for every 5.5 cases of Hib meningitis.<sup><xref rid="R43" ref-type="bibr">43</xref></sup> We applied this ratio to the meningitis incidence rate to derive an NPNM incidence rate of 4 per 100 000 children &#x0003c;5 years of age. We assumed 4.3% CFR for those with access to medical care based on the CFR reported by the Invasive Bacterial Infections Surveillance Project for Hib-positive cases without associated meningitis. We doubled the CFR for children without access to medical care (8.6%), but this conservative assumption is likely to underestimate the true mortality burden for invasive NPNM diseases. The adjusted state-level CFRs ranged from 5%&#x02013;7%.</p><p id="P17">Please see <xref rid="T1" ref-type="table">Table I</xref> for a full summary of the disease burden parameters used for each state.</p></sec><sec id="S9"><title>Health Care Utilization</title><p id="P18">For cases of Hib meningitis and Hib NPNM, we assumed that children with access to medical care would be admitted to hospital and also have 1 outpatient consultation, either as a referral or follow-up visit. For all cases of pneumonia, we assumed 1 outpatient visit per case for those with access to medical care and that a fraction of these would also be admitted to hospital. Severe clinical hospitalized pneumonia per 100 000 per year in children aged &#x0003c;2 years was recently reported in Chandigarh (2717), Vellore (3075), and Kolkata (7890). To avoid over-estimation of incidence, we converted incidence at age &#x0003c;2 years into incidence at age &#x0003c;5 years using national age distribution assumptions. We then used state-level estimates of clinical pneumonia incidence at age &#x0003c;5 years and access to medical care to calculate the fraction of cases with access to medical care who were hospitalized. We estimated that 3%, 6%, and 13% were hospitalized in each of the 3 sites. On this basis, we assumed 3% for all North and North Eastern States, 6% for the South and Western States, and 13% for the Central and Eastern States. We further assumed that these all-cause pneumonia fractions would apply to Hib pneumonia, to give median state-level incidence of admissions of 55 per 100 000 per year among children aged &#x0003c;5 years, ranging from 22&#x02013;185 across states.</p></sec><sec id="S10"><title>Health Service Costs</title><p id="P19">Costs for outpatient care differed according to whether the child was taken to a public or private facility, a traditional healer, or whether only drugs were purchased at a pharmacy. Costs for inpatient admissions varied with the level and type of hospital. The NFHS was used to estimate the proportion of children accessing each type of provider according to State (<xref rid="T2" ref-type="table">Table II</xref>).<sup><xref rid="R12" ref-type="bibr">12</xref></sup> The NFHS only includes a primary and a secondary/tertiary hospital level category for the public sector. To account for differences in costs between secondary and tertiary levels, we crudely assumed that tertiary-level care accounted for 5% of the reported visits/admissions in the combined secondary/tertiary category.</p><p id="P20">Treatment cost estimates are summarized in <xref rid="T3" ref-type="table">Table III</xref>. Two published sources were used. Household expenses were collected from the 60th round of the Government of India National Sample Survey Organization socioeconomic survey, conducted in 2004.<sup><xref rid="R44" ref-type="bibr">44</xref></sup> Questions on morbidity and health care were incorporated in the survey, including detailed questions about medical expenditures according to type of disease. Information was collected for every inpatient admission and outpatient visit for each member of the sample household during the 365 and 15 days preceding the survey, respectively. Household expenditures were categorized according to medicines, user fees, lodging, transport, etc. Results of the survey on respiratory ailments in children &#x0003c;5 years old were used for approximating household costs of pneumonia treatment. For this disease category, the nationwide sample sizes were 644 outpatient episodes and 238 inpatient admissions. The cost of a traditional healer consultation was assumed to be one-half the cost of a public sector clinic visit.</p><p id="P21">To estimate household costs of meningitis treatment, the pneumonia costs were adjusted upwards in accordance with the additional lengths of stay in hospital as reported in multicenter surveillance in Lucknow, Chennai, Vellore, and New Delhi in preparation for the Hib probe study.<sup><xref rid="R5" ref-type="bibr">5</xref></sup> This was 6 days for pneumonia/NPNM and 10 days for meningitis. Opportunity costs, in terms of time spent while looking after a sick child, were included in the sensitivity analysis by assuming the minimal wage rate of US$3.4 per day,<sup><xref rid="R45" ref-type="bibr">45</xref></sup> multiplied by the average length of stay in hospital. There is no empirical evidence from India on the costs of treating a case of sequelae or the life-time earnings lost because of caring for a child with permanent disability, so we did not include sequelae costs in the base case. However, in a scenario analysis based on a recent sequelae costing study from Senegal, we assumed undiscounted lifetime costs of US$53 165 per child with sequel.<sup><xref rid="R46" ref-type="bibr">46</xref></sup> To allow discounting of future costs, these costs were converted into annual costs spread over the entire life expectancy of each state.</p><p id="P22">Government costs of meningitis and pneumonia treatment were derived from a micro-costing study by Krishnan et al undertaken in the State of Haryana in children aged &#x0003c;5 years.<sup><xref rid="R47" ref-type="bibr">47</xref>,<xref rid="R48" ref-type="bibr">48</xref></sup> Data were collected from 2 primary health centers, 6 secondary hospitals, and 2 tertiary hospitals; 6 of these were government facilities and 2 were private. Another study on costs of severe pneumonia from 2 non-government organization hospitals in Vellore was used as a comparator.<sup><xref rid="R49" ref-type="bibr">49</xref></sup></p></sec><sec id="S11"><title>Age Distributions and DALY Estimates</title><p id="P23">The age distribution of Hib disease also was derived from the multicenter surveillance study. Among children &#x0003c;2 years of age with confirmed Hib disease, 24% were aged &#x0003c;3 months, 20% 3&#x02013;5 months, 21% 6&#x02013;8 months, 11% 9&#x02013;11 months, and 23% 12&#x02013;23 months old.<sup><xref rid="R5" ref-type="bibr">5</xref></sup> We assumed that 6% of children &#x0003c;5 years of age would occur between 24 and 59 months,<sup><xref rid="R50" ref-type="bibr">50</xref></sup> so proportions for &#x0003c;24 months were adjusted accordingly.</p><p id="P24">The original DALY formula and disability weights of 0.279 for pneumonia and 0.616 for meningitis were used.<sup><xref rid="R51" ref-type="bibr">51</xref></sup> Because there are no standard disability weights available for any of the NPNM diseases, the pneumonia weight was used. The weighted average disability weight for meningitis sequelae was 0.34 based on the reported global distribution of sequelae syndromes<sup><xref rid="R52" ref-type="bibr">52</xref></sup> and their respective disability weights.<sup><xref rid="R51" ref-type="bibr">51</xref></sup> The most common types of single sequela from Hib meningitis are hearing loss and seizures, comprising 33% and 16% of sequelae cases, respectively. Multiple sequelae are seen in approximately 20% of sequelae cases.<sup><xref rid="R52" ref-type="bibr">52</xref></sup></p></sec><sec id="S12"><title>Vaccine Coverage and Efficacy</title><p id="P25">To account for gradual or phased Hib conjugate vaccine introduction, we assumed 50% and 75% of diphtheria-tetanus-pertussis (DTP) coverage levels in the first 2 years and full DTP coverage thereafter. Coverage of the first 3 doses of DTP were based on the 2009 State-Level Coverage Evaluation Survey.<sup><xref rid="R53" ref-type="bibr">53</xref></sup> In the base case, we assumed no improvement in coverage over time, but this assumption was varied in scenario analysis to allow for annual improvements (reductions in the unvaccinated) over the period 2012&#x02013;2030. Many children do not receive their vaccines according to the recommended 6-, 10-, and 14-week schedule. We, therefore, estimated the timeliness of vaccination (age-specific coverage) for each state using previously described methods.<sup><xref rid="R54" ref-type="bibr">54</xref></sup></p><p id="P26">Simple multiplication of vaccine efficacy and vaccine coverage is likely to overestimate the impact of vaccination because children who receive the vaccine may not be at the highest risk of mortality. To account for this relative coverage effect, we estimated DTP2 coverage of underweight children relative to the total DTP2 coverage reported for the cohort,<sup><xref rid="R12" ref-type="bibr">12</xref></sup> the implication being that underweight children are likely to be at higher risk of death, and that DTP2 would broadly represent the relative coverage for all three doses. Relative coverage multipliers (coverage in underweight children divided by coverage in the cohort) were calculated for each State (<xref rid="F3" ref-type="fig">Figure 3</xref>).</p><p id="P27">To estimate the percent reduction in disease, the base case estimates accounted for state-level timeliness of vaccination, dose-specific coverage, and relative coverage. Vaccine efficacy was determined from a recent meta-analysis of controlled clinical Hib conjugate vaccine trials. In this analysis, efficacy against all forms of invasive Hib disease was 93% (95% CI 83%, 97%) following 3 doses, 92% (95% CI, 69%, 98%) following 2 doses, and 59% (95% CI 0%, 86%) following 1 dose.<sup><xref rid="R55" ref-type="bibr">55</xref></sup></p><p id="P28">Herd immunity and waning dose protection were not considered in the base case, but were included in scenarios. We assumed that vaccine protection could wane at a fixed rate of up to 5% per year, and that herd immunity could increase overall impact by up to 20%.<sup><xref rid="R56" ref-type="bibr">56</xref></sup></p></sec><sec id="S13"><title>Hib Conjugate Vaccine Cost Assumptions</title><p id="P29">Four Indian companies produce and market Hib conjugate vaccine: Serum Institute of India (Pune), Panacea Biotec (New Delhi), Bharat Biotech (Hyderabad), and Biological E (Hyderabad). The presentations are monovalent Hib conjugate vaccine and Hib combined with DTP and hepatitis B vaccines (&#x0201c;pentavalent vaccine&#x0201d;). Although Indian vaccine procurement is normally processed between the government and the manufacturers directly, Global Alliance for Vaccines and Immunization Alliance funded vaccines are purchased through United Nations Children&#x02019;s Fund, which only accepts WHO prequalified vaccines. The vaccine used in Tamil Nadu and Kerala is the 10-dose vial pentavalent vaccine produced by Serum Institute of India procured at a United Nations Children&#x02019;s Fund price of US$1.75 per dose.<sup><xref rid="R57" ref-type="bibr">57</xref></sup> For the base case we assumed a cost of $1.82 per dose (including 4% tax) and no decline in dose price over time. A declining price trend was evaluated in scenario analysis.</p><p id="P30">When estimating the incremental costs of Hib conjugate vaccine, we calculated the cost difference between a schedule with pentavalent vaccine and with DTP and hepatitis B vaccines. Phased introduction of monovalent hepatitis B vaccine in a 10-dose vial started in 2002 with nationwide uptake in 2011. The 2010 prices per dose of DTP and hepatitis B vaccines were US$0.04 and US$0.11, respectively.<sup><xref rid="R58" ref-type="bibr">58</xref></sup> Because a 10-dose pentavalent vaccine vial is used, there is no need to allow for cold chain expansion.</p></sec><sec id="S14"><title>Uncertainty Analysis</title><p id="P31">First, we varied each parameter in turn by &#x000b1;10% to establish the parameters with the greatest influence on the cost-effectiveness results (univariate 1-way sensitivity analysis). Second, we ran 19 alternative scenarios (10 favorable and nine unfavorable) to evaluate how sensitive the results were when we changed combinations of influential parameters (multivariate scenario analysis) (eg, given the uncertainty around the incidence of Hib disease in India), the most unfavorable scenario assumed a dramatically reduced incidence rate for both Hib pneumonia (50% of the base value) and Hib meningitis (32% of the base value) combined with several other unfavorable assumptions.</p></sec></sec><sec sec-type="results" id="S15"><title>Results</title><sec id="S16" sec-type="discussion"><title>Hib Conjugate Vaccine Impact</title><p id="P32">Between 2012 and 2031, Hib conjugate vaccination is estimated to prevent 207 859 undiscounted child deaths (&#x0003c;1% of deaths in children &#x0003c;5 years of age) assuming no benefit from herd immunity. Undiscounted lives saved were 127 869 for Hib pneumonia, 77 840 for Hib meningitis, and 2150 for Hib NPNM. The median reduction in total deaths of children &#x0003c;5 years of age was 0.9% and ranged from 0.3%&#x02013;2.0% across states (<xref rid="T4" ref-type="table">Table IV</xref> and <xref rid="F4" ref-type="fig">Figure 4</xref>).</p></sec><sec id="S17"><title>Hib Conjugate Vaccine Program Costs</title><p id="P33">The incremental costs of introducing Hib conjugate vaccination would be approximately US$127 million per year based on current vaccine prices (<xref rid="T5" ref-type="table">Table V</xref>). Without Hib conjugate vaccination, the cost of a fully vaccinated child (including monovalent hepatitis B) is US$2.19. Introduction of Hib conjugate vaccine increased annual costs four-fold, leading to costs per fully vaccinated child of US$8.81. The estimated total incremental cost for 2012&#x02013;2031 was US$2006 million after discounting at 3% per year.</p></sec><sec id="S18"><title>Health Care Costs Avoided by Hib Conjugate Vaccination</title><p id="P34">Around 15% of the vaccine costs would be offset by health care cost savings due to reduced cases of Hib disease. This percentage varied considerably by state; in the Central region around a one-quarter of the vaccine costs were offset by health care costs (<xref rid="T4" ref-type="table">Table IV</xref>). Total costs avoided over the 2012&#x02013;2031 period would be US$310 million after discounting at 3% per year. Around 77% (US$240 million) would be avoided by households, with the remaining US$70 million by the government.</p></sec><sec id="S19"><title>Hib Conjugate Vaccine Cost-Effectiveness</title><p id="P35">From a government perspective, state-level cost-effectiveness ranged from US$192-US$1033 per DALY averted after discounting costs and benefits at 3% per year. With the inclusion of household health care costs, cost-effectiveness ranged from US$155-US$939 per discounted DALY averted. The vaccine would be most cost-effective in the Central and Eastern States (<xref rid="F4" ref-type="fig">Figure 4</xref>). States with the highest percentage reductions in under-5 deaths were as diverse as Madhya Pradesh, Jharkhand, West Bengal, and Kerala.</p></sec><sec id="S20"><title>Uncertainty and Scenario Analyses</title><p id="P36">For a 10% change in each parameter, in all states the parameter with the largest percent impact on the discounted cost per DALY averted was relative coverage (12%&#x02013;17% effect across states), a parameter rarely included in cost-effectiveness studies of vaccines. In all states, the parameter with the second largest influence was vaccine dose price (11%&#x02013;16% effect). The influence and rank of other parameters varied by state, but the incidence of Hib pneumonia deaths and the efficacy of the vaccine against Hib pneumonia had important effects (7%&#x02013;14%) in all states.</p><p id="P37">A variety of assumptions, favorable and unfavorable to Hib conjugate vaccine introduction, were considered in scenario analysis (<xref rid="F5" ref-type="fig">Figure 5</xref>). Costs per DALY averted ranged from a cost saving scenario, in which health care cost savings are greater than the cost of the vaccine program itself, to an unfavorable scenario costing US$1830 per discounted DALY averted. <xref rid="F5" ref-type="fig">Figure 5</xref> shows the cost per DALY averted of the base case scenario (US$331) and the cumulative effect of introducing favorable and unfavorable assumptions in sequence. Hence, the most unfavorable scenario (US$1830) combines all unfavorable assumptions listed above the base case scenario, and the cost saving scenario combines all favorable assumptions listed below the base case scenario.</p></sec></sec><sec sec-type="discussion" id="S21"><title>Discussion</title><p id="P38">Models of this kind cannot and do not seek to estimate the precise epidemiologic &#x0201c;truth&#x0201d; about the impact of a vaccine. Instead, they provide a framework for exploring the implications of a range of plausible scenarios or &#x0201c;futures,&#x0201d; recognizing that, even with a large body of accumulated (and forthcoming) clinical evidence, there will be inherent and unavoidable uncertainties in a population as large and diverse as India&#x02019;s.</p><p id="P39">A large body of local epidemiologic evidence is available from India for many of the parameters considered in this model. Where information is lacking or uncertain, we have had to make assumptions. For example, &#x0201c;all-cause pneumonia&#x0201d; was used as a proxy when identifying risk-factors for &#x0201c;Hib pneumonia&#x0201d; and estimating access to care. Several assumptions also were required to generate plausible estimates of state-level variation. However, where significant uncertainties exist, we have varied them in scenario analysis to test the extent to which they have an important bearing on the results. Our scenario analysis explored the cumulative effect of adding a series of favourable and unfavorable assumptions in sequence. In our most unfavorable scenario, we assumed 50% of the base case incidence for Hib pneumonia, and the unadjusted incidence of 7 per 100 000 &#x0003c;5 years for Hib meningitis (less than one-third of the base case estimate). We also applied a 5% discount rate, 10% fewer outpatient visits and hospitalizations, 10% lower health care costs, lower vaccine efficacy (83% for 1 dose, 69% for 2 doses, 0% for 1 dose), no herd effect, delayed timing of vaccination, clustering of deaths in the unvaccinated population (relative coverage), 5% waning dose protection per year, and exclusion of all household health care cost savings. In spite of this extreme combination of unfavorable assumptions, the cost per DALY averted remained between 1 and 3 &#x000d7; gross domestic product (GDP) per capita, and would still be considered cost-effective according to WHO benchmarks.<sup><xref rid="R59" ref-type="bibr">59</xref></sup> Nearly all other scenarios, including the base case scenario, are considered highly cost-effective with costs/DALY below US$1410, which was the per capita GDP in India in 2010.<sup><xref rid="R60" ref-type="bibr">60</xref></sup> The WHO thresholds have been widely debated,<sup><xref rid="R61" ref-type="bibr">61</xref></sup> but the fact that all scenarios, even those with unfavorable combinations of assumptions, are within 3 times the GDP per capita, suggest that the vaccine would be good value for the Indian Government.</p><p id="P40">A state-level cost-effectiveness analysis of Hib conjugate vaccination was conducted in the State of Haryana using an earlier version of our model. With different estimates and assumptions for their base case scenario,<sup><xref rid="R62" ref-type="bibr">62</xref></sup> the authors report a discounted cost per DALY averted from a government perspective of US$819, which is similar to our estimate for Haryana State (US$903).</p><p id="P41">Investment in Hib conjugate vaccination would increase annual vaccine costs from US$42 million to US$170 million. However, current government spending on vaccines is very low (around 2% of the national health budget)<sup><xref rid="R63" ref-type="bibr">63</xref></sup> and US$8.81 per vaccinated child is still far less than other countries with similar economies spend on vaccines.<sup><xref rid="R64" ref-type="bibr">64</xref>,<xref rid="R65" ref-type="bibr">65</xref></sup> In addition, we estimate that about 15% of the additional vaccine program costs would potentially be offset by health care cost savings. Because the Indian health system is dominated by a large private sector, health care costs are largely in the form of out-of-pocket costs, which often result in substantial financial burdens to households. It is estimated that more than 40% of Indian households have to borrow money or sell assets to cover hospital expenses.<sup><xref rid="R66" ref-type="bibr">66</xref></sup> In our analysis, the costs avoided by households accounted for 77% of the total health care costs avoided.</p><p id="P42">Our evaluation supports nationwide introduction of Hib conjugate vaccination. It is encouraging that Hib conjugate vaccines have already been introduced in Tamil Nadu and Kerala, but we estimate that these states represent as little as 4% of the potential lives that could be saved each year in India. Hib conjugate vaccination would be most cost-effective in the Central and Eastern regions where there the vaccine has the greatest potential to reduce absolute numbers of deaths. Efforts should therefore be made to expedite nationwide introduction. The impact of Hib conjugate vaccination in India has already been demonstrated in a limited setting in India.<sup><xref rid="R67" ref-type="bibr">67</xref></sup> Nonetheless, it will be important to continue adequate surveillance to monitor the impact of this vaccine as introduction scales up.</p></sec></body><back><ack id="S22"><p>Supported by the Hib Initiative and funded by the GAVI Alliance.</p></ack><fn-group><fn id="FN2" fn-type="financial-disclosure"><p><bold>Author Disclosures</bold></p><p>M.S. has received research funding fromGlaxoSmithKline, Merck, and Pfizer (previously Wyeth Lederle Vaccines) and has served on the scientific advisory boards of GlaxoSmithKline, Merck, and Pfizer and received honoraria for these activities. The other authors declare no conflicts of interest, real or perceived.</p></fn></fn-group><glossary id="GL"><def-list><def-item><term id="G1">ALRI</term><def><p>Acute lower respiratory infection</p></def></def-item><def-item><term id="G2">CFR</term><def><p>Case fatality ratio</p></def></def-item><def-item><term id="G3">DALY</term><def><p>Disability adjusted life year</p></def></def-item><def-item><term id="G4">DTP</term><def><p>Diphtheria-tetanus-pertussis</p></def></def-item><def-item><term id="G5">GDP</term><def><p>Gross domestic product</p></def></def-item><def-item><term id="G6">Hib</term><def><p><italic>Haemophilus influenzae</italic> type b</p></def></def-item><def-item><term id="G7">NFHS</term><def><p>National Family Health Survey (also known as the Demographic and Health Survey or DHS)</p></def></def-item><def-item><term id="G8">NPNM</term><def><p>Non-pneumonia-non-meningitis</p></def></def-item><def-item><term id="G9">WHO</term><def><p>World Health Organization</p></def></def-item></def-list></glossary><ref-list><ref id="R1"><label>1</label><element-citation publication-type="web"><collab>UNPOP</collab><source>Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat, World Population Prospects: The 2008 Revision</source><comment>Available at: <ext-link ext-link-type="uri" xlink:href="http://esa.un.org/unpp">http://esa.un.org/unpp</ext-link>, Monday, March 21, 2011; 10:29:31 AM</comment><year>2008</year><date-in-citation>Accessed June 30, 2012</date-in-citation></element-citation></ref><ref id="R2"><label>2</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bassani</surname><given-names>DG</given-names></name><name><surname>Kumar</surname><given-names>R</given-names></name><name><surname>Awasthi</surname><given-names>S</given-names></name><name><surname>Morris</surname><given-names>SK</given-names></name><name><surname>Paul</surname><given-names>VK</given-names></name><name><surname>Shet</surname><given-names>A</given-names></name><etal/></person-group><article-title>Causes of neonatal and child mortality in India: a nationally representative mortality survey</article-title><source>Lancet</source><year>2010</year><volume>376</volume><fpage>1853</fpage><lpage>60</lpage><pub-id pub-id-type="pmid">21075444</pub-id></element-citation></ref><ref id="R3"><label>3</label><element-citation publication-type="journal"><article-title>NTAGI subcommittee recommendations on <italic>Haemophilus influenzae</italic> type B (Hib) vaccine introduction in India</article-title><source>Indian Pediatr</source><year>2009</year><volume>46</volume><fpage>945</fpage><lpage>54</lpage><pub-id pub-id-type="pmid">19955578</pub-id></element-citation></ref><ref id="R4"><label>4</label><element-citation publication-type="book"><collab>MOHFW</collab><source>National Technical Advisory Group on Immunization 16 June 2008: Minutes and Recommendations</source><year>2008</year></element-citation></ref><ref id="R5"><label>5</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gupta</surname><given-names>M</given-names></name><name><surname>Kumar</surname><given-names>R</given-names></name><name><surname>Deb</surname><given-names>AK</given-names></name><name><surname>Bhattacharya</surname><given-names>SK</given-names></name><name><surname>Bose</surname><given-names>A</given-names></name><name><surname>John</surname><given-names>J</given-names></name><etal/></person-group><article-title>Multi-center surveillance for pneumonia and meningitis among children (&#x0003c;2 year) for Hib vaccine probe trial preparation in India</article-title><source>Indian J Med Res</source><year>2010</year><volume>131</volume><fpage>649</fpage><lpage>58</lpage><pub-id pub-id-type="pmid">20516536</pub-id></element-citation></ref><ref id="R6"><label>6</label><element-citation publication-type="journal"><collab>WHO</collab><article-title>WHO position paper on Haemophilus influenzae type b conjugate vaccines. 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orientation="portrait" position="float"><label>Figure 2</label><caption><p>Method for estimating state-level Hib pneumonia cases and deaths at ages 1&#x02013;59 months.</p></caption><graphic xlink:href="nihms926963f2"/></fig><fig id="F3" orientation="portrait" position="float"><label>Figure 3</label><caption><p>State-level coverage of DTP2 vaccination: underweight infants relative to all infants. DTP2 coverage data from NFHS 2006.</p></caption><graphic xlink:href="nihms926963f3"/></fig><fig id="F4" orientation="portrait" position="float"><label>Figure 4</label><caption><p>Impact and cost-effectiveness of Hib vaccination by State of India.</p></caption><graphic xlink:href="nihms926963f4"/></fig><fig id="F5" orientation="portrait" position="float"><label>Figure 5</label><caption><p>Scenario analysis showing the cost per DALY averted for the base case scenario and the cumulative effect of introducing favourable and unfavorable assumptions in sequence. The <italic>plus symbol</italic> (+) indicates the sequential and cumulative addition of assumptions to the base case. These are either favorable to the vaccine (<italic>bottom</italic> half of chart) or unfavorable to the vaccine (<italic>top</italic> half of chart).</p></caption><graphic xlink:href="nihms926963f5"/></fig><table-wrap id="T1" position="float" orientation="landscape"><label>Table I</label><caption><p>Burden-of-disease parameters by state</p></caption><table frame="box" rules="groups"><thead><tr><th valign="bottom" rowspan="2" align="left" colspan="1">State</th><th valign="bottom" rowspan="2" align="left" colspan="1">Region</th><th valign="bottom" rowspan="2" align="right" colspan="1">Births per<break/>1000</th><th valign="bottom" rowspan="2" align="center" colspan="1">Mortality<break/>children<break/>&#x0003c;5 yrs per<break/>1000</th><th valign="bottom" rowspan="2" align="center" colspan="1">Life<break/>expectancy</th><th valign="bottom" rowspan="2" align="center" colspan="1">Percent<break/>underweight<xref rid="TFN1" ref-type="table-fn">*</xref></th><th valign="bottom" rowspan="2" align="center" colspan="1">Access<break/>to care</th><th colspan="3" valign="bottom" align="center" rowspan="1">Incidence per 100 000, 1&#x02013;59 mo
<hr/></th><th colspan="3" valign="bottom" align="center" rowspan="1">CFRs 1&#x02013;59 mo
<hr/></th></tr><tr><th valign="bottom" align="center" rowspan="1" colspan="1">Hib<break/>pneumonia</th><th valign="bottom" align="center" rowspan="1" colspan="1">Hib.<break/>meningitis</th><th valign="bottom" align="center" rowspan="1" colspan="1">Hib<break/>NPNM</th><th valign="bottom" align="center" rowspan="1" colspan="1">Hib<break/>pneumonia</th><th valign="bottom" align="center" rowspan="1" colspan="1">Hib.<break/>meningitis</th><th valign="bottom" align="center" rowspan="1" colspan="1">Hib<break/>NPNM</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Delhi</td><td align="left" valign="top" rowspan="1" colspan="1">North</td><td align="right" valign="top" rowspan="1" colspan="1">351</td><td align="center" valign="top" rowspan="1" colspan="1">25</td><td align="center" valign="top" rowspan="1" colspan="1">74</td><td align="center" valign="top" rowspan="1" colspan="1">26%</td><td align="center" valign="top" rowspan="1" colspan="1">89%</td><td align="center" valign="top" rowspan="1" colspan="1">1184</td><td align="center" valign="top" rowspan="1" colspan="1">22</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">0.1%</td><td align="center" valign="top" rowspan="1" colspan="1">21%</td><td align="center" valign="top" rowspan="1" colspan="1">5%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Haryana</td><td align="left" valign="top" rowspan="1" colspan="1">North</td><td align="right" valign="top" rowspan="1" colspan="1">547</td><td align="center" valign="top" rowspan="1" colspan="1">64</td><td align="center" valign="top" rowspan="1" colspan="1">70</td><td align="center" valign="top" rowspan="1" colspan="1">40%</td><td align="center" valign="top" rowspan="1" colspan="1">88%</td><td align="center" valign="top" rowspan="1" colspan="1">1530</td><td align="center" valign="top" rowspan="1" colspan="1">22</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">0.1%</td><td align="center" valign="top" rowspan="1" colspan="1">22%</td><td align="center" valign="top" rowspan="1" colspan="1">5%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Himachal Pradesh</td><td align="left" valign="top" rowspan="1" colspan="1">North</td><td align="right" valign="top" rowspan="1" colspan="1">125</td><td align="center" valign="top" rowspan="1" colspan="1">42</td><td align="center" valign="top" rowspan="1" colspan="1">73</td><td align="center" valign="top" rowspan="1" colspan="1">37%</td><td align="center" valign="top" rowspan="1" colspan="1">69%</td><td align="center" valign="top" rowspan="1" colspan="1">1450</td><td align="center" valign="top" rowspan="1" colspan="1">22</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">0.3%</td><td align="center" valign="top" rowspan="1" colspan="1">39%</td><td align="center" valign="top" rowspan="1" colspan="1">6%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Jammu and Kashmir</td><td align="left" valign="top" rowspan="1" colspan="1">North</td><td align="right" valign="top" rowspan="1" colspan="1">267</td><td align="center" valign="top" rowspan="1" colspan="1">76</td><td align="center" valign="top" rowspan="1" colspan="1">68</td><td align="center" valign="top" rowspan="1" colspan="1">26%</td><td align="center" valign="top" rowspan="1" colspan="1">73%</td><td align="center" valign="top" rowspan="1" colspan="1">1171</td><td align="center" valign="top" rowspan="1" colspan="1">22</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">0.3%</td><td align="center" valign="top" rowspan="1" colspan="1">35%</td><td align="center" valign="top" rowspan="1" colspan="1">5%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Punjab</td><td align="left" valign="top" rowspan="1" colspan="1">North</td><td align="right" valign="top" rowspan="1" colspan="1">519</td><td align="center" valign="top" rowspan="1" colspan="1">52</td><td align="center" valign="top" rowspan="1" colspan="1">71</td><td align="center" valign="top" rowspan="1" colspan="1">25%</td><td align="center" valign="top" rowspan="1" colspan="1">87%</td><td align="center" valign="top" rowspan="1" colspan="1">1153</td><td align="center" valign="top" rowspan="1" colspan="1">22</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">0.1%</td><td align="center" valign="top" rowspan="1" colspan="1">22%</td><td align="center" valign="top" rowspan="1" colspan="1">5%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Rajasthan</td><td align="left" valign="top" rowspan="1" colspan="1">North</td><td align="right" valign="top" rowspan="1" colspan="1">1735</td><td align="center" valign="top" rowspan="1" colspan="1">79</td><td align="center" valign="top" rowspan="1" colspan="1">69</td><td align="center" valign="top" rowspan="1" colspan="1">40%</td><td align="center" valign="top" rowspan="1" colspan="1">66%</td><td align="center" valign="top" rowspan="1" colspan="1">1537</td><td align="center" valign="top" rowspan="1" colspan="1">22</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">0.3%</td><td align="center" valign="top" rowspan="1" colspan="1">41%</td><td align="center" valign="top" rowspan="1" colspan="1">6%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Chhattisgarh</td><td align="left" valign="top" rowspan="1" colspan="1">Central</td><td align="right" valign="top" rowspan="1" colspan="1">629</td><td align="center" valign="top" rowspan="1" colspan="1">93</td><td align="center" valign="top" rowspan="1" colspan="1">64</td><td align="center" valign="top" rowspan="1" colspan="1">47%</td><td align="center" valign="top" rowspan="1" colspan="1">67%</td><td align="center" valign="top" rowspan="1" colspan="1">1722</td><td align="center" valign="top" rowspan="1" colspan="1">22</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">1.3%</td><td align="center" valign="top" rowspan="1" colspan="1">41%</td><td align="center" valign="top" rowspan="1" colspan="1">6%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Madhya Pradesh</td><td align="left" valign="top" rowspan="1" colspan="1">Central</td><td align="right" valign="top" rowspan="1" colspan="1">1981</td><td align="center" valign="top" rowspan="1" colspan="1">94</td><td align="center" valign="top" rowspan="1" colspan="1">65</td><td align="center" valign="top" rowspan="1" colspan="1">60%</td><td align="center" valign="top" rowspan="1" colspan="1">53%</td><td align="center" valign="top" rowspan="1" colspan="1">2052</td><td align="center" valign="top" rowspan="1" colspan="1">22</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">1.7%</td><td align="center" valign="top" rowspan="1" colspan="1">53%</td><td align="center" valign="top" rowspan="1" colspan="1">6%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Uttar Pradesh</td><td align="left" valign="top" rowspan="1" colspan="1">Central</td><td align="right" valign="top" rowspan="1" colspan="1">6216</td><td align="center" valign="top" rowspan="1" colspan="1">85</td><td align="center" valign="top" rowspan="1" colspan="1">66</td><td align="center" valign="top" rowspan="1" colspan="1">42%</td><td align="center" valign="top" rowspan="1" colspan="1">76%</td><td align="center" valign="top" rowspan="1" colspan="1">1601</td><td align="center" valign="top" rowspan="1" colspan="1">22</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">1.1%</td><td align="center" valign="top" rowspan="1" colspan="1">32%</td><td align="center" valign="top" rowspan="1" colspan="1">5%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Bihar</td><td align="left" valign="top" rowspan="1" colspan="1">East</td><td align="right" valign="top" rowspan="1" colspan="1">2487</td><td align="center" valign="top" rowspan="1" colspan="1">65</td><td align="center" valign="top" rowspan="1" colspan="1">69</td><td align="center" valign="top" rowspan="1" colspan="1">56%</td><td align="center" valign="top" rowspan="1" colspan="1">72%</td><td align="center" valign="top" rowspan="1" colspan="1">1947</td><td align="center" valign="top" rowspan="1" colspan="1">22</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">1.2%</td><td align="center" valign="top" rowspan="1" colspan="1">36%</td><td align="center" valign="top" rowspan="1" colspan="1">6%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Jharkhand</td><td align="left" valign="top" rowspan="1" colspan="1">East</td><td align="right" valign="top" rowspan="1" colspan="1">780</td><td align="center" valign="top" rowspan="1" colspan="1">72</td><td align="center" valign="top" rowspan="1" colspan="1">67</td><td align="center" valign="top" rowspan="1" colspan="1">57%</td><td align="center" valign="top" rowspan="1" colspan="1">71%</td><td align="center" valign="top" rowspan="1" colspan="1">1962</td><td align="center" valign="top" rowspan="1" colspan="1">22</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">1.2%</td><td align="center" valign="top" rowspan="1" colspan="1">37%</td><td align="center" valign="top" rowspan="1" colspan="1">6%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Orissa</td><td align="left" valign="top" rowspan="1" colspan="1">East</td><td align="right" valign="top" rowspan="1" colspan="1">837</td><td align="center" valign="top" rowspan="1" colspan="1">83</td><td align="center" valign="top" rowspan="1" colspan="1">66</td><td align="center" valign="top" rowspan="1" colspan="1">41%</td><td align="center" valign="top" rowspan="1" colspan="1">76%</td><td align="center" valign="top" rowspan="1" colspan="1">1558</td><td align="center" valign="top" rowspan="1" colspan="1">22</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">1.1%</td><td align="center" valign="top" rowspan="1" colspan="1">32%</td><td align="center" valign="top" rowspan="1" colspan="1">5%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">West Bengal</td><td align="left" valign="top" rowspan="1" colspan="1">East</td><td align="right" valign="top" rowspan="1" colspan="1">1675</td><td align="center" valign="top" rowspan="1" colspan="1">46</td><td align="center" valign="top" rowspan="1" colspan="1">71</td><td align="center" valign="top" rowspan="1" colspan="1">39%</td><td align="center" valign="top" rowspan="1" colspan="1">70%</td><td align="center" valign="top" rowspan="1" colspan="1">1507</td><td align="center" valign="top" rowspan="1" colspan="1">22</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">1.2%</td><td align="center" valign="top" rowspan="1" colspan="1">38%</td><td align="center" valign="top" rowspan="1" colspan="1">6%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">North East<xref rid="TFN2" ref-type="table-fn">&#x02020;</xref></td><td align="left" valign="top" rowspan="1" colspan="1">North East</td><td align="right" valign="top" rowspan="1" colspan="1">281</td><td align="center" valign="top" rowspan="1" colspan="1">46</td><td align="center" valign="top" rowspan="1" colspan="1">71</td><td align="center" valign="top" rowspan="1" colspan="1">36%</td><td align="center" valign="top" rowspan="1" colspan="1">44%</td><td align="center" valign="top" rowspan="1" colspan="1">1430</td><td align="center" valign="top" rowspan="1" colspan="1">22</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">0.5%</td><td align="center" valign="top" rowspan="1" colspan="1">61%</td><td align="center" valign="top" rowspan="1" colspan="1">7%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Gujaret</td><td align="left" valign="top" rowspan="1" colspan="1">West</td><td align="right" valign="top" rowspan="1" colspan="1">1203</td><td align="center" valign="top" rowspan="1" colspan="1">58</td><td align="center" valign="top" rowspan="1" colspan="1">71</td><td align="center" valign="top" rowspan="1" colspan="1">25%</td><td align="center" valign="top" rowspan="1" colspan="1">64%</td><td align="center" valign="top" rowspan="1" colspan="1">1156</td><td align="center" valign="top" rowspan="1" colspan="1">22</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">0.5%</td><td align="center" valign="top" rowspan="1" colspan="1">43%</td><td align="center" valign="top" rowspan="1" colspan="1">6%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Maharashtra</td><td align="left" valign="top" rowspan="1" colspan="1">West</td><td align="right" valign="top" rowspan="1" colspan="1">2258</td><td align="center" valign="top" rowspan="1" colspan="1">39</td><td align="center" valign="top" rowspan="1" colspan="1">70</td><td align="center" valign="top" rowspan="1" colspan="1">37%</td><td align="center" valign="top" rowspan="1" colspan="1">74%</td><td align="center" valign="top" rowspan="1" colspan="1">1463</td><td align="center" valign="top" rowspan="1" colspan="1">22</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">0.4%</td><td align="center" valign="top" rowspan="1" colspan="1">34%</td><td align="center" valign="top" rowspan="1" colspan="1">5%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Andhra Pradesh</td><td align="left" valign="top" rowspan="1" colspan="1">South</td><td align="right" valign="top" rowspan="1" colspan="1">1619</td><td align="center" valign="top" rowspan="1" colspan="1">55</td><td align="center" valign="top" rowspan="1" colspan="1">69</td><td align="center" valign="top" rowspan="1" colspan="1">33%</td><td align="center" valign="top" rowspan="1" colspan="1">60%</td><td align="center" valign="top" rowspan="1" colspan="1">1348</td><td align="center" valign="top" rowspan="1" colspan="1">22</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">0.6%</td><td align="center" valign="top" rowspan="1" colspan="1">46%</td><td align="center" valign="top" rowspan="1" colspan="1">6%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Karnataka</td><td align="left" valign="top" rowspan="1" colspan="1">South</td><td align="right" valign="top" rowspan="1" colspan="1">1165</td><td align="center" valign="top" rowspan="1" colspan="1">53</td><td align="center" valign="top" rowspan="1" colspan="1">70</td><td align="center" valign="top" rowspan="1" colspan="1">38%</td><td align="center" valign="top" rowspan="1" colspan="1">71%</td><td align="center" valign="top" rowspan="1" colspan="1">1478</td><td align="center" valign="top" rowspan="1" colspan="1">22</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">0.4%</td><td align="center" valign="top" rowspan="1" colspan="1">37%</td><td align="center" valign="top" rowspan="1" colspan="1">6%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Kerala</td><td align="left" valign="top" rowspan="1" colspan="1">South</td><td align="right" valign="top" rowspan="1" colspan="1">578</td><td align="center" valign="top" rowspan="1" colspan="1">12</td><td align="center" valign="top" rowspan="1" colspan="1">75</td><td align="center" valign="top" rowspan="1" colspan="1">23%</td><td align="center" valign="top" rowspan="1" colspan="1">89%</td><td align="center" valign="top" rowspan="1" colspan="1">1102</td><td align="center" valign="top" rowspan="1" colspan="1">22</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">0.2%</td><td align="center" valign="top" rowspan="1" colspan="1">21%</td><td align="center" valign="top" rowspan="1" colspan="1">5%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Tamil Nadu</td><td align="left" valign="top" rowspan="1" colspan="1">South</td><td align="right" valign="top" rowspan="1" colspan="1">1159</td><td align="center" valign="top" rowspan="1" colspan="1">43</td><td align="center" valign="top" rowspan="1" colspan="1">70</td><td align="center" valign="top" rowspan="1" colspan="1">30%</td><td align="center" valign="top" rowspan="1" colspan="1">77%</td><td align="center" valign="top" rowspan="1" colspan="1">1279</td><td align="center" valign="top" rowspan="1" colspan="1">22</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">0.3%</td><td align="center" valign="top" rowspan="1" colspan="1">31%</td><td align="center" valign="top" rowspan="1" colspan="1">5%</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>*</label><p>Weight for age &#x0003c; &#x02013;2SD from WHO reference population.</p></fn><fn id="TFN2"><label>&#x02020;</label><p>The North East region includes Sikkim, Arunachal Pradesh, Nagaland, Manipur, Mizoram, Tripura, Meghalaya, and Assam.</p></fn></table-wrap-foot></table-wrap><table-wrap id="T2" position="float" orientation="landscape"><label>Table II</label><caption><p>Distribution of inpatient admissions and outpatient visits by type of provider by state</p></caption><table frame="box" rules="groups"><thead><tr><th valign="top" align="left" rowspan="1" colspan="1"/><th valign="top" align="left" rowspan="1" colspan="1"/><th colspan="4" valign="bottom" align="center" rowspan="1">Inpatient distribution
<hr/></th><th colspan="8" valign="bottom" align="center" rowspan="1">Outpatient distribution
<hr/></th></tr><tr><th valign="bottom" align="left" rowspan="1" colspan="1">State</th><th valign="bottom" align="left" rowspan="1" colspan="1">Region</th><th valign="bottom" align="center" rowspan="1" colspan="1">Priv hosp<break/>All</th><th valign="bottom" align="right" rowspan="1" colspan="1">Gov hosp<break/>1ary</th><th valign="bottom" align="right" rowspan="1" colspan="1">Gov hosp<break/>2ary</th><th valign="bottom" align="center" rowspan="1" colspan="1">Gov hosp<break/>3ary</th><th valign="bottom" align="right" rowspan="1" colspan="1">Priv<break/>trad<xref rid="TFN4" ref-type="table-fn">*</xref></th><th valign="bottom" align="right" rowspan="1" colspan="1">Priv<break/>pharm</th><th valign="bottom" align="right" rowspan="1" colspan="1">Priv<break/>clinic</th><th valign="bottom" align="right" rowspan="1" colspan="1">Priv<break/>hosp All</th><th valign="bottom" align="right" rowspan="1" colspan="1">Gov<break/>clinic</th><th valign="bottom" align="right" rowspan="1" colspan="1">Gov hosp<break/>1ary</th><th valign="bottom" align="right" rowspan="1" colspan="1">Gov hosp<break/>2ary</th><th valign="bottom" align="center" rowspan="1" colspan="1">Gov hosp<break/>3ary</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Delhi</td><td align="left" valign="top" rowspan="1" colspan="1">North</td><td align="center" valign="top" rowspan="1" colspan="1">61%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">37%</td><td align="center" valign="top" rowspan="1" colspan="1">2%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">1%</td><td align="right" valign="top" rowspan="1" colspan="1">67%</td><td align="right" valign="top" rowspan="1" colspan="1">13%</td><td align="right" valign="top" rowspan="1" colspan="1">12%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">8%</td><td align="center" valign="top" rowspan="1" colspan="1">0%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Haryana</td><td align="left" valign="top" rowspan="1" colspan="1">North</td><td align="center" valign="top" rowspan="1" colspan="1">83%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">16%</td><td align="center" valign="top" rowspan="1" colspan="1">1%</td><td align="right" valign="top" rowspan="1" colspan="1">3%</td><td align="right" valign="top" rowspan="1" colspan="1">3%</td><td align="right" valign="top" rowspan="1" colspan="1">75%</td><td align="right" valign="top" rowspan="1" colspan="1">15%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">3%</td><td align="center" valign="top" rowspan="1" colspan="1">0%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Himachal Pradesh<xref rid="TFN6" ref-type="table-fn">&#x02021;</xref></td><td align="left" valign="top" rowspan="1" colspan="1">North</td><td align="center" valign="top" rowspan="1" colspan="1">39%</td><td align="right" valign="top" rowspan="1" colspan="1">38%</td><td align="right" valign="top" rowspan="1" colspan="1">21%</td><td align="center" valign="top" rowspan="1" colspan="1">1%</td><td align="right" valign="top" rowspan="1" colspan="1">2%</td><td align="right" valign="top" rowspan="1" colspan="1">6%</td><td align="right" valign="top" rowspan="1" colspan="1">51%</td><td align="right" valign="top" rowspan="1" colspan="1">14%</td><td align="right" valign="top" rowspan="1" colspan="1">5%</td><td align="right" valign="top" rowspan="1" colspan="1">14%</td><td align="right" valign="top" rowspan="1" colspan="1">8%</td><td align="center" valign="top" rowspan="1" colspan="1">0%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Jammu and Kashmir</td><td align="left" valign="top" rowspan="1" colspan="1">North</td><td align="center" valign="top" rowspan="1" colspan="1">18%</td><td align="right" valign="top" rowspan="1" colspan="1">62%</td><td align="right" valign="top" rowspan="1" colspan="1">19%</td><td align="center" valign="top" rowspan="1" colspan="1">1%</td><td align="right" valign="top" rowspan="1" colspan="1">1%</td><td align="right" valign="top" rowspan="1" colspan="1">19%</td><td align="right" valign="top" rowspan="1" colspan="1">31%</td><td align="right" valign="top" rowspan="1" colspan="1">8%</td><td align="right" valign="top" rowspan="1" colspan="1">3%</td><td align="right" valign="top" rowspan="1" colspan="1">28%</td><td align="right" valign="top" rowspan="1" colspan="1">9%</td><td align="center" valign="top" rowspan="1" colspan="1">0%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Punjab</td><td align="left" valign="top" rowspan="1" colspan="1">North</td><td align="center" valign="top" rowspan="1" colspan="1">72%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">26%</td><td align="center" valign="top" rowspan="1" colspan="1">1%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">5%</td><td align="right" valign="top" rowspan="1" colspan="1">73%</td><td align="right" valign="top" rowspan="1" colspan="1">16%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">6%</td><td align="center" valign="top" rowspan="1" colspan="1">0%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Rajasthan</td><td align="left" valign="top" rowspan="1" colspan="1">North</td><td align="center" valign="top" rowspan="1" colspan="1">32%</td><td align="right" valign="top" rowspan="1" colspan="1">49%</td><td align="right" valign="top" rowspan="1" colspan="1">18%</td><td align="center" valign="top" rowspan="1" colspan="1">1%</td><td align="right" valign="top" rowspan="1" colspan="1">2%</td><td align="right" valign="top" rowspan="1" colspan="1">7%</td><td align="right" valign="top" rowspan="1" colspan="1">41%</td><td align="right" valign="top" rowspan="1" colspan="1">14%</td><td align="right" valign="top" rowspan="1" colspan="1">6%</td><td align="right" valign="top" rowspan="1" colspan="1">22%</td><td align="right" valign="top" rowspan="1" colspan="1">8%</td><td align="center" valign="top" rowspan="1" colspan="1">0%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Chhattisgarh</td><td align="left" valign="top" rowspan="1" colspan="1">Central</td><td align="center" valign="top" rowspan="1" colspan="1">43%</td><td align="right" valign="top" rowspan="1" colspan="1">16%</td><td align="right" valign="top" rowspan="1" colspan="1">39%</td><td align="center" valign="top" rowspan="1" colspan="1">2%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">6%</td><td align="right" valign="top" rowspan="1" colspan="1">66%</td><td align="right" valign="top" rowspan="1" colspan="1">7%</td><td align="right" valign="top" rowspan="1" colspan="1">12%</td><td align="right" valign="top" rowspan="1" colspan="1">2%</td><td align="right" valign="top" rowspan="1" colspan="1">6%</td><td align="center" valign="top" rowspan="1" colspan="1">0%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Madhya Pradesh</td><td align="left" valign="top" rowspan="1" colspan="1">Central</td><td align="center" valign="top" rowspan="1" colspan="1">46%</td><td align="right" valign="top" rowspan="1" colspan="1">23%</td><td align="right" valign="top" rowspan="1" colspan="1">29%</td><td align="center" valign="top" rowspan="1" colspan="1">2%</td><td align="right" valign="top" rowspan="1" colspan="1">12%</td><td align="right" valign="top" rowspan="1" colspan="1">4%</td><td align="right" valign="top" rowspan="1" colspan="1">55%</td><td align="right" valign="top" rowspan="1" colspan="1">12%</td><td align="right" valign="top" rowspan="1" colspan="1">4%</td><td align="right" valign="top" rowspan="1" colspan="1">6%</td><td align="right" valign="top" rowspan="1" colspan="1">8%</td><td align="center" valign="top" rowspan="1" colspan="1">0%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Uttar Pradesh</td><td align="left" valign="top" rowspan="1" colspan="1">Central</td><td align="center" valign="top" rowspan="1" colspan="1">23%</td><td align="right" valign="top" rowspan="1" colspan="1">64%</td><td align="right" valign="top" rowspan="1" colspan="1">12%</td><td align="center" valign="top" rowspan="1" colspan="1">1%</td><td align="right" valign="top" rowspan="1" colspan="1">2%</td><td align="right" valign="top" rowspan="1" colspan="1">7%</td><td align="right" valign="top" rowspan="1" colspan="1">80%</td><td align="right" valign="top" rowspan="1" colspan="1">2%</td><td align="right" valign="top" rowspan="1" colspan="1">1%</td><td align="right" valign="top" rowspan="1" colspan="1">6%</td><td align="right" valign="top" rowspan="1" colspan="1">1%</td><td align="center" valign="top" rowspan="1" colspan="1">0%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Bihar</td><td align="left" valign="top" rowspan="1" colspan="1">East</td><td align="center" valign="top" rowspan="1" colspan="1">86%</td><td align="right" valign="top" rowspan="1" colspan="1">7%</td><td align="right" valign="top" rowspan="1" colspan="1">6%</td><td align="center" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">6%</td><td align="right" valign="top" rowspan="1" colspan="1">18%</td><td align="right" valign="top" rowspan="1" colspan="1">61%</td><td align="right" valign="top" rowspan="1" colspan="1">11%</td><td align="right" valign="top" rowspan="1" colspan="1">3%</td><td align="right" valign="top" rowspan="1" colspan="1">1%</td><td align="right" valign="top" rowspan="1" colspan="1">1%</td><td align="center" valign="top" rowspan="1" colspan="1">0%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Jharkhand</td><td align="left" valign="top" rowspan="1" colspan="1">East</td><td align="center" valign="top" rowspan="1" colspan="1">62%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">36%</td><td align="center" valign="top" rowspan="1" colspan="1">2%</td><td align="right" valign="top" rowspan="1" colspan="1">3%</td><td align="right" valign="top" rowspan="1" colspan="1">11%</td><td align="right" valign="top" rowspan="1" colspan="1">74%</td><td align="right" valign="top" rowspan="1" colspan="1">6%</td><td align="right" valign="top" rowspan="1" colspan="1">3%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">4%</td><td align="center" valign="top" rowspan="1" colspan="1">0%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Orissa</td><td align="left" valign="top" rowspan="1" colspan="1">East</td><td align="center" valign="top" rowspan="1" colspan="1">18%</td><td align="right" valign="top" rowspan="1" colspan="1">59%</td><td align="right" valign="top" rowspan="1" colspan="1">22%</td><td align="center" valign="top" rowspan="1" colspan="1">1%</td><td align="right" valign="top" rowspan="1" colspan="1">12%</td><td align="right" valign="top" rowspan="1" colspan="1">6%</td><td align="right" valign="top" rowspan="1" colspan="1">31%</td><td align="right" valign="top" rowspan="1" colspan="1">8%</td><td align="right" valign="top" rowspan="1" colspan="1">4%</td><td align="right" valign="top" rowspan="1" colspan="1">27%</td><td align="right" valign="top" rowspan="1" colspan="1">10%</td><td align="center" valign="top" rowspan="1" colspan="1">1%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">West Bengal</td><td align="left" valign="top" rowspan="1" colspan="1">East</td><td align="center" valign="top" rowspan="1" colspan="1">22%</td><td align="right" valign="top" rowspan="1" colspan="1">31%</td><td align="right" valign="top" rowspan="1" colspan="1">44%</td><td align="center" valign="top" rowspan="1" colspan="1">2%</td><td align="right" valign="top" rowspan="1" colspan="1">16%</td><td align="right" valign="top" rowspan="1" colspan="1">6%</td><td align="right" valign="top" rowspan="1" colspan="1">62%</td><td align="right" valign="top" rowspan="1" colspan="1">3%</td><td align="right" valign="top" rowspan="1" colspan="1">3%</td><td align="right" valign="top" rowspan="1" colspan="1">4%</td><td align="right" valign="top" rowspan="1" colspan="1">6%</td><td align="center" valign="top" rowspan="1" colspan="1">0%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">North East<xref rid="TFN5" ref-type="table-fn">&#x02020;</xref>,<xref rid="TFN6" ref-type="table-fn">&#x02021;</xref></td><td align="left" valign="top" rowspan="1" colspan="1">North East</td><td align="center" valign="top" rowspan="1" colspan="1">14%</td><td align="right" valign="top" rowspan="1" colspan="1">61%</td><td align="right" valign="top" rowspan="1" colspan="1">24%</td><td align="center" valign="top" rowspan="1" colspan="1">1%</td><td align="right" valign="top" rowspan="1" colspan="1">19%</td><td align="right" valign="top" rowspan="1" colspan="1">19%</td><td align="right" valign="top" rowspan="1" colspan="1">29%</td><td align="right" valign="top" rowspan="1" colspan="1">3%</td><td align="right" valign="top" rowspan="1" colspan="1">10%</td><td align="right" valign="top" rowspan="1" colspan="1">14%</td><td align="right" valign="top" rowspan="1" colspan="1">6%</td><td align="center" valign="top" rowspan="1" colspan="1">0%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Gujaret</td><td align="left" valign="top" rowspan="1" colspan="1">West</td><td align="center" valign="top" rowspan="1" colspan="1">67%</td><td align="right" valign="top" rowspan="1" colspan="1">9%</td><td align="right" valign="top" rowspan="1" colspan="1">23%</td><td align="center" valign="top" rowspan="1" colspan="1">1%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">4%</td><td align="right" valign="top" rowspan="1" colspan="1">51%</td><td align="right" valign="top" rowspan="1" colspan="1">28%</td><td align="right" valign="top" rowspan="1" colspan="1">4%</td><td align="right" valign="top" rowspan="1" colspan="1">4%</td><td align="right" valign="top" rowspan="1" colspan="1">9%</td><td align="center" valign="top" rowspan="1" colspan="1">0%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Maharashtra</td><td align="left" valign="top" rowspan="1" colspan="1">West</td><td align="center" valign="top" rowspan="1" colspan="1">56%</td><td align="right" valign="top" rowspan="1" colspan="1">9%</td><td align="right" valign="top" rowspan="1" colspan="1">32%</td><td align="center" valign="top" rowspan="1" colspan="1">2%</td><td align="right" valign="top" rowspan="1" colspan="1">4%</td><td align="right" valign="top" rowspan="1" colspan="1">3%</td><td align="right" valign="top" rowspan="1" colspan="1">62%</td><td align="right" valign="top" rowspan="1" colspan="1">17%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">3%</td><td align="right" valign="top" rowspan="1" colspan="1">10%</td><td align="center" valign="top" rowspan="1" colspan="1">1%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Andhra Pradesh</td><td align="left" valign="top" rowspan="1" colspan="1">South</td><td align="center" valign="top" rowspan="1" colspan="1">67%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">32%</td><td align="center" valign="top" rowspan="1" colspan="1">2%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">40%</td><td align="right" valign="top" rowspan="1" colspan="1">40%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">19%</td><td align="center" valign="top" rowspan="1" colspan="1">1%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Karnataka</td><td align="left" valign="top" rowspan="1" colspan="1">South</td><td align="center" valign="top" rowspan="1" colspan="1">70%</td><td align="right" valign="top" rowspan="1" colspan="1">18%</td><td align="right" valign="top" rowspan="1" colspan="1">12%</td><td align="center" valign="top" rowspan="1" colspan="1">1%</td><td align="right" valign="top" rowspan="1" colspan="1">4%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">38%</td><td align="right" valign="top" rowspan="1" colspan="1">38%</td><td align="right" valign="top" rowspan="1" colspan="1">3%</td><td align="right" valign="top" rowspan="1" colspan="1">10%</td><td align="right" valign="top" rowspan="1" colspan="1">6%</td><td align="center" valign="top" rowspan="1" colspan="1">0%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Kerala</td><td align="left" valign="top" rowspan="1" colspan="1">South</td><td align="center" valign="top" rowspan="1" colspan="1">63%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">35%</td><td align="center" valign="top" rowspan="1" colspan="1">2%</td><td align="right" valign="top" rowspan="1" colspan="1">11%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">4%</td><td align="right" valign="top" rowspan="1" colspan="1">50%</td><td align="right" valign="top" rowspan="1" colspan="1">7%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">27%</td><td align="center" valign="top" rowspan="1" colspan="1">1%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Tamil Nadu</td><td align="left" valign="top" rowspan="1" colspan="1">South</td><td align="center" valign="top" rowspan="1" colspan="1">41%</td><td align="right" valign="top" rowspan="1" colspan="1">17%</td><td align="right" valign="top" rowspan="1" colspan="1">40%</td><td align="center" valign="top" rowspan="1" colspan="1">2%</td><td align="right" valign="top" rowspan="1" colspan="1">4%</td><td align="right" valign="top" rowspan="1" colspan="1">1%</td><td align="right" valign="top" rowspan="1" colspan="1">25%</td><td align="right" valign="top" rowspan="1" colspan="1">28%</td><td align="right" valign="top" rowspan="1" colspan="1">0%</td><td align="right" valign="top" rowspan="1" colspan="1">12%</td><td align="right" valign="top" rowspan="1" colspan="1">28%</td><td align="center" valign="top" rowspan="1" colspan="1">1%</td></tr></tbody></table><table-wrap-foot><fn id="TFN3"><p><italic>1ary</italic>, primary; <italic>2ary</italic>, secondary; <italic>3ary</italic>, tertiary; <italic>gov</italic>, government; <italic>hosp</italic>, hospital; <italic>pharm</italic>, pharmacy; <italic>priv</italic>, private; <italic>trad</italic>, traditional.</p></fn><fn id="TFN4"><label>*</label><p>Priv Trad refers to private nonmedical healthcare provider (eg, traditional healer).</p></fn><fn id="TFN5"><label>&#x02020;</label><p>The North East region includes Sikkim, Arunachal Pradesh, Nagaland, Manipur, Mizoram, Tripura, Meghalaya, and Assam. The following smaller areas were excluded from the evaluation: Andoman and Nicobar Islands, Chandigarh, Dadra and Nagar Haveli, Daman and Diu, Goa, Lakshadweep, Pondicherry, and Uttaranchal.</p></fn><fn id="TFN6"><label>&#x02021;</label><p>Regional distribution was used because estimates for this state were based on a low sample of children (weighted number of children &#x0003c;25).</p></fn></table-wrap-foot></table-wrap><table-wrap id="T3" position="float" orientation="landscape"><label>Table III</label><caption><p>Average Hib disease treatment costs per inpatient admission and outpatient visit (2010 US$)</p></caption><table frame="box" rules="groups"><thead><tr><th valign="top" align="left" rowspan="1" colspan="1"/><th valign="top" align="left" rowspan="1" colspan="1"/><th colspan="4" valign="bottom" align="center" rowspan="1">Cost per inpatient admission
<hr/></th><th colspan="4" valign="bottom" align="center" rowspan="1">Cost per outpatient visit
<hr/></th></tr><tr><th valign="bottom" align="left" rowspan="1" colspan="1">Type of Hib disease</th><th valign="bottom" align="left" rowspan="1" colspan="1">Region</th><th valign="bottom" align="center" rowspan="1" colspan="1">Priv hosp All</th><th valign="bottom" align="center" rowspan="1" colspan="1">Gov hosp 1ary</th><th valign="bottom" align="center" rowspan="1" colspan="1">Gov hosp 2ary</th><th valign="bottom" align="left" rowspan="1" colspan="1">Gov hosp 3ary</th><th valign="bottom" align="center" rowspan="1" colspan="1">Priv trad</th><th valign="bottom" align="center" rowspan="1" colspan="1">Priv pharm</th><th valign="bottom" align="right" rowspan="1" colspan="1">Priv clinic or hosp</th><th valign="bottom" align="right" rowspan="1" colspan="1">Gov clinic or hosp</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Meningitis</td><td align="left" valign="top" rowspan="1" colspan="1">North</td><td align="center" valign="top" rowspan="1" colspan="1">204</td><td align="center" valign="top" rowspan="1" colspan="1">336 (51%)</td><td align="center" valign="top" rowspan="1" colspan="1">343 (50%)</td><td align="left" valign="top" rowspan="1" colspan="1">551 (31%)</td><td align="center" valign="top" rowspan="1" colspan="1">6</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="right" valign="top" rowspan="1" colspan="1">11</td><td align="right" valign="top" rowspan="1" colspan="1">15 (81%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Central</td><td align="center" valign="top" rowspan="1" colspan="1">345</td><td align="center" valign="top" rowspan="1" colspan="1">505 (67%)</td><td align="center" valign="top" rowspan="1" colspan="1">513 (66%)</td><td align="left" valign="top" rowspan="1" colspan="1">721 (47%)</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="right" valign="top" rowspan="1" colspan="1">9</td><td align="right" valign="top" rowspan="1" colspan="1">6 (49%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">East</td><td align="center" valign="top" rowspan="1" colspan="1">229</td><td align="center" valign="top" rowspan="1" colspan="1">217 (24%)</td><td align="center" valign="top" rowspan="1" colspan="1">225 (23%)</td><td align="left" valign="top" rowspan="1" colspan="1">433 (12%)</td><td align="center" valign="top" rowspan="1" colspan="1">5</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="right" valign="top" rowspan="1" colspan="1">5</td><td align="right" valign="top" rowspan="1" colspan="1">13 (77%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Northeast</td><td align="center" valign="top" rowspan="1" colspan="1">468</td><td align="center" valign="top" rowspan="1" colspan="1">206 (20%)</td><td align="center" valign="top" rowspan="1" colspan="1">213 (19%)</td><td align="left" valign="top" rowspan="1" colspan="1">422 (10%)</td><td align="center" valign="top" rowspan="1" colspan="1">3</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="right" valign="top" rowspan="1" colspan="1">5</td><td align="right" valign="top" rowspan="1" colspan="1">10 (70%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">West</td><td align="center" valign="top" rowspan="1" colspan="1">483</td><td align="center" valign="top" rowspan="1" colspan="1">232 (29%)</td><td align="center" valign="top" rowspan="1" colspan="1">240 (28%)</td><td align="left" valign="top" rowspan="1" colspan="1">448 (15%)</td><td align="center" valign="top" rowspan="1" colspan="1">0</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="right" valign="top" rowspan="1" colspan="1">6</td><td align="right" valign="top" rowspan="1" colspan="1">4 (18%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">South</td><td align="center" valign="top" rowspan="1" colspan="1">193</td><td align="center" valign="top" rowspan="1" colspan="1">201 (18%)</td><td align="center" valign="top" rowspan="1" colspan="1">208 (17%)</td><td align="left" valign="top" rowspan="1" colspan="1">417 (9%)</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="right" valign="top" rowspan="1" colspan="1">7</td><td align="right" valign="top" rowspan="1" colspan="1">5 (37%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Pneumonia/NPNM</td><td align="left" valign="top" rowspan="1" colspan="1">North</td><td align="center" valign="top" rowspan="1" colspan="1">126</td><td align="center" valign="top" rowspan="1" colspan="1">202 (52%)</td><td align="center" valign="top" rowspan="1" colspan="1">207 (51%)</td><td align="left" valign="top" rowspan="1" colspan="1">329 (32%)</td><td align="center" valign="top" rowspan="1" colspan="1">6</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="right" valign="top" rowspan="1" colspan="1">11</td><td align="right" valign="top" rowspan="1" colspan="1">15 (81%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Central</td><td align="center" valign="top" rowspan="1" colspan="1">213</td><td align="center" valign="top" rowspan="1" colspan="1">307 (69%)</td><td align="center" valign="top" rowspan="1" colspan="1">312 (68%)</td><td align="left" valign="top" rowspan="1" colspan="1">434 (48%)</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="right" valign="top" rowspan="1" colspan="1">9</td><td align="right" valign="top" rowspan="1" colspan="1">6 (49%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">East</td><td align="center" valign="top" rowspan="1" colspan="1">141</td><td align="center" valign="top" rowspan="1" colspan="1">129 (25%)</td><td align="center" valign="top" rowspan="1" colspan="1">134 (24%)</td><td align="left" valign="top" rowspan="1" colspan="1">256 (13%)</td><td align="center" valign="top" rowspan="1" colspan="1">5</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="right" valign="top" rowspan="1" colspan="1">5</td><td align="right" valign="top" rowspan="1" colspan="1">13 (77%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Northeast</td><td align="center" valign="top" rowspan="1" colspan="1">289</td><td align="center" valign="top" rowspan="1" colspan="1">122 (21%)</td><td align="center" valign="top" rowspan="1" colspan="1">127 (20%)</td><td align="left" valign="top" rowspan="1" colspan="1">249 (10%)</td><td align="center" valign="top" rowspan="1" colspan="1">3</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="right" valign="top" rowspan="1" colspan="1">5</td><td align="right" valign="top" rowspan="1" colspan="1">10 (70%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">West</td><td align="center" valign="top" rowspan="1" colspan="1">298</td><td align="center" valign="top" rowspan="1" colspan="1">139 (30%)</td><td align="center" valign="top" rowspan="1" colspan="1">143 (29%)</td><td align="left" valign="top" rowspan="1" colspan="1">266 (16%)</td><td align="center" valign="top" rowspan="1" colspan="1">0</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="right" valign="top" rowspan="1" colspan="1">6</td><td align="right" valign="top" rowspan="1" colspan="1">4 (18%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">South</td><td align="center" valign="top" rowspan="1" colspan="1">119</td><td align="center" valign="top" rowspan="1" colspan="1">119 (19%)</td><td align="center" valign="top" rowspan="1" colspan="1">124 (18%)</td><td align="left" valign="top" rowspan="1" colspan="1">246 (9%)</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="right" valign="top" rowspan="1" colspan="1">7</td><td align="right" valign="top" rowspan="1" colspan="1">5 (37%)</td></tr></tbody></table><table-wrap-foot><fn id="TFN7"><p>Parentheses show the percentage of total costs by households at government providers.</p></fn></table-wrap-foot></table-wrap><table-wrap id="T4" position="float" orientation="landscape"><label>Table IV</label><caption><p>Hib vaccine impact and cost-effectiveness by state: aggregate estimates over the period 2012&#x02013;2031</p></caption><table frame="box" rules="groups"><thead><tr><th valign="bottom" align="left" rowspan="1" colspan="1"/><th valign="bottom" align="right" rowspan="1" colspan="1"/><th colspan="5" valign="bottom" align="center" rowspan="1">Vaccine impact, undiscounted
<hr/></th><th colspan="6" valign="bottom" align="center" rowspan="1">Cost-effectiveness, discounted at 3%
<hr/></th></tr><tr><th valign="bottom" align="left" rowspan="1" colspan="1">State</th><th valign="bottom" align="right" rowspan="1" colspan="1">Region</th><th valign="bottom" align="right" rowspan="1" colspan="1">Pneumonia<break/>lives saved</th><th valign="bottom" align="right" rowspan="1" colspan="1">Meningitis<break/>lives<break/>saved</th><th valign="bottom" align="right" rowspan="1" colspan="1">NPNM<break/>lives<break/>saved</th><th valign="bottom" align="right" rowspan="1" colspan="1">Total<break/>lives<break/>saved</th><th valign="bottom" align="center" rowspan="1" colspan="1">Percent<break/>of U5MR<break/>averted</th><th valign="bottom" align="right" rowspan="1" colspan="1">Vaccine<break/>costs<break/>(millions)</th><th valign="bottom" align="right" rowspan="1" colspan="1">Gov cost<break/>savings<break/>(millions)</th><th valign="bottom" align="right" rowspan="1" colspan="1">Family cost<break/>savings<break/>(millions)</th><th valign="bottom" align="right" rowspan="1" colspan="1">Total<break/>DALYs<break/>averted</th><th valign="bottom" align="center" rowspan="1" colspan="1">US$ per<break/>DALY averted<break/>(government<break/>perspective)</th><th valign="bottom" align="center" rowspan="1" colspan="1">US$ per<break/>DALY averted<break/>(societal<break/>perspective)</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Delhi</td><td align="right" valign="top" rowspan="1" colspan="1">North</td><td align="right" valign="top" rowspan="1" colspan="1">278</td><td align="right" valign="top" rowspan="1" colspan="1">807</td><td align="right" valign="top" rowspan="1" colspan="1">34</td><td align="right" valign="top" rowspan="1" colspan="1">1119</td><td align="center" valign="top" rowspan="1" colspan="1">0.6%</td><td align="right" valign="top" rowspan="1" colspan="1">$36</td><td align="right" valign="top" rowspan="1" colspan="1">$0.6</td><td align="right" valign="top" rowspan="1" colspan="1">$3.2</td><td align="right" valign="top" rowspan="1" colspan="1">34 470</td><td align="center" valign="top" rowspan="1" colspan="1">1033</td><td align="center" valign="top" rowspan="1" colspan="1">939</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Haryana</td><td align="right" valign="top" rowspan="1" colspan="1">North</td><td align="right" valign="top" rowspan="1" colspan="1">472</td><td align="right" valign="top" rowspan="1" colspan="1">1038</td><td align="right" valign="top" rowspan="1" colspan="1">42</td><td align="right" valign="top" rowspan="1" colspan="1">1552</td><td align="center" valign="top" rowspan="1" colspan="1">0.3%</td><td align="right" valign="top" rowspan="1" colspan="1">$43</td><td align="right" valign="top" rowspan="1" colspan="1">$0.3</td><td align="right" valign="top" rowspan="1" colspan="1">$4.9</td><td align="right" valign="top" rowspan="1" colspan="1">47 096</td><td align="center" valign="top" rowspan="1" colspan="1">903</td><td align="center" valign="top" rowspan="1" colspan="1">800</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Himachal Pradesh</td><td align="right" valign="top" rowspan="1" colspan="1">North</td><td align="right" valign="top" rowspan="1" colspan="1">253</td><td align="right" valign="top" rowspan="1" colspan="1">506</td><td align="right" valign="top" rowspan="1" colspan="1">13</td><td align="right" valign="top" rowspan="1" colspan="1">773</td><td align="center" valign="top" rowspan="1" colspan="1">1.0%</td><td align="right" valign="top" rowspan="1" colspan="1">$10</td><td align="right" valign="top" rowspan="1" colspan="1">$0.3</td><td align="right" valign="top" rowspan="1" colspan="1">$1.0</td><td align="right" valign="top" rowspan="1" colspan="1">20 314</td><td align="center" valign="top" rowspan="1" colspan="1">500</td><td align="center" valign="top" rowspan="1" colspan="1">453</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Jammu and Kashmir</td><td align="right" valign="top" rowspan="1" colspan="1">North</td><td align="right" valign="top" rowspan="1" colspan="1">262</td><td align="right" valign="top" rowspan="1" colspan="1">662</td><td align="right" valign="top" rowspan="1" colspan="1">19</td><td align="right" valign="top" rowspan="1" colspan="1">943</td><td align="center" valign="top" rowspan="1" colspan="1">0.3%</td><td align="right" valign="top" rowspan="1" colspan="1">$20</td><td align="right" valign="top" rowspan="1" colspan="1">$0.5</td><td align="right" valign="top" rowspan="1" colspan="1">$1.2</td><td align="right" valign="top" rowspan="1" colspan="1">25 620</td><td align="center" valign="top" rowspan="1" colspan="1">777</td><td align="center" valign="top" rowspan="1" colspan="1">728</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Punjab</td><td align="right" valign="top" rowspan="1" colspan="1">North</td><td align="right" valign="top" rowspan="1" colspan="1">364</td><td align="right" valign="top" rowspan="1" colspan="1">1048</td><td align="right" valign="top" rowspan="1" colspan="1">41</td><td align="right" valign="top" rowspan="1" colspan="1">1453</td><td align="center" valign="top" rowspan="1" colspan="1">0.4%</td><td align="right" valign="top" rowspan="1" colspan="1">$45</td><td align="right" valign="top" rowspan="1" colspan="1">$0.4</td><td align="right" valign="top" rowspan="1" colspan="1">$3.7</td><td align="right" valign="top" rowspan="1" colspan="1">44 145</td><td align="center" valign="top" rowspan="1" colspan="1">1017</td><td align="center" valign="top" rowspan="1" colspan="1">934</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Rajasthan</td><td align="right" valign="top" rowspan="1" colspan="1">North</td><td align="right" valign="top" rowspan="1" colspan="1">2942</td><td align="right" valign="top" rowspan="1" colspan="1">5492</td><td align="right" valign="top" rowspan="1" colspan="1">140</td><td align="right" valign="top" rowspan="1" colspan="1">8575</td><td align="center" valign="top" rowspan="1" colspan="1">0.4%</td><td align="right" valign="top" rowspan="1" colspan="1">$118</td><td align="right" valign="top" rowspan="1" colspan="1">$3.0</td><td align="right" valign="top" rowspan="1" colspan="1">$9.9</td><td align="right" valign="top" rowspan="1" colspan="1">220 070</td><td align="center" valign="top" rowspan="1" colspan="1">524</td><td align="center" valign="top" rowspan="1" colspan="1">479</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Chhattisgarh</td><td align="right" valign="top" rowspan="1" colspan="1">Central</td><td align="right" valign="top" rowspan="1" colspan="1">6050</td><td align="right" valign="top" rowspan="1" colspan="1">2315</td><td align="right" valign="top" rowspan="1" colspan="1">59</td><td align="right" valign="top" rowspan="1" colspan="1">8424</td><td align="center" valign="top" rowspan="1" colspan="1">1.0%</td><td align="right" valign="top" rowspan="1" colspan="1">$51</td><td align="right" valign="top" rowspan="1" colspan="1">$2.8</td><td align="right" valign="top" rowspan="1" colspan="1">$11.3</td><td align="right" valign="top" rowspan="1" colspan="1">197 709</td><td align="center" valign="top" rowspan="1" colspan="1">245</td><td align="center" valign="top" rowspan="1" colspan="1">188</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Madhya Pradesh</td><td align="right" valign="top" rowspan="1" colspan="1">Central</td><td align="right" valign="top" rowspan="1" colspan="1">21 415</td><td align="right" valign="top" rowspan="1" colspan="1">7010</td><td align="right" valign="top" rowspan="1" colspan="1">152</td><td align="right" valign="top" rowspan="1" colspan="1">28 578</td><td align="center" valign="top" rowspan="1" colspan="1">1.1%</td><td align="right" valign="top" rowspan="1" colspan="1">$133</td><td align="right" valign="top" rowspan="1" colspan="1">$5.6</td><td align="right" valign="top" rowspan="1" colspan="1">$24.4</td><td align="right" valign="top" rowspan="1" colspan="1">661 798</td><td align="center" valign="top" rowspan="1" colspan="1">192</td><td align="center" valign="top" rowspan="1" colspan="1">155</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Uttar Pradesh</td><td align="right" valign="top" rowspan="1" colspan="1">Central</td><td align="right" valign="top" rowspan="1" colspan="1">30 054</td><td align="right" valign="top" rowspan="1" colspan="1">12 112</td><td align="right" valign="top" rowspan="1" colspan="1">364</td><td align="right" valign="top" rowspan="1" colspan="1">42 531</td><td align="center" valign="top" rowspan="1" colspan="1">0.5%</td><td align="right" valign="top" rowspan="1" colspan="1">$432</td><td align="right" valign="top" rowspan="1" colspan="1">$24.6</td><td align="right" valign="top" rowspan="1" colspan="1">$82.6</td><td align="right" valign="top" rowspan="1" colspan="1">1 040 354</td><td align="center" valign="top" rowspan="1" colspan="1">392</td><td align="center" valign="top" rowspan="1" colspan="1">312</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Bihar</td><td align="right" valign="top" rowspan="1" colspan="1">East</td><td align="right" valign="top" rowspan="1" colspan="1">19 200</td><td align="right" valign="top" rowspan="1" colspan="1">6431</td><td align="right" valign="top" rowspan="1" colspan="1">179</td><td align="right" valign="top" rowspan="1" colspan="1">25 810</td><td align="center" valign="top" rowspan="1" colspan="1">1.0%</td><td align="right" valign="top" rowspan="1" colspan="1">$169</td><td align="right" valign="top" rowspan="1" colspan="1">$2.4</td><td align="right" valign="top" rowspan="1" colspan="1">$24.4</td><td align="right" valign="top" rowspan="1" colspan="1">617 964</td><td align="center" valign="top" rowspan="1" colspan="1">269</td><td align="center" valign="top" rowspan="1" colspan="1">229</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Jharkhand</td><td align="right" valign="top" rowspan="1" colspan="1">East</td><td align="right" valign="top" rowspan="1" colspan="1">7482</td><td align="right" valign="top" rowspan="1" colspan="1">2493</td><td align="right" valign="top" rowspan="1" colspan="1">68</td><td align="right" valign="top" rowspan="1" colspan="1">10 043</td><td align="center" valign="top" rowspan="1" colspan="1">1.2%</td><td align="right" valign="top" rowspan="1" colspan="1">$62</td><td align="right" valign="top" rowspan="1" colspan="1">$2.5</td><td align="right" valign="top" rowspan="1" colspan="1">$7.8</td><td align="right" valign="top" rowspan="1" colspan="1">237 934</td><td align="center" valign="top" rowspan="1" colspan="1">252</td><td align="center" valign="top" rowspan="1" colspan="1">219</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Orissa</td><td align="right" valign="top" rowspan="1" colspan="1">East</td><td align="right" valign="top" rowspan="1" colspan="1">4820</td><td align="right" valign="top" rowspan="1" colspan="1">1995</td><td align="right" valign="top" rowspan="1" colspan="1">60</td><td align="right" valign="top" rowspan="1" colspan="1">6876</td><td align="center" valign="top" rowspan="1" colspan="1">0.7%</td><td align="right" valign="top" rowspan="1" colspan="1">$58</td><td align="right" valign="top" rowspan="1" colspan="1">$4.7</td><td align="right" valign="top" rowspan="1" colspan="1">$4.9</td><td align="right" valign="top" rowspan="1" colspan="1">169 599</td><td align="center" valign="top" rowspan="1" colspan="1">315</td><td align="center" valign="top" rowspan="1" colspan="1">286</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">West Bengal</td><td align="right" valign="top" rowspan="1" colspan="1">East</td><td align="right" valign="top" rowspan="1" colspan="1">12 577</td><td align="right" valign="top" rowspan="1" colspan="1">5468</td><td align="right" valign="top" rowspan="1" colspan="1">147</td><td align="right" valign="top" rowspan="1" colspan="1">18 191</td><td align="center" valign="top" rowspan="1" colspan="1">1.5%</td><td align="right" valign="top" rowspan="1" colspan="1">$130</td><td align="right" valign="top" rowspan="1" colspan="1">$8.3</td><td align="right" valign="top" rowspan="1" colspan="1">$8.9</td><td align="right" valign="top" rowspan="1" colspan="1">439 363</td><td align="center" valign="top" rowspan="1" colspan="1">276</td><td align="center" valign="top" rowspan="1" colspan="1">256</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">North East<xref rid="TFN8" ref-type="table-fn">*</xref></td><td align="right" valign="top" rowspan="1" colspan="1">North East</td><td align="right" valign="top" rowspan="1" colspan="1">614</td><td align="right" valign="top" rowspan="1" colspan="1">1170</td><td align="right" valign="top" rowspan="1" colspan="1">23</td><td align="right" valign="top" rowspan="1" colspan="1">1807</td><td align="center" valign="top" rowspan="1" colspan="1">0.9%</td><td align="right" valign="top" rowspan="1" colspan="1">$19</td><td align="right" valign="top" rowspan="1" colspan="1">$0.3</td><td align="right" valign="top" rowspan="1" colspan="1">$0.4</td><td align="right" valign="top" rowspan="1" colspan="1">43 599</td><td align="center" valign="top" rowspan="1" colspan="1">420</td><td align="center" valign="top" rowspan="1" colspan="1">411</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Gujaret</td><td align="right" valign="top" rowspan="1" colspan="1">West</td><td align="right" valign="top" rowspan="1" colspan="1">2419</td><td align="right" valign="top" rowspan="1" colspan="1">3793</td><td align="right" valign="top" rowspan="1" colspan="1">94</td><td align="right" valign="top" rowspan="1" colspan="1">6305</td><td align="center" valign="top" rowspan="1" colspan="1">0.6%</td><td align="right" valign="top" rowspan="1" colspan="1">$83</td><td align="right" valign="top" rowspan="1" colspan="1">$1.1</td><td align="right" valign="top" rowspan="1" colspan="1">$7.0</td><td align="right" valign="top" rowspan="1" colspan="1">161 467</td><td align="center" valign="top" rowspan="1" colspan="1">506</td><td align="center" valign="top" rowspan="1" colspan="1">463</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Maharashtra</td><td align="right" valign="top" rowspan="1" colspan="1">West</td><td align="right" valign="top" rowspan="1" colspan="1">6073</td><td align="right" valign="top" rowspan="1" colspan="1">7993</td><td align="right" valign="top" rowspan="1" colspan="1">233</td><td align="right" valign="top" rowspan="1" colspan="1">14 299</td><td align="center" valign="top" rowspan="1" colspan="1">1.0%</td><td align="right" valign="top" rowspan="1" colspan="1">$204</td><td align="right" valign="top" rowspan="1" colspan="1">$4.6</td><td align="right" valign="top" rowspan="1" colspan="1">$22.2</td><td align="right" valign="top" rowspan="1" colspan="1">374 003</td><td align="center" valign="top" rowspan="1" colspan="1">533</td><td align="center" valign="top" rowspan="1" colspan="1">474</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Andhra Pradesh</td><td align="right" valign="top" rowspan="1" colspan="1">South</td><td align="right" valign="top" rowspan="1" colspan="1">6019</td><td align="right" valign="top" rowspan="1" colspan="1">7979</td><td align="right" valign="top" rowspan="1" colspan="1">188</td><td align="right" valign="top" rowspan="1" colspan="1">14 186</td><td align="center" valign="top" rowspan="1" colspan="1">1.0%</td><td align="right" valign="top" rowspan="1" colspan="1">$147</td><td align="right" valign="top" rowspan="1" colspan="1">$2.2</td><td align="right" valign="top" rowspan="1" colspan="1">$7.7</td><td align="right" valign="top" rowspan="1" colspan="1">351 765</td><td align="center" valign="top" rowspan="1" colspan="1">411</td><td align="center" valign="top" rowspan="1" colspan="1">389</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Karnataka</td><td align="right" valign="top" rowspan="1" colspan="1">South</td><td align="right" valign="top" rowspan="1" colspan="1">3645</td><td align="right" valign="top" rowspan="1" colspan="1">4636</td><td align="right" valign="top" rowspan="1" colspan="1">127</td><td align="right" valign="top" rowspan="1" colspan="1">8408</td><td align="center" valign="top" rowspan="1" colspan="1">0.9%</td><td align="right" valign="top" rowspan="1" colspan="1">$104</td><td align="right" valign="top" rowspan="1" colspan="1">$1.7</td><td align="right" valign="top" rowspan="1" colspan="1">$7.1</td><td align="right" valign="top" rowspan="1" colspan="1">216 132</td><td align="center" valign="top" rowspan="1" colspan="1">474</td><td align="center" valign="top" rowspan="1" colspan="1">441</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Kerala</td><td align="right" valign="top" rowspan="1" colspan="1">South</td><td align="right" valign="top" rowspan="1" colspan="1">662</td><td align="right" valign="top" rowspan="1" colspan="1">1403</td><td align="right" valign="top" rowspan="1" colspan="1">58</td><td align="right" valign="top" rowspan="1" colspan="1">2123</td><td align="center" valign="top" rowspan="1" colspan="1">2.0%</td><td align="right" valign="top" rowspan="1" colspan="1">$51</td><td align="right" valign="top" rowspan="1" colspan="1">$1.3</td><td align="right" valign="top" rowspan="1" colspan="1">$3.2</td><td align="right" valign="top" rowspan="1" colspan="1">64 781</td><td align="center" valign="top" rowspan="1" colspan="1">775</td><td align="center" valign="top" rowspan="1" colspan="1">725</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Tamil Nadu</td><td align="right" valign="top" rowspan="1" colspan="1">South</td><td align="right" valign="top" rowspan="1" colspan="1">2266</td><td align="right" valign="top" rowspan="1" colspan="1">3490</td><td align="right" valign="top" rowspan="1" colspan="1">107</td><td align="right" valign="top" rowspan="1" colspan="1">5863</td><td align="center" valign="top" rowspan="1" colspan="1">0.8%</td><td align="right" valign="top" rowspan="1" colspan="1">$90</td><td align="right" valign="top" rowspan="1" colspan="1">$3.1</td><td align="right" valign="top" rowspan="1" colspan="1">$4.4</td><td align="right" valign="top" rowspan="1" colspan="1">156 945</td><td align="center" valign="top" rowspan="1" colspan="1">555</td><td align="center" valign="top" rowspan="1" colspan="1">526</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">India</td><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1">127 869</td><td align="right" valign="top" rowspan="1" colspan="1">77 840</td><td align="right" valign="top" rowspan="1" colspan="1">2150</td><td align="right" valign="top" rowspan="1" colspan="1">207 859</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1">$2006</td><td align="right" valign="top" rowspan="1" colspan="1">$70</td><td align="right" valign="top" rowspan="1" colspan="1">$240</td><td align="right" valign="top" rowspan="1" colspan="1">5 125 128</td><td align="center" valign="top" rowspan="1" colspan="1">378</td><td align="center" valign="top" rowspan="1" colspan="1">331</td></tr></tbody></table><table-wrap-foot><fn id="TFN8"><label>*</label><p>The North East region includes Sikkim, Arunachal Pradesh, Nagaland, Manipur, Mizoram, Tripura, Meghalaya, and Assam.</p></fn></table-wrap-foot></table-wrap><table-wrap id="T5" position="float" orientation="landscape"><label>Table V</label><caption><p>Vaccine and syringe costs of the schedule<xref rid="TFN10" ref-type="table-fn">*</xref> with and without Hib conjugate vaccine (2010 US$)</p></caption><table frame="box" rules="groups"><thead><tr><th valign="top" align="left" rowspan="1" colspan="1"/><th valign="top" align="center" rowspan="1" colspan="1">Doses in schedule</th><th valign="top" align="center" rowspan="1" colspan="1">Costs per dose<xref rid="TFN11" ref-type="table-fn">&#x02020;</xref></th><th valign="top" align="center" rowspan="1" colspan="1">Vaccine costs</th><th valign="top" align="center" rowspan="1" colspan="1">Injection supply costs</th><th valign="top" align="center" rowspan="1" colspan="1">Total</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Bacille Calmette Guerin</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="center" valign="top" rowspan="1" colspan="1">0.04</td><td align="center" valign="top" rowspan="1" colspan="1">2 565 849</td><td align="center" valign="top" rowspan="1" colspan="1">2 137 351</td><td align="center" valign="top" rowspan="1" colspan="1">4 703 199</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">DTP</td><td align="center" valign="top" rowspan="1" colspan="1">3</td><td align="center" valign="top" rowspan="1" colspan="1">0.04</td><td align="center" valign="top" rowspan="1" colspan="1">2 977 936</td><td align="center" valign="top" rowspan="1" colspan="1">3 594 400</td><td align="center" valign="top" rowspan="1" colspan="1">6 572 336</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Hepatitis B</td><td align="center" valign="top" rowspan="1" colspan="1">3</td><td align="center" valign="top" rowspan="1" colspan="1">0.11</td><td align="center" valign="top" rowspan="1" colspan="1">9 854 186</td><td align="center" valign="top" rowspan="1" colspan="1">3 594 400</td><td align="center" valign="top" rowspan="1" colspan="1">13 448 586</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Measles</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="center" valign="top" rowspan="1" colspan="1">0.20</td><td align="center" valign="top" rowspan="1" colspan="1">7 603 174</td><td align="center" valign="top" rowspan="1" colspan="1">1 467 332</td><td align="center" valign="top" rowspan="1" colspan="1">9 070 505</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Polio</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">0.08</td><td align="center" valign="top" rowspan="1" colspan="1">8 272 044</td><td align="center" valign="top" rowspan="1" colspan="1">-</td><td align="center" valign="top" rowspan="1" colspan="1">8 272 044</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Total without Hib vaccine</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">31 273 189</td><td align="center" valign="top" rowspan="1" colspan="1">10 793 483</td><td align="center" valign="top" rowspan="1" colspan="1">42 066 671</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Costs per child without Hib vaccine</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">1.63</td><td align="center" valign="top" rowspan="1" colspan="1">0.56</td><td align="center" valign="top" rowspan="1" colspan="1">2.19</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">DTP-hepatitis B-Hib vaccine</td><td align="center" valign="top" rowspan="1" colspan="1">3</td><td align="center" valign="top" rowspan="1" colspan="1">1.82</td><td align="center" valign="top" rowspan="1" colspan="1">143 600 101</td><td align="center" valign="top" rowspan="1" colspan="1">3 594 400</td><td align="center" valign="top" rowspan="1" colspan="1">147 194 502</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Total with Hib vaccine</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">162 041 168</td><td align="center" valign="top" rowspan="1" colspan="1">7 199 083</td><td align="center" valign="top" rowspan="1" colspan="1">169 240 250</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Costs per child with Hib vaccine</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">8.44</td><td align="center" valign="top" rowspan="1" colspan="1">0.37</td><td align="center" valign="top" rowspan="1" colspan="1">8.81</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Annual incremental cost</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">130 767 979</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;3 594 400</td><td align="center" valign="top" rowspan="1" colspan="1">127 173 579</td></tr></tbody></table><table-wrap-foot><fn id="TFN9"><p>Price per injection syringe was US$0.06. Price per safety box with capacity of 100 used syringes was US$1.50. Vaccine wastage rates were 61% for Bacille Calmette Guerin, 27% for DTP and pentavalent vaccine, 33% for hepatitis B vaccine, 35% for measles and 47% for polio.<sup><xref rid="R58" ref-type="bibr">58</xref></sup></p></fn><fn id="TFN10"><label>*</label><p>The routine schedule includes booster doses for DTP, polio, and measles at the age of 16&#x02013;24 mo, but these costs are not included.</p></fn><fn id="TFN11"><label>&#x02020;</label><p>4% tax is added to the price per dose.</p></fn></table-wrap-foot></table-wrap></floats-group></article>