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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">101296348</journal-id><journal-id journal-id-type="pubmed-jr-id">39939</journal-id><journal-id journal-id-type="nlm-ta">ISBT Sci Ser</journal-id><journal-id journal-id-type="iso-abbrev">ISBT Sci Ser</journal-id><journal-title-group><journal-title>ISBT science series</journal-title></journal-title-group><issn pub-type="ppub">1751-2816</issn><issn pub-type="epub">1751-2824</issn></journal-meta><article-meta><article-id pub-id-type="pmid">30613210</article-id><article-id pub-id-type="pmc">6314038</article-id><article-id pub-id-type="doi">10.1111/voxs.12427</article-id><article-id pub-id-type="manuscript">HHSPA999594</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Trends in hepatitis B and hepatitis C seroprevalence among blood
donors &#x02013; Haiti, 2005&#x02013;2014</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Jean Baptiste</surname><given-names>A. E.</given-names></name><contrib-id contrib-id-type="orcid">http://orcid.org/0000-0003-3240-7406</contrib-id><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Chevalier</surname><given-names>M. S.</given-names></name><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Polo</surname><given-names>E.</given-names></name><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>Noel</surname><given-names>E.</given-names></name><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>Hulland</surname><given-names>E. N.</given-names></name><xref ref-type="aff" rid="A4">4</xref></contrib><contrib contrib-type="author"><name><surname>Archer</surname><given-names>W. R.</given-names></name><xref ref-type="aff" rid="A5">5</xref></contrib></contrib-group><aff id="A1"><label>1</label>Division of Global HIV/AIDS and TB (DGHT), Center for
Global Health (CGH), Centers for Disease Control and Prevention (CDC),
Port-au-Prince, Ha&#x003ca;ti</aff><aff id="A2"><label>2</label>DGHT, CGH, CDC, Atlanta, GA, USA</aff><aff id="A3"><label>3</label>National Blood Safety Program, Ministry of Public Health
and Population, Port-au-Prince, Ha&#x003ca;ti</aff><aff id="A4"><label>4</label>Division of Global Health Protection, CGH, CDC, Atlanta,
GA, USA</aff><aff id="A5"><label>5</label>Global Immunization Division, CGH, CDC, Atlanta, GA,
USA</aff><author-notes><fn fn-type="con" id="FN1"><p id="P1">Authors contribution</p><p id="P2">AEJB and WRA conceived of the study idea. AEJB, WRA, EH and MC
contributed to study design, literature search, data analysis and
interpretation, preparation of figures and tables and writing. AEJB, EN and
EP contributed to data collection.</p></fn><corresp id="CR1"><italic>Correspondence</italic>: W. Roodly Archer, Global
Immunization Division, Centers for Disease Control and Prevention (CDC), Center
for Global Health (CGH), 1600 Clifton Road NE, Mailstop E-04, Atlanta, GA 30333,
USA, <email>rarcher@cdc.gov</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>9</day><month>12</month><year>2018</year></pub-date><pub-date pub-type="epub"><day>22</day><month>3</month><year>2018</year></pub-date><pub-date pub-type="ppub"><month>5</month><year>2018</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>5</month><year>2019</year></pub-date><volume>13</volume><issue>2</issue><fpage>150</fpage><lpage>157</lpage><!--elocation-id from pubmed: 10.1111/voxs.12427--><abstract id="ABS1"><sec id="S1"><title>Background and Objectives</title><p id="P3">Data on the seroprevalence of viral hepatitis are limited in Haiti;
consequently, the epidemiology is poorly described. This study aims to
provide a descriptive analysis of hepatitis B virus (HBV) and hepatitis C
virus (HCV) seroprevalence of blood donations in Haiti.</p></sec><sec id="S2"><title>Materials and Methods</title><p id="P4">Using Haiti&#x02019;s National Blood Safety Program and Haitian Red
Cross reports from 2005 to 2014, we analysed the results of screening tests
of donor serum samples to assess HBV and HCV seroprevalence among adults
aged 17 to 65 years.</p></sec><sec id="S3"><title>Results</title><p id="P5">A total of 198 758 donor samples were screened from 2005 to 2014, of
which 0&#x000b7;56% were positive for antibody to hepatitis C virus
(anti-HCV) and 3&#x000b7;80% were positive for hepatitis B surface antigen.
Over the 10-year study period, anti-HCV seroprevalence among blood donors
increased by 31% from 0.66% to 0.86% (95% CI:
1&#x000b7;01&#x02013;1&#x000b7;70); however, this trend was not uniform over
time, with a significant decrease from 0&#x000b7;66% in 2005 to 0&#x000b7;39%
in 2009 (95% CI: 0&#x000b7;43&#x02013; 0&#x000b7;82) and 0&#x000b7;43% in 2012
(95% CI: 0&#x000b7;50&#x02013;0&#x000b7;90). Conversely, HBV decreased
significantly by 13% from 3&#x000b7;95% in 2005 to 3&#x000b7;42% in 2014 (95%
CI: 0&#x000b7;77&#x02013;0&#x000b7;97), a trend that was also observed in 2012
and 2013.</p></sec><sec id="S4"><title>Conclusion</title><p id="P6">The significant, uniform decrease in HBV seroprevalence in more
recent years may represent the positive impact of public health
interventions in preventing the transmission of blood-borne infections. More
research is needed to understand why the trends in HCV transmission are
non-uniform and to investigate the significant increase in more recent
years.</p></sec></abstract><kwd-group><kwd>donors</kwd><kwd>epidemiology</kwd><kwd>Haiti</kwd><kwd>transfusion&#x02013;transmissible infections</kwd></kwd-group></article-meta></front><body><sec id="S5"><title>Introduction</title><p id="P7">Transfusion-transmissible infections (TTI), including human immunodeficiency
virus (HIV-1 and HIV-2), hepatitis B virus (HBV), and hepatitis C virus (HCV), occur
when a bacterium, parasite, virus, or other potential pathogens are transmitted to
the transfusion recipient through donated blood products [<xref rid="R1" ref-type="bibr">1</xref>]. Transmission of HIV, HBV, and HCV through blood
transfusion may approach 100%, consequently, this mode poses the greatest risk to
the recipient as compared to other more common routes of exposure such as sexual
contact (0&#x000b7;1&#x02013;10%) and mother-child transmission (11&#x02013;32%) [<xref rid="R2" ref-type="bibr">2</xref>]. In addition, the financial burden of
collecting blood products found to be infected with a TTI to national blood services
is also substantial. In 2005, it was estimated that around 240 000 units of blood
with evidence of infectious disease markers (i.e. HIV, hepatitis B and C viruses and
syphilis) were discarded in Latin America and the Caribbean, which represented a
total loss of $13 4 million USD to the region [<xref rid="R2" ref-type="bibr">2</xref>].</p><p id="P8">Since 2004, Haiti&#x02019;s National Blood Safety Program (NBSP) has received
technical and financial support from the U.S. Centers for Disease Control and
Prevention (CDC) under the U.S. President&#x02019;s Emergency Plan for AIDS Relief
(PEPFAR) to increase the safety and adequacy of blood collections. Under this
collaboration, NBSP and its main partner, the Haitian Red Cross (HRC), routinely
perform screening tests for HIV-1/HIV-2, HBV, HCV, syphilis, and human
T-lymphotropic viruses (HTLV-1, and HTLV-2) on blood donations to prevent
transfusion-transmission.</p><p id="P9">Data on the seroprevalence of HBV and HCV virus in the general population of
Haiti are very limited, and, where available, quite dated. A survey by Allain
<italic>et al</italic>. found a low prevalence (0&#x000b7;40&#x02013;1&#x000b7;50%)
of HCV antibodies among a sample of three categories of patients seeking care
&#x02013; 500 pregnant women, 228 consecutive surgical patients and 1727 patients
presenting with symptoms suggesting HIV disease in rural Haiti [<xref rid="R3" ref-type="bibr">3</xref>]. Alternatively, a 2015 systematic review and
meta-analysis that utilised Hepatitis B surface antigen (HBsAg) as a serological
marker for chronic HBV infection found that the pooled prevalence &#x02013; the
prevalence aggregated from multiple studies using statistical techniques- of HBV in
Haiti ranged between 9&#x000b7;00 and 19&#x000b7;89% for the two papers included in
the systematic review with dates between 1989 and 1992. This pooled seroprevalence
was considerably higher than the global prevalence rate of HBV at 3&#x000b7;61% and
the highest documented prevalence of HBV in the Caribbean regions and the Americas
[<xref rid="R4" ref-type="bibr">4</xref>]. A high prevalence of TTIs, such as
HBV and HCV, among the general population may impact the blood donors&#x02019; base
(i.e. potential blood donors and blood donors&#x02019; population) and increase blood
units wasted due to TTI reactivity.</p><p id="P10">Because of the significant clinical impact of HBV and HCV in patients,
understanding the epidemiologic characteristics of these viruses in blood donors
would provide the NBSP and Haiti&#x02019;s Ministry of Health (MSPP) with important
trend information on both viruses and would help to assess the need for
interventions (e.g. nosocomial risk prevention, health education among population,
vaccination). The objective of this evaluation is to assess and descriptively
analyse NBSP and HRC data on the seroprevalence of HBV and HCV among blood donors
over a period of 10-years (2005&#x02013;2014), as a means of determining geographic
differences and trends in viral transmission and prevalence, and guiding subsequent
research.</p></sec><sec id="S6"><title>Materials and Methods</title><sec id="S7"><title>Blood Donor Serum Sample</title><p id="P11">The number of active blood collection and distribution sites ranged from
four in 2005 to 35 in 2014 (15 blood transfusion posts, 20 blood depots). A
careful look at <xref rid="F1" ref-type="fig">Fig. 1</xref> shows the geographic
distribution of different blood centres all over the country and reveals that
there are some areas with more condensed facilities, mainly around
Port-au-Prince, and others with less dense distribution of facilities, which is
reflective of population density. The 10 administrative departments were
aggregated into four regional groupings based on the number of collection and
distribution sites and were assigned as follows: northern (Nord-Ouest, Nord, and
Nord-Est departments), central (Artibonite and Centre departments),
Port-au-Prince (Ouest and Nippes departments) and southern (Grand&#x02019;Anse,
Sud, and Sud-Est departments).</p><p id="P12">The National Blood Transfusion Center (NBTC) is responsible for
screening blood donations from all regions of the country. Once collected, the
blood samples were regularly delivered from the blood collection sites or blood
posts to NBTC either by plane or ground transportation in order to maintain a
safe and adequate national blood supply. All donor (volunteer and replacement
donors) serum samples were screened according to minimal international standards
(i.e. initial screening test, repeat reactive tests, confirmatory testing)
[<xref rid="R5" ref-type="bibr">5</xref>] at the NBTC in Port-au-Prince for
HBV and HCV during the study period. HBsAg is used as a serological marker for
acute and chronic HBV infection and was screened using a semi-automated
enzyme-linked-immunosorbent serologic assay technique (ELISA &#x02013;
<italic>Tecan Sunrise</italic>) with reported sensitivity and specificity of
100% each [<xref rid="R5" ref-type="bibr">5</xref>]. HCV was screened using the
same method from 2005 to 2014. For quality control, 100% of positive samples and
20% of negative samples were sent to a reference laboratory in Haiti in order to
get a more precise diagnosis and reduce risk associated with blood transfusion.
Murex EIA (Enzyme Immunoassay) is the assay used for screening. In 2014,
implementation of an automated chemiluminescent micro particle immunoassay
(<italic>Architect</italic> PLCs) offered the opportunity to go on by
confirming all specimens with a positive marker. Discordant cases were
reconciled and were generally found to be related to transcription errors of
assay data (e.g. data entry errors) or improper sample handling. All HBV
&#x02013; and/or HCV &#x02013; reactive blood donors were permanently excluded
from the national blood supply.</p></sec><sec id="S8"><title>Data Source</title><p id="P13">Data for this study were reported to the NBSP via surveillance records
from the Haitian Red Cross. These data represent all blood units (blood
donations) screened from blood donors aged 17 to 65 between 1 January 2005 and
31 December 2014. Data were provided as aggregate counts of donations screening
positive for HBV and HCV between 2010 and 2014 and total blood donations; for
2005&#x02013;2009, the only available data were annual HBV and HCV seroprevalence
percentages; we, therefore, estimated the annual donations based on the
seroprevalence of HBV and HCV and the total blood donations.</p></sec><sec id="S9"><title>Statistical analyses</title><p id="P14">Data were analysed using Cox proportional hazards models using SAS
software version 9&#x000b7;3 (SAS Institute Inc., Cary, NC, USA). Overall
seroprevalence of HBsAg and HCV from 2005 to 2014 were computed as total number
of blood donations positive for HBsAg and HCV, respectively, divided by the
total number blood donations (blood donation serum samples assessed) during the
same period; individual-level data were not available and did not allow for
controlling for repeat donors. Annual seroprevalence of HBsAg and HCV were also
calculated for each year between 2010 and 2014 and were stratified by
administrative department and region. Changes in annual seroprevalence of HBsAg
and HCV from 2005 to 2014, using 2005 as a reference group, were assessed via
prevalence ratios (PR), calculated via Cox proportional hazards models with
equal time to follow-up (time=1) for all observations. Since data were provided
as aggregate counts, line list data were simulated in SAS in order to obtain
prevalence ratios and corresponding confidence intervals. Cox proportional
hazards models were chosen based on previous literature suggesting alternatives
to logistic regression in order to ease interpretation of results via prevalence
ratios versus convoluted odds ratios and to address overestimation of odds
ratios in less-rare outcomes. Both logistic regression models and generalised
additive Poisson regression models were considered for analysis and all provided
concurrent estimates when compared to those obtained via Cox proportional
hazards modelling [<xref rid="R6" ref-type="bibr">6</xref>, <xref rid="R8" ref-type="bibr">8</xref>]. Region-specific changes were assessed using Cox
proportional hazards models between the years of 2010 and 2014; donation
information by region was not available prior to 2010.</p><p id="P15">This activity was reviewed in accordance with CDC human subjects review
procedures and was determined by CGH Office of the Associate Director for
Science as non-research.</p></sec></sec><sec id="S10"><title>Results</title><p id="P16">A total of 198 758 blood donations were screened at the NBTC during the
10-year study period, of which 3&#x000b7;80% were positive for HBV and 0&#x000b7;56%
for HCV. The number of units of blood collected increased from 10 823 units in 2005
to 28 867 units in 2014. HBV infections accounted for approximately one-third to
one-half (range: 37&#x02013;46%) of all TTI infections annually over the study period
and remained more prevalent than HCV (<xref rid="F2" ref-type="fig">Fig.
2</xref>).</p><p id="P17">Cox proportional hazards models demonstrated a significant 31% increase in
seroprevalence of HCV between 2005 and 2014 (95% CI: 1&#x000b7;01&#x02013;1&#x000b7;70)
and similarly, a 57% increase between 2005 and 2013 (95% CI:
1&#x000b7;21&#x02013;2&#x000b7;04). However, this trend was not uniform over time:
there was a significant 40% decrease in seroprevalence of HCV between 2005 and 2009
(95% CI: 0&#x000b7;43&#x02013;0&#x000b7;82) and similarly a 33% decrease in
seroprevalence between 2005 and 2012 (95% CI: 0&#x000b7;50&#x02013;0&#x000b7;90) (<xref rid="T1" ref-type="table">Table 1</xref>). In contrast, there was a significant
decrease in HBV seroprevalence between 2005 and 2014 (PR: 0&#x000b7;87, 95% CI:
0&#x000b7;77&#x02013;0&#x000b7;97). This trend was more uniform than that seen for HCV:
there was also a significant decrease in HBV between 2005 and 2013 (PR: 0&#x000b7;89,
95% CI: 0&#x000b7;80&#x02013;1&#x000b7;00*) and between 2005 and 2012 (PR: 0&#x000b7;89,
95% CI: 0&#x000b7;79&#x02013;0&#x000b7;99), suggesting a consistently downward trend in
more current years.</p><p id="P18"><xref rid="F3" ref-type="fig">Figure 3</xref> shows the geographic
distribution of HBV and HCV median seroprevalence rates over the 10 years by
administrative departments (<italic>n</italic> = 10). Regional data presented in
<xref rid="T2" ref-type="table">Table 2</xref> demonstrate that the
seroprevalence of HBV remained variable across the regions and the years, most
notably in the southern region where HBV seroprevalence ranged from 2&#x000b7;58% in
2010 to 5&#x000b7;07% in 2011, a nearly twofold increase in seroprevalence (PR:
1&#x000b7;97, 95% CI: 1&#x000b7;50&#x02013;2&#x000b7;59). HBV seroprevalence was more
consistent across the Port-au-Prince region (range: 2&#x000b7;92&#x02013;
3&#x000b7;49%) with no significant differences from 2010, the reference year. In the
central region and northern region, HBV seroprevalence was generally more
consistent, though both years experienced significant decreases in seroprevalence
from 2010: there was a significant 21% decrease in seroprevalence in 2011 in the
northern region (2011 PR 0&#x000b7;79; 95% CI: 0&#x000b7;64&#x02013;0&#x000b7;99) and a
significant 28% decrease in seroprevalence in 2012 in the central region (2012 PR:
0&#x000b7;72; 95% CI: 0&#x000b7;59&#x02013;0&#x000b7;89). HCV seroprevalence, although
much lower than HBV seroprevalence, was similarly variable, with seroprevalence in
the Port-au-Prince region being the most variable (range: 0&#x000b7;45% to
1&#x000b7;18%). Cox proportional hazards models demonstrated significant increases in
HCV among blood donors between 2010 and 2013 for the Port-au-Prince, northern and
central regions (PRs: 2&#x000b7;27, 1&#x000b7;77, and 1&#x000b7;82, respectively) and
between 2010 and 2014 for the Port-au-Prince region and the northern region (PRs:
1&#x000b7;75 and 1&#x000b7;69, respectively). There was no statistically significant
difference in HCV observed in the southern region when using 2010 as a
reference.</p></sec><sec id="S11"><title>Discussion</title><p id="P19">This assessment provides descriptive epidemiology of HBV and HCV
seroprevalence among blood donors in Haiti from 2005 to 2014. The analysis included
the 2010 earthquake period that had an immediate and severe impact on Haiti&#x02019;s
health system. Both HBV and HCV seroprevalence decreased significantly since the
years following the earthquake; however, for HCV this downward trend was contrasted
with a significant increase in seroprevalence starting in 2013. Although these
trends were generally observed in the four regions, there were variations in
seroprevalence across all four regions over the five-year period, suggesting that
seroprevalence of TTIs may vary.</p><p id="P20">According to the HRC, the seroprevalence of HBV among blood donors prior to
PEPFAR/CDC support and implementation of the NBSP was 4&#x000b7;36% in 2003 and
4&#x000b7;12% in 2004; similarly, HCV seroprevalence was 0&#x000b7;42% in 2003 and
0&#x000b7;62% in 2004. At the implementation of the NBSP in 2005, among blood donors,
HBsAg seroprevalence was 3&#x000b7;95% and HCV seroprevalence was 0&#x000b7;66%. Based
on a 2014 seroprevalence of HBV of 3&#x000b7;42%, Haiti is considered a country with
an intermediate endemicity according to WHO classification of Hepatitis B virus
endemicity [<xref rid="R9" ref-type="bibr">9</xref>]. A similar conclusion was drawn
in a recent HBV serosurvey conducted among pregnant women in Haiti which reported a
2&#x000b7;5% seroprevalence [<xref rid="R10" ref-type="bibr">10</xref>].</p><p id="P21">Routes of transmission for HBV and HCV, similar to those for HIV, are either
vertical (from infected pregnant mother to her baby), sexual, or parenteral [<xref rid="R11" ref-type="bibr">11</xref>]. Further-more, several studies have
assessed donor compliance with relevant risk factors [<xref rid="R12" ref-type="bibr">12</xref>, <xref rid="R13" ref-type="bibr">13</xref>]. Although
the seroprevalence of HBV among blood donors continued to be the highest among all
TTIs, HBV seroprevalence experienced a significant 13 4% decrease over the 10-year
study period. Although not measured in this study, one possible explanation for the
decrease in HBV seroprevalence may be the positive impact of public health
interventions in preventing the transmission of blood-borne infections in Haiti.
Specifically, in the period covered by this study, multiple programmes and
interventions focusing on improving knowledge of HIV risk factors, safe sexual
practices and access to condoms were conducted in order to reduce HIV/ AIDS
seroprevalence in Haiti [<xref rid="R14" ref-type="bibr">14</xref>&#x02013;<xref rid="R16" ref-type="bibr">16</xref>].</p><p id="P22">Despite Haiti&#x02019;s low endemicity for chronic HCV, this study
demonstrates that the seroprevalence of HCV infection has increased significantly
among blood donors in the past ten years. Studies have shown that injection drug use
is the most common risk factor for acute hepatitis C [<xref rid="R11" ref-type="bibr">11</xref>]. Consequently, several countries require persons who
report risky behaviours related to injection drug use to defer from blood donation.
Persons who have had a tattoo or body piercing within the past 6 months are also
deferred from blood donation. Although Haiti has such regulations, if the blood
donor does not disclose such risky behaviours, there is no way to confirm when or if
the tattoo or body piercing occurred. Furthermore, donors may not necessarily report
risky behaviours related to injection drug use.</p><p id="P23">This significant increase in HCV seroprevalence may also indicate possible
health care-associated infections or unsafe injection practices. Historically,
medical care has played an important role in the transmission of HCV infection in
addition to the transfusion of blood and blood products, which remained the most
likely route of health care-associated transmission globally [<xref rid="R17" ref-type="bibr">17</xref>]. It is also known that HCV transmission per exposure
to a contaminated syringe is 5- to 20-fold higher than HIV transmission, and that
hepatitis C Virus in the presence of serum can survive for 5-days at room
temperature, and detected up to 63-days in syringes [<xref rid="R8" ref-type="bibr">8</xref>]. The CDC recently investigated a case of acute HCV infection in a
repeat blood donor in California, USA that had no traditional risk factors for HCV;
the investigation revealed that the donor had likely been exposed to HCV through an
injection received at a clinic in which syringes were being re-used. Four other
persons who underwent procedures at the clinic on the same day were also
subsequently identified to have HCV infection. Multiple other health care-associated
outbreaks of HCV infection resulting from unsafe injection practices have been
documented by CDC during 2008&#x02013;2015 [<xref rid="R18" ref-type="bibr">18</xref>]. On the other hand, the largest increase in HCV observed in this study,
a 127% increase from 0&#x000b7;52% to 1&#x000b7;18%, was in the Port-au-Prince region
between 2010 and 2013, in the years following Haiti&#x02019;s devastating 2010
earthquake. This earthquake resulted in more than 220 000 deaths, over 300 000
injured and left well over a million displaced making it one of the deadliest
natural disasters on record [<xref rid="R12" ref-type="bibr">12</xref>]. In the
aftermath of a natural disaster, persons who were involved in close contact with the
dead may have been exposed to chronic infectious hazards and blood-borne viruses,
including HIV, HBC and HCV [<xref rid="R19" ref-type="bibr">19</xref>]. While it is
possible that such cases occurred, disruptions in health care delivery in 2010 and
increase in blood donations (and/or first-time donors) might also account for the
significant increase in the overall prevalence rates for HCV among all donations
collected after the earthquake.</p><p id="P24">This study is subject to some limitations. First, there were some data
missing at the initial stage of the implementation of NBSP, in 2005, and data were
unable to be broken down by region. CDC supported Haiti&#x02019;s Ministry of Health
for strengthening the NBSP data collection and management system to allow more
efficient tracking and reporting of data on the blood donor population. Secondly,
all data were provided as aggregate case counts (or overall prevalence for
2005&#x02013;2009) and thus there was no way to determine whether the donations were
all from individual donors or whether a single donor provided multiple units in the
same calendar year. This has the potential to bias the results, particularly towards
lower seroprevalences if healthy donors are more likely donate frequently, as has
been observed in previous research where incidence of TTIs was three times higher
among first-time donors than among repeat donors and was lower among repeat donors
than among the general population of donors [<xref rid="R7" ref-type="bibr">7</xref>]. Similarly, the aggregated data did not include information on the
demographic (e.g. race/ ethnicity, gender, and age) of the blood donors. Fourth, a
number of blood bags from international donors, prescreened for HBV, HCV and other
markers, were received by the HRC during the first months (January &#x02013; March)
of 2010 in response to the earthquake, and therefore some of the donations, and
resulting seroprevalence, may be influenced by these external donations. Fifth, the
aggregate nature of the data does not allow for tracking over time, and thus there
is an inability to assess cause of the observed trends. Our final limitation is that
results cannot be generalised to the general Haitian population as our sample was
limited to blood donors between the ages of 17 and 65 years, a population whose
disease seroprevalence profile differs from that of the general population.</p><p id="P25">Viral hepatitis (VH) exists throughout the world and is a major global
health problem affecting 400 million people worldwide (over ten times the number of
people affected with HIV). The World Health Organization (WHO) has called for the
global elimination of VH by 2030; essentially underlining the necessity for the
provision of safe blood to protect against the transmission of hepatitis B and C
[<xref rid="R20" ref-type="bibr">20</xref>]. While a related analysis has
already been implemented in 38 sub-Saharan Africa countries [<xref rid="R21" ref-type="bibr">21</xref>], this is the first study to evaluate the
seroprevalence of HBV an HCV among Haitian blood donors over a ten-year period.</p><p id="P26">Despite the fact that the blood donor population is not a representative
sample of the Haitian population, in order to assess the magnitude of this disease
(not only in the blood donor population but also in the general population), the
findings of this investigation offer additional information on the burden of HBV and
HCV infection in the country. Additional epidemiological information on the
seroprevalence of VH infection in Haiti is needed to assess the cause of the trends
observed during this study in order to develop targeted interventions to prevent and
control VH infection.</p></sec></body><back><ack id="S12"><title>Acknowledgements</title><p id="P27">We gratefully acknowledge the staff at the Haitian Red Cross and
Haiti&#x02019;s National Blood Safety Program for their contributions upon which this
report is based.</p><p id="P28">We would like to thank Amber Dismer and Nicole Dear for their valuable
technical expertise and assistance on the geographic information system &#x02013; GIS
data and maps development. We would also like to thank Micholson Michel of the
National Blood Safety Program for his precious help in gathering data for this
manuscript.</p><p id="P29">Funding</p><p id="P30">This project has been supported by the President&#x02019;s Emegency Plan for
AIDS Relief (PEPFAR) through the Centers for Disease Control and Prevention (CDC)
under the terms of the grant number 1U2GGH000809. The findings and conclusions in
this report are those of the authors and do not necessarily represent the official
position of the funding agencies.</p></ack><fn-group><fn fn-type="COI-statement" id="FN2"><p id="P31">Conflict of interests</p><p id="P32">The authors declare no conflict of interests.</p></fn></fn-group><ref-list><title>References</title><ref id="R1"><label>1.</label><mixed-citation publication-type="web"><collab>Centers for Disease Control and
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<volume>63</volume>:<fpage>613</fpage>&#x02013;<lpage>619</lpage></mixed-citation></ref></ref-list></back><floats-group><fig id="F1" orientation="portrait" position="float"><label>Fig. 1</label><caption><p id="P33">Haiti&#x02019;s National Blood Service Network per type, 2014.
Haiti&#x02019;s blood network consists of three levels of facilities. The Blood
Transfusion Posts &#x02013; PTS are intermediate structures, extra or
intra-hospital structure, performing blood collections. They prepare, store and
distribute blood bags that are qualified by the National Blood Transfusion
Centre &#x02013; NBTC. The Blood Depots-DDS are hosted by hospital laboratories
and are responsible for the storage and distribution of blood. The country has a
wide distribution of blood centres and is based on the actual needs for blood,
logistics and infrastructure.</p></caption><graphic xlink:href="nihms-999594-f0001"/></fig><fig id="F2" orientation="portrait" position="float"><label>Fig. 2</label><caption><p id="P34">Transfusion-transmissible infection seroprevalence rate over time
&#x02013; Haiti, 2005&#x02013;2014. Seroprevalence trends are represented for
HBsAg, HCV and for the total transfusion-transmissible infection (TTI). The
seroprevalence of each TTI was calculated as the total number of marker-reactive
donations for a period divided by the total number of blood units collected in
the same period. HBsAg, Hepatitis B surface antigen; HCV, Hepatitis C virus;
TTI, Transfusion-transmitted infection including HCV, HBsAg, HIV, Syphilis, and
HTLV.</p></caption><graphic xlink:href="nihms-999594-f0002"/></fig><fig id="F3" orientation="portrait" position="float"><label>Fig. 3</label><caption><p id="P35">Geographic distribution of median reported seroprevalence of HBsAg and
HCV-reactive on blood donations &#x02013; Haiti, between 2010 and 2014.
Administrative department and region seroprevalence of HBsAg and HCV from 2010
to 2014 were computed as total number of blood donations positive for HBsAg and
HCV for each region, respectively, divided by the total number blood donations
for the region. The highest median reported seroprevalence of HBsAg from 2010 to
2014 was in the North regions (North and North-West department), followed by the
Artibonite region. The North and Artibonite regions had also the greater
seroprevalence of HCV from 2010 to 2014 study period. HCV, Hepatitis C virus;
HBsAg, Hepatitis B surface antigen.</p></caption><graphic xlink:href="nihms-999594-f0003"/></fig><table-wrap id="T1" position="float" orientation="portrait"><label>Table 1</label><caption><p id="P36">HBV and HCV seroprevalence among blood donors using Cox proportional
hazards modelling &#x02013; Haiti, 2005 through 2014</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="bottom" rowspan="1" colspan="1"/><th colspan="2" align="left" valign="middle" rowspan="1">HBsAg<hr/></th><th colspan="2" align="left" valign="middle" rowspan="1">HCV<hr/></th></tr><tr><th align="left" valign="middle" rowspan="1" colspan="1">Year</th><th align="left" valign="middle" rowspan="1" colspan="1">PR</th><th align="left" valign="middle" rowspan="1" colspan="1">95% CI</th><th align="left" valign="middle" rowspan="1" colspan="1">PR</th><th align="left" valign="middle" rowspan="1" colspan="1">95% CI</th></tr></thead><tbody><tr><td align="left" valign="middle" rowspan="1" colspan="1">2005</td><td align="left" valign="middle" rowspan="1" colspan="1">-</td><td align="left" valign="middle" rowspan="1" colspan="1">-</td><td align="left" valign="middle" rowspan="1" colspan="1">-</td><td align="left" valign="middle" rowspan="1" colspan="1">-</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">2006</td><td align="left" valign="middle" rowspan="1" colspan="1">1&#x000b7;08</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;95&#x02013;1&#x000b7;22</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;84</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;61&#x02013;1&#x000b7;16</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">2007</td><td align="left" valign="middle" rowspan="1" colspan="1">1&#x000b7;01</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;90&#x02013;1&#x000b7;14</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;73</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;53&#x02013;1&#x000b7;01</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">2008</td><td align="left" valign="middle" rowspan="1" colspan="1">1&#x000b7;11</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;99&#x02013;1&#x000b7;24</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;87</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;65&#x02013;1&#x000b7;17</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">2009</td><td align="left" valign="middle" rowspan="1" colspan="1">1&#x000b7;03</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;92&#x02013;1&#x000b7;16</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;60</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;43&#x02013;0&#x000b7;82</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">2010</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;89</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;79&#x02013;1&#x000b7;01</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;81</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;59&#x02013;1&#x000b7;11</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">2011</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;92</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;82&#x02013;1&#x000b7;04</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;89</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;66&#x02013;1&#x000b7;19</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">2012</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;89</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;79&#x02013;0&#x000b7;99</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;67</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;50&#x02013;0&#x000b7;90</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">2013</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;89</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;80&#x02013;1&#x000b7;00<xref rid="TFN4" ref-type="table-fn">*</xref></td><td align="left" valign="middle" rowspan="1" colspan="1">1&#x000b7;57</td><td align="left" valign="middle" rowspan="1" colspan="1">1&#x000b7;21&#x02013;2&#x000b7;04</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">2014</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;87</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x000b7;77&#x02013;0&#x000b7;97</td><td align="left" valign="middle" rowspan="1" colspan="1">1&#x000b7;31</td><td align="left" valign="middle" rowspan="1" colspan="1">1&#x000b7;01&#x02013;1&#x000b7;70</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><p id="P37">HBsAg, hepatitis B surface antigen; HCV, hepatitis C virus; PR,
prevalence ratio; 95% CI, 95% confidence interval.</p></fn><fn id="TFN2"><p id="P38">Bold values indicate statistical significance at the 0&#x000b7;05
level.</p></fn><fn id="TFN3"><p id="P39">Sources: National Blood Safety Program; Haitian Red Cross.</p></fn><fn id="TFN4"><label>*</label><p id="P40">Indicates a value below 1&#x000b7;00 but rounded to two decimal
places.</p></fn></table-wrap-foot></table-wrap><table-wrap id="T2" position="float" orientation="landscape"><label>Table 2</label><caption><p id="P41">Annual and regional seroprevalence of HBsAg and HCV among blood donors
&#x02013; Haiti, 2010&#x02013;2014</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th colspan="2" align="left" valign="middle" rowspan="1">Port-au-Prince<hr/></th><th colspan="2" align="left" valign="middle" rowspan="1">Northern<hr/></th><th colspan="2" align="left" valign="middle" rowspan="1">Central<hr/></th><th colspan="2" align="left" valign="middle" rowspan="1">Southern<hr/></th></tr><tr><th align="left" valign="middle" rowspan="1" colspan="1">Year</th><th align="left" valign="middle" rowspan="1" colspan="1">SP</th><th align="left" valign="middle" rowspan="1" colspan="1">PR (95% CI)</th><th align="left" valign="middle" rowspan="1" colspan="1">SP</th><th align="left" valign="middle" rowspan="1" colspan="1">PR (95% CI)</th><th align="left" valign="middle" rowspan="1" colspan="1">SP</th><th align="left" valign="middle" rowspan="1" colspan="1">PR (95% CI)</th><th align="left" valign="middle" rowspan="1" colspan="1">SP</th><th align="left" valign="middle" rowspan="1" colspan="1">PR (95% CI)</th></tr></thead><tbody><tr><td colspan="9" align="left" valign="top" rowspan="1">HBsAg</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x000a0;2010</td><td align="left" valign="top" rowspan="1" colspan="1">3&#x000b7;05%</td><td align="left" valign="top" rowspan="1" colspan="1">-</td><td align="left" valign="top" rowspan="1" colspan="1">4&#x000b7;01%</td><td align="left" valign="top" rowspan="1" colspan="1">-</td><td align="left" valign="top" rowspan="1" colspan="1">4&#x000b7;27%</td><td align="left" valign="top" rowspan="1" colspan="1">-</td><td align="left" valign="top" rowspan="1" colspan="1">2&#x000b7;58%</td><td align="left" valign="top" rowspan="1" colspan="1">-</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x000a0;2011</td><td align="left" valign="top" rowspan="1" colspan="1">3&#x000b7;05%</td><td align="left" valign="top" rowspan="1" colspan="1">1&#x000b7;00
(0&#x000b7;81&#x02013;1&#x000b7;23)</td><td align="left" valign="top" rowspan="1" colspan="1">3&#x000b7;18%</td><td align="left" valign="top" rowspan="1" colspan="1"><bold>0&#x000b7;79
(0&#x000b7;64&#x02013;0&#x000b7;99)</bold></td><td align="left" valign="top" rowspan="1" colspan="1">4&#x000b7;31%</td><td align="left" valign="top" rowspan="1" colspan="1">1&#x000b7;01(0&#x000b7;81&#x02013;1&#x000b7;25)</td><td align="left" valign="top" rowspan="1" colspan="1">5&#x000b7;07%</td><td align="left" valign="top" rowspan="1" colspan="1"><bold>1&#x000b7;97
(1&#x000b7;50&#x02013;2&#x000b7;59)</bold></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x000a0;2012</td><td align="left" valign="top" rowspan="1" colspan="1">3&#x000b7;49%</td><td align="left" valign="top" rowspan="1" colspan="1">1&#x000b7;14
(0&#x000b7;94&#x02013;1&#x000b7;39)</td><td align="left" valign="top" rowspan="1" colspan="1">4&#x000b7;50%</td><td align="left" valign="top" rowspan="1" colspan="1">1&#x000b7;12
(0&#x000b7;93&#x02013;1&#x000b7;36)</td><td align="left" valign="top" rowspan="1" colspan="1">3&#x000b7;09%</td><td align="left" valign="top" rowspan="1" colspan="1"><bold>0&#x000b7;72
(0&#x000b7;59&#x02013;0&#x000b7;89)</bold></td><td align="left" valign="top" rowspan="1" colspan="1">2&#x000b7;69%</td><td align="left" valign="top" rowspan="1" colspan="1">1&#x000b7;05
(0&#x000b7;77&#x02013;1&#x000b7;41)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x000a0;2013</td><td align="left" valign="top" rowspan="1" colspan="1">3&#x000b7;00%</td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;96
(0&#x000b7;78&#x02013;1&#x000b7;17)</td><td align="left" valign="top" rowspan="1" colspan="1">4&#x000b7;20%</td><td align="left" valign="top" rowspan="1" colspan="1">1&#x000b7;17
(0&#x000b7;97&#x02013;1&#x000b7;41)</td><td align="left" valign="top" rowspan="1" colspan="1">4&#x000b7;16%</td><td align="left" valign="top" rowspan="1" colspan="1">1&#x000b7;07
(0&#x000b7;88&#x02013;1&#x000b7;30)</td><td align="left" valign="top" rowspan="1" colspan="1">2&#x000b7;88%</td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;81
(0&#x000b7;60&#x02013;1&#x000b7;10)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x000a0;2014</td><td align="left" valign="top" rowspan="1" colspan="1">3&#x000b7;00%</td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;86
(0&#x000b7;71&#x02013;1&#x000b7;05)</td><td align="left" valign="top" rowspan="1" colspan="1">4&#x000b7;20%</td><td align="left" valign="top" rowspan="1" colspan="1">1&#x000b7;07
(0&#x000b7;88&#x02013;1&#x000b7;30)</td><td align="left" valign="top" rowspan="1" colspan="1">4&#x000b7;16%</td><td align="left" valign="top" rowspan="1" colspan="1">1&#x000b7;10
(0&#x000b7;91&#x02013;1&#x000b7;32)</td><td align="left" valign="top" rowspan="1" colspan="1">2&#x000b7;88%</td><td align="left" valign="top" rowspan="1" colspan="1">1&#x000b7;05
(0&#x000b7;78&#x02013;1&#x000b7;41)</td></tr><tr><td colspan="9" align="left" valign="top" rowspan="1">HCV</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x000a0;2010</td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;52%</td><td align="left" valign="top" rowspan="1" colspan="1">-</td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;57%</td><td align="left" valign="top" rowspan="1" colspan="1">-</td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;46%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;56%</td><td align="left" valign="top" rowspan="1" colspan="1">-</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x000a0;2011</td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;52%</td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;99
(0&#x000b7;59&#x02013;1&#x000b7;66)</td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;52%</td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;90
(0&#x000b7;51&#x02013;1&#x000b7;60)</td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;62%</td><td align="left" valign="top" rowspan="1" colspan="1">1&#x000b7;34
(0&#x000b7;72&#x02013;2&#x000b7;49)</td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;80%</td><td align="left" valign="top" rowspan="1" colspan="1">1&#x000b7;42
(0&#x000b7;76&#x02013;2&#x000b7;66)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x000a0;2012</td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;45%</td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;86
(0&#x000b7;51&#x02013;1&#x000b7;42)</td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;44%</td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;74
(0&#x000b7;42&#x02013;1&#x000b7;29)</td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;50%</td><td align="left" valign="top" rowspan="1" colspan="1">1&#x000b7;05
(0&#x000b7;58&#x02013;1&#x000b7;90)</td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;31%</td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;54
(0&#x000b7;25&#x02013;1&#x000b7;16)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x000a0;2013</td><td align="left" valign="top" rowspan="1" colspan="1">1&#x000b7;18%</td><td align="left" valign="top" rowspan="1" colspan="1"><bold>2&#x000b7;27
(1&#x000b7;45&#x02013;3&#x000b7;45)</bold></td><td align="left" valign="top" rowspan="1" colspan="1">1&#x000b7;01%</td><td align="left" valign="top" rowspan="1" colspan="1"><bold>1&#x000b7;77
(1&#x000b7;11&#x02013;2&#x000b7;83)</bold></td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;84%</td><td align="left" valign="top" rowspan="1" colspan="1"><bold>1&#x000b7;82
(1&#x000b7;05&#x02013;3&#x000b7;17)</bold></td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;88%</td><td align="left" valign="top" rowspan="1" colspan="1">1&#x000b7;55
(0&#x000b7;87&#x02013;2&#x000b7;78)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x000a0;2014</td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;91%</td><td align="left" valign="top" rowspan="1" colspan="1"><bold>1&#x000b7;75
(1&#x000b7;11&#x02013;2&#x000b7;76)</bold></td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;97%</td><td align="left" valign="top" rowspan="1" colspan="1"><bold>1&#x000b7;69
(1&#x000b7;04&#x02013;2&#x000b7;73)</bold></td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;71%</td><td align="left" valign="top" rowspan="1" colspan="1">1&#x000b7;53
(0&#x000b7;88&#x02013;2&#x000b7;67)</td><td align="left" valign="top" rowspan="1" colspan="1">0&#x000b7;76%</td><td align="left" valign="top" rowspan="1" colspan="1">1&#x000b7;34
(0&#x000b7;73&#x02013;2&#x000b7;47)</td></tr></tbody></table><table-wrap-foot><fn id="TFN5"><p id="P42">HBsAg, hepatitis B surface antigen; HCV, hepatitis C virus; PR,
prevalence ratio; 95% CI, 95% confidence interval; SP, seroprevalence.</p></fn><fn id="TFN6"><p id="P43">Sources: National Blood Safety Program; Haitian Red Cross.</p></fn><fn id="TFN7"><p id="P44">Bold values indicate statistical significance at alpha= 0&#x000b7;05
level.</p></fn></table-wrap-foot></table-wrap></floats-group></article>