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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">8915313</journal-id><journal-id journal-id-type="pubmed-jr-id">1056</journal-id><journal-id journal-id-type="nlm-ta">AIDS Care</journal-id><journal-id journal-id-type="iso-abbrev">AIDS Care</journal-id><journal-title-group><journal-title>AIDS care</journal-title></journal-title-group><issn pub-type="ppub">0954-0121</issn><issn pub-type="epub">1360-0451</issn></journal-meta><article-meta><article-id pub-id-type="pmid">38502602</article-id><article-id pub-id-type="pmc">11283934</article-id><article-id pub-id-type="doi">10.1080/09540121.2024.2307383</article-id><article-id pub-id-type="manuscript">HHSPA1996172</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Social Network Strategy (SNS) for HIV Testing: A New Approach for Identifying Individuals with Undiagnosed HIV Infection in Tanzania</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Rwabiyago</surname><given-names>Oscar Ernest</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Katale</surname><given-names>Allen</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Bingham</surname><given-names>Trista</given-names></name><xref rid="A2" ref-type="aff">b</xref></contrib><contrib contrib-type="author"><name><surname>Grund</surname><given-names>Jonathan M.</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Machangu</surname><given-names>Ona</given-names></name><xref rid="A3" ref-type="aff">c</xref></contrib><contrib contrib-type="author"><name><surname>Medley</surname><given-names>Amy</given-names></name><xref rid="A2" ref-type="aff">b</xref></contrib><contrib contrib-type="author"><name><surname>Nkomela</surname><given-names>Zeye M.</given-names></name><xref rid="A3" ref-type="aff">c</xref></contrib><contrib contrib-type="author"><name><surname>Kayange</surname><given-names>Alick</given-names></name><xref rid="A4" ref-type="aff">d</xref></contrib><contrib contrib-type="author"><name><surname>King&#x02019;ori</surname><given-names>Galal Naphtal</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Juma</surname><given-names>James McOllogi</given-names></name><xref rid="A3" ref-type="aff">c</xref></contrib><contrib contrib-type="author"><name><surname>Ismail</surname><given-names>Abbas</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Kategile</surname><given-names>Upendo</given-names></name><xref rid="A5" ref-type="aff">e</xref></contrib><contrib contrib-type="author"><name><surname>Akom</surname><given-names>Eniko</given-names></name><xref rid="A6" ref-type="aff">f</xref><xref rid="A7" ref-type="aff">g</xref></contrib><contrib contrib-type="author"><name><surname>Mlole</surname><given-names>Neema Tabian</given-names></name><xref rid="A8" ref-type="aff">h</xref></contrib><contrib contrib-type="author"><name><surname>Schaad</surname><given-names>Nicolas</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Maokola</surname><given-names>Werner</given-names></name><xref rid="A3" ref-type="aff">c</xref></contrib><contrib contrib-type="author"><name><surname>Nyagonde</surname><given-names>Nyagonde</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Magesa</surname><given-names>Daniel</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Kazitanga</surname><given-names>Jaiving C.</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Maruyama</surname><given-names>Haruka</given-names></name><xref rid="A9" ref-type="aff">i</xref></contrib><contrib contrib-type="author"><name><surname>Temu</surname><given-names>Florence</given-names></name><xref rid="A10" ref-type="aff">j</xref></contrib><contrib contrib-type="author"><name><surname>Kimambo</surname><given-names>Sajida</given-names></name><xref rid="A11" ref-type="aff">k</xref></contrib><contrib contrib-type="author"><name><surname>Sando</surname><given-names>David</given-names></name><xref rid="A12" ref-type="aff">l</xref></contrib><contrib contrib-type="author"><name><surname>Mbatia</surname><given-names>Redempta</given-names></name><xref rid="A13" ref-type="aff">m</xref></contrib><contrib contrib-type="author"><name><surname>Chalamila</surname><given-names>Sally Talike</given-names></name><xref rid="A14" ref-type="aff">n</xref></contrib><contrib contrib-type="author"><name><surname>Ogwang</surname><given-names>Bernard Ediedu</given-names></name><xref rid="A15" ref-type="aff">o</xref></contrib><contrib contrib-type="author"><name><surname>Njelekela</surname><given-names>Marina Alois</given-names></name><xref rid="A16" ref-type="aff">p</xref></contrib><contrib contrib-type="author"><name><surname>Kazaura</surname><given-names>Kokuhumbya</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Wong</surname><given-names>Vincent J.</given-names></name><xref rid="A17" ref-type="aff">q</xref></contrib><contrib contrib-type="author"><name><surname>Gongo</surname><given-names>Ramadhani</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Njau</surname><given-names>Prosper Faustine</given-names></name><xref rid="A3" ref-type="aff">c</xref></contrib><contrib contrib-type="author"><name><surname>Mbunda</surname><given-names>Andrea</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Nondi</surname><given-names>Joseph</given-names></name><xref rid="A4" ref-type="aff">d</xref></contrib><contrib contrib-type="author"><name><surname>Bateganya</surname><given-names>Moses</given-names></name><xref rid="A5" ref-type="aff">e</xref></contrib><contrib contrib-type="author"><name><surname>Greene</surname><given-names>Jessica</given-names></name><xref rid="A18" ref-type="aff">r</xref></contrib><contrib contrib-type="author"><name><surname>Breda</surname><given-names>Mark</given-names></name><xref rid="A4" ref-type="aff">d</xref></contrib><contrib contrib-type="author"><name><surname>Mgomella</surname><given-names>George</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Rwebembera</surname><given-names>Anath</given-names></name><xref rid="A3" ref-type="aff">c</xref></contrib><contrib contrib-type="author"><name><surname>Swaminathan</surname><given-names>Mahesh</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib></contrib-group><aff id="A1"><label>a</label>United States Centers for Disease Control and Prevention, Dar es Salaam, Division of Global HIV and TB, Dar es Salaam, Tanzania</aff><aff id="A2"><label>b</label>United States Centers for Disease Control and Prevention, Division of Global HIV and TB, Atlanta, Georgia, USA.</aff><aff id="A3"><label>c</label>Tanzania Ministry of Health: The National AIDS, STIs and Hepatitis Control Program, Dodoma, Tanzania</aff><aff id="A4"><label>d</label>United States Walter Reed Army Institute of Research/Department of Defense (WRAIR/DOD), Dar es Salaam, Tanzania.</aff><aff id="A5"><label>e</label>United States Agency for International Development, Dar es Salaam, Tanzania</aff><aff id="A6"><label>f</label>U.S. Military HIV Research Program (MHRP), Walter Reed Army Institute of Research, Silver Spring, MD, USA.</aff><aff id="A7"><label>g</label>The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA</aff><aff id="A8"><label>h</label>President&#x02019;s Office, Regional Administration and Local Government, Dodoma, Tanzania</aff><aff id="A9"><label>i</label>ICAP at Columbia University, Dar es Salaam, Tanzania</aff><aff id="A10"><label>j</label>AMREF Health Africa, Dar es Salaam, Tanzania</aff><aff id="A11"><label>k</label>USAID Afya Yangu Northern Project, Dar es Salaam, Tanzania</aff><aff id="A12"><label>l</label>Management and Development for Health, Dar es Salaam, Tanzania</aff><aff id="A13"><label>m</label>Tanzania Health Promotion Support, Dar es Salaam, Tanzania</aff><aff id="A14"><label>n</label>HJF Medical Research International, Inc, Dar es Salaam, Tanzania</aff><aff id="A15"><label>o</label>Meeting Targets and Maintaining Epidemic Control (EpiC), Tanzania</aff><aff id="A16"><label>p</label>Deloitte Consulting, Dar es Salaam, Tanzania</aff><aff id="A17"><label>q</label>United States Agency for International Development, Office of HIV/AIDS, Washington DC, USA</aff><aff id="A18"><label>r</label>PEPFAR Coordination Office, Dar es Salaam, Tanzania</aff><pub-date pub-type="nihms-submitted"><day>3</day><month>6</month><year>2024</year></pub-date><pub-date pub-type="ppub"><month>7</month><year>2024</year></pub-date><pub-date pub-type="epub"><day>19</day><month>3</month><year>2024</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>8</month><year>2024</year></pub-date><volume>36</volume><issue>sup1</issue><fpage>201</fpage><lpage>210</lpage><abstract id="ABS1"><p id="P1">Social network strategy (SNS) testing uses network connections to refer individuals at high risk to HIV testing services (HTS). In Tanzania, SNS testing is offered in communities and health facilities. In communities, SNS testing targets key and vulnerable populations (KVP), while in health facilities it complements index testing by reaching unelicited index contacts. Routine data were used to assess performance and trends over time in PEPFAR-supported sites between October 2021 and March 2023. Key indicators included SNS social contacts tested, and new HIV-positives individuals identified. Descriptive and statistical analysis were conducted. Univariable and multivariable analysis were applied, and variables with <italic toggle="yes">P</italic>-values &#x0003c;0.2 at univariable analysis were considered for multivariable analysis. Overall, 121,739 SNS contacts were tested, and 7,731 (6.4%) previously undiagnosed individuals living with HIV were identified. Tested contacts and identified HIV-positives were mostly aged &#x02265;15 years (&#x0003e;99.7%) and females (80.6% of tests, 79.4% of HIV-positives). Most SNS contacts were tested (78,363; 64.7%) and diagnosed (6376; 82.5%) in communities. SNS tests and HIV-positives grew 11.5 and 6.1-fold respectively, from October-December 2021 to January-March 2023, with majority of clients reached in communities vs. facilities (78,763 vs. 42,976). These results indicate that SNS testing is a promising HIV case-finding approach in Tanzania.</p></abstract><kwd-group><kwd>Tanzania</kwd><kwd>social network strategy</kwd><kwd>HIV testing services</kwd><kwd>sub-Saharan Africa</kwd><kwd>SDG 3</kwd></kwd-group></article-meta></front><body><sec id="S1"><title>INTRODUCTION</title><p id="P2">Many countries in sub-Saharan Africa (SSA) are focused on reaching the Joint United Nations Programme on HIV/AIDS (UNAIDS)&#x02019;s 95&#x02013;95-95 strategy (<xref rid="R27" ref-type="bibr">UNAIDS, 2015</xref>) and responding to the United Nations Sustainable Development Goal (SDG) 3 (<xref rid="R26" ref-type="bibr">UN, 2023</xref>). A 2016&#x02013;2017 national population-based household survey conducted in Tanzania showed that only 61.0% of people living with HIV in Tanzania knew their status, (<xref rid="R25" ref-type="bibr">TACAIDS, 2018</xref>). To address this gap, the Government of Tanzania (GOT) through the Ministry of Health (MOH), in collaboration with the U.S. President&#x02019;s Emergency Plan for AIDS Relief (PEPFAR), prioritized more effective and targeted HIV case identification strategies, such as index testing, optimized facility based provider-initiated testing and counseling (PITC), HIV self-testing and focused community HIV testing services (HTS) targeting key and vulnerable populations (KVP) at high risk of HIV infection (<xref rid="R16" ref-type="bibr">NACP, 2017</xref>, <xref rid="R17" ref-type="bibr">2019</xref>). KVP is defined as groups at increased risk of HIV transmission/acquisition, i.e. female sex workers (FSW), men who have sex with men (MSM), and people who inject drugs (PWID), or long distance track drivers, fisherfolks/fishing community and miners/mining community (<xref rid="R16" ref-type="bibr">NACP, 2017</xref>)</p><p id="P3">Reflecting on the HIV case identification strategies deployed after the Tanzania HIV Impact Survey 2016&#x02013;2017 (<xref rid="R25" ref-type="bibr">TACAIDS, 2018</xref>), one potential modality to improve HTS and HIV case identification activities was index testing, a case finding modality that demonstrated great programmatic impact in identifying individuals with undiagnosed HIV infections across most sub-populations and age groups (<xref rid="R4" ref-type="bibr">Dalal et al., 2017</xref>; <xref rid="R9" ref-type="bibr">Kahabuka et al., 2017</xref>; <xref rid="R12" ref-type="bibr">Lyamuya et al., 2020</xref>; <xref rid="R13" ref-type="bibr">Mahachi et al., 2019</xref>; <xref rid="R22" ref-type="bibr">Sharma et al., 2018</xref>). Understanding that the challenges of reaching undiagnosed PLHIV increase as the identification gap decreases (<xref rid="R3" ref-type="bibr">Chamie et al., 2021</xref>), Tanzania considered social network strategies (SNS testing) for HTS as an additional modality to reach networks at high risk for HIV and to identify PLHIV who would otherwise not be diagnosed through routine HTS (<xref rid="R15" ref-type="bibr">McCree et al., 2013</xref>; <xref rid="R20" ref-type="bibr">PEPFAR, 2023</xref>; <xref rid="R24" ref-type="bibr">Stojanovski et al., 2021</xref>). In 2021, PEPFAR recommended SNS testing to enhance HIV case finding among networks of high-risk individuals (<xref rid="R19" ref-type="bibr">PEPFAR, 2021b</xref>), especially in countries with large gaps to reaching UNAIDS&#x02019; first 95. These findings are consistent with the World Health Organization (WHO) and Centers for Disease Control and Prevention&#x02019;s (CDC) descriptions of SNS as a case finding strategy that improves identification of PLHIV who do not know their HIV status (<xref rid="R2" ref-type="bibr">CDC, 2023</xref>; <xref rid="R28" ref-type="bibr">WHO, 2019</xref>). Additionally, SNS testing promoted uptake of HIV self-testing as well as Pre-exposure Prophylaxis (PrEP) (<xref rid="R3" ref-type="bibr">Chamie et al., 2021</xref>; <xref rid="R10" ref-type="bibr">Kwan et al., 2023</xref>; <xref rid="R11" ref-type="bibr">Lee &#x00026; Schafer, 2023</xref>; <xref rid="R23" ref-type="bibr">Sheira et al., 2022</xref>), which are integral parts of HTS and HIV prevention respectively. Tanzania&#x02019;s MOH, in collaboration with PEPFAR and its implementing partners (IPs), started to implement and report SNS testing data from both communities and facilities starting in October 2021 (PEPFAR fiscal year 2022) (<xref rid="R18" ref-type="bibr">PEPFAR, 2021a</xref>).</p><p id="P4">SNS testing has been implemented globally and in SSA (<xref rid="R3" ref-type="bibr">Chamie et al., 2021</xref>; <xref rid="R6" ref-type="bibr">Farquhar et al., 2022</xref>; <xref rid="R11" ref-type="bibr">Lee &#x00026; Schafer, 2023</xref>) primarily targeting networks of KVP identified above (<xref rid="R7" ref-type="bibr">Girault et al., 2015</xref>), (<xref rid="R5" ref-type="bibr">Denisiuk et al., 2023</xref>), (<xref rid="R23" ref-type="bibr">Sheira et al., 2022</xref>). SNS testing was also used to complement index testing, which is an established effective HIV case finding modality. PEPFAR described this hybrid of modalities as &#x0201c;blended&#x0201d; where HIV positive index clients were used as seeds, who were given HTS referral coupons to take to index contacts who would not be elicited or reached through routine index testing (<xref rid="R20" ref-type="bibr">PEPFAR, 2023</xref>). The elicitation of index contacts who, for different reasons, cannot be identified through index testing are elicited as social contacts by SNS testing. This approach provided index cases the freedom of participation and safety assurance for themselves and their partners (<xref rid="R8" ref-type="bibr">Grimsrud et al., 2023</xref>; <xref rid="R18" ref-type="bibr">PEPFAR, 2021a</xref>), including age-discordant sexual partnerships with increased HIV risk to the younger partner (<xref rid="R21" ref-type="bibr">Ritchwood et al., 2016</xref>), due to social-legal issues like incarceration for sex with minor age, it may be challenging for an older index case to identify younger partners as sexual contacts under index testing program, would rather list them anonymously as social contact under SNS testing.</p><p id="P5">This paper describes performance of SNS testing scale-up, its trend over time and factors associated with uptake of SNS in Tanzania from October 2021 to March 2023. Also, it highlights efforts by GOT led by MOH under PEPFAR&#x02019;s to ensure scale-up of SNS testing with fidelity and its potential impact on the overall HIV case finding strategies towards reaching HIV epidemic control.</p></sec><sec id="S2"><title>MATERIALS AND METHODS</title><sec id="S3"><title>Overall HTS delivery and SNS testing implementation</title><p id="P6">HTS is provided by trained health care workers according to MOH-approved, national guidelines and standard operating procedures (SOPs) (<xref rid="R17" ref-type="bibr">NACP, 2019</xref>). Key case finding modalities reported by PEPFAR in Tanzania include: identifying, finding, and testing individuals exposed to HIV-positive clients (index testing), HIV testing at health facility TB clinics (TB Clinic), community HIV testing outreach activities (community mobile testing), provider-initiated HIV risk screening and testing (optimized PITC), and SNS testing (<xref rid="R17" ref-type="bibr">NACP, 2019</xref>). Also, the two prevention monitoring HTS modalities which focused on prevention of mother to child transmission (PMTCT) are; HIV testing of pregnant women at their first antenatal care clinic (ANC) for their current pregnancy (HIV testing at antenatal clinic (ANC)), and HIV testing of pregnant or breast feeding women after first ANC test up to 18 months post-delivery (maternal retesting) (<xref rid="R17" ref-type="bibr">NACP, 2019</xref>; <xref rid="R18" ref-type="bibr">PEPFAR, 2021a</xref>).</p><p id="P7">Tanzania started reporting SNS testing as a HTS modality in October 2021, which is the beginning of PEPFAR fiscal year 2022. SNS testing has been implemented in both community and health facility (facility) settings. In communities, it targeted mainly KVP known as &#x0201c;seeds or recruiters&#x0201d; who were given coupons to share with their social contacts at high-risk for HIV acquisition and or transmission (<xref rid="R16" ref-type="bibr">NACP, 2017</xref>). Seeds or recruiters are often KVP themselves (HIV-positive or high-risk HIV negative clients) who are instructed to refer their high-risk network members for HTS (<xref rid="R2" ref-type="bibr">CDC, 2023</xref>; <xref rid="R28" ref-type="bibr">WHO, 2019</xref>). In facilities, SNS testing served as a practical extension of index testing to reach the unelicited contacts who may be sexual/needles sharing partners or biological children, or other high-risk network members of a HIV-positive client. SNS testing cascade implies looking at the SNS performance in association of seeds/recruits (initial client), social contacts elicited, social contacts tested and testing results.</p></sec><sec id="S4"><title>Data collection, recording and reporting</title><p id="P8">In Tanzania, the collection, recording, and reporting of HTS data from community and health facility sites uses national HTS tools. HTS data are collected and reviewed for accuracy, completeness, and consistency, then recorded in a PEPFAR-developed system called &#x0201c;Data for Accountability Transparency Impact Monitoring&#x0201d; (DATIM). DATIM serves as a centralized platform for data management and reporting, ensuring consistent and comprehensive reporting of HTS services across sites supported by PEPFAR. SNS testing is reported as a HTS service delivery modality for community and health facility sites (<xref rid="R18" ref-type="bibr">PEPFAR, 2021a</xref>). SNS testing indicators collected include number of SNS tests and number HIV-positives identified disaggregated by age and sex.</p></sec><sec id="S5"><title>Data analysis</title><p id="P9">Programmatic data captured in DATIM were downloaded for the analysis period of interest. Site level data were imported to generate pivot tables on an MS Excel spreadsheet limited to HTS variables (indicators) reported over 18 months, i.e., October 2021 through March 2023. HIV positivity yield (&#x0201c;yield&#x0201d;) was calculated as the percentage of total HIV-positives divided by total HIV tests done. SNS testing contribution was calculated as percentage of SNS test results divided by total HIV test results from all HTS modalities together. Descriptive analyses were conducted using the Microsoft Excel software. Performance of each of the HTS modalities was done to show HIV tests, resulted HIV-positives, percentages of HIV-positives (yield) and percentage contribution for each HTS modality. Additionally, performance of SNS testing was shown in terms of social contacts tested, HIV-positive identified and proportion of SNS testing to all modalities&#x02019; total testing disaggregated by setting (community/facility), sex, and age. SNS testing trend analysis on quarterly (3-month) basis for the reporting duration was conducted and further disaggregated by different attributes of setting (facility vs. community). For the statistical analysis, the inferential analysis was done using a Poisson log-linear model accounting for robust standard errors to assess factors associated with number of people receiving HTS. The multivariable model was developed to control for the possible confounders that could exist for some of the factors with outcome of interest. The independent variables for the regression model included age, sex, and facility type and the dependent variable was HTS through SNS testing. The robust standard errors were opted to control for mild violation of the distribution assumption. Both univariable and multivariable analysis were applied, and variables with P-values &#x0003c;0.2 at univariable analysis were considered for multivariable analysis.</p></sec></sec><sec id="S6"><title>RESULTS:</title><sec id="S7"><title>Overall results by modality, setting, sex, and age</title><p id="P10">During the 18-month analysis period (October 2021 &#x02013; March 2023), PEPFAR Tanzania reported a total of 5,856,460 HIV tests conducted through all modalities and identified 261,466 new HIV cases. The index testing modality contributed over half (53.4%) of all HIV positives identified (<xref rid="T1" ref-type="table">Table 1</xref>). During this period, SNS testing reported 121,739 tests and 7,731 new HIV positives. Approximately two thirds (64.7%) of SNS tests and over three quarters (82.5%) of HIV-positive cases identified were from communities. Also, over three quarters of both SNS tests (80.6%) and HIV-positives cases (79.4%) were females and most aged above 15 years (&#x0003e;99.7% for both tests and positives). The overall SNS testing positivity rate is 6.4%, with no significant difference between sexes (males 6.7%, females 6.3%), but with variations by settings i.e., community 8.1% and facility 3.2% (<xref rid="T2" ref-type="table">Table 2</xref>). The positivity rates were highest among females aged &#x02265;35 years (&#x0003e;10%) and males &#x02265;45 years (&#x0003e;15%) compared to other age groups above 15 years. Also, higher positivity rates were observed among children&#x02014;females aged 1&#x02013;4 years (10.5%) and males aged 10&#x02013;14 years (22.7%) (<xref rid="T3" ref-type="table">Table 3</xref>). Dispensaries had a lower uptake of SNS testing, while health centers and hospitals were not significantly different from communities. The results also showed younger populations were testing more using SNS testing compared to older adults: age 15&#x02013;19 years [exp (0.71), P=.01], age 20&#x02013;24 years [exp (1.58), P&#x0003c;.0001], age 25&#x02013;29 years [exp (1.55), P&#x0003c;.0001], age 30&#x02013;34 years [exp (1.23), P=.0002], age 35&#x02013;39 years [exp (0.60), P=.003] (<xref rid="T4" ref-type="table">Table 4</xref>).</p></sec><sec id="S8"><title>SNS testing scale-up performance trend</title><p id="P11">From the beginning of the analysis period, the quarter October &#x02013; December 2021 to the quarter January &#x02013; March 2023, SNS tests increased by 11.5-fold (43,058/3,739). SNS testing increased faster in facilities compared to community venues during the same period (SNS tests: 7.6-fold community, 40.2-fold facility (<xref rid="F1" ref-type="fig">Figure 1</xref>). Quarterly trend of positivity rate declined, from 11.0% in the quarter October &#x02013; December 2021 to 5.9% in the quarter January &#x02013; March 2023, while the number of HIV positives identified through SNS testing increased by 6.1-fold (2522/411) (<xref rid="F2" ref-type="fig">Figure 2</xref>), with 4.8-fold increase in community (1,940/406), and 116.4-fold increase in facility (582/5) (<xref rid="F3" ref-type="fig">Figure 3</xref>). The positivity rates trend showed variations by setting: &#x0003e;7.7% in community and &#x0003c;4.0% in facility (<xref rid="F4" ref-type="fig">Figure 4</xref>).</p></sec><sec id="S9"><title>SNS implementation coverage</title><p id="P12">Index testing is a HTS modality implemented extensively across all community and facility sites in Tanzania. SNS testing is expected to follow the footprint of index testing in terms of sites coverage, therefore, number of index testing sites were used as benchmark to measure the scale-up of SNS testing (<xref rid="F5" ref-type="fig">Figure 5</xref> &#x00026; <xref rid="F6" ref-type="fig">6</xref>). Between quarters October &#x02013; December 2021 and January &#x02013; March 2023 community sites that reported at least 1 SNS test increased by 4.2-fold from 265 sites to 1,119 sites, which is equivalent to 27.3% and 76.1% of all community sites implementing index testing, respectively (<xref rid="F5" ref-type="fig">Figure 5</xref>). <xref rid="F6" ref-type="fig">Figure 6</xref> shows two benchmarks PEPFAR Tanzania used to measure SNS testing coverage in facility setting, one is total number of PEPFAR Tanzania supported health facilities, and the other is facilities that reported at least 1 index test. Facility coverage of SNS testing against index testing facilities increased from 15.5% in October &#x02013; December 2021 quarter to 72% by Jan-Mar 2023 quarter and from 9% to 58% against PEPFAR supported facilities for PEPFAR fiscal year 2023 (<xref rid="F6" ref-type="fig">Figure 6</xref>). Correspondingly, the proportion of HIV positives identified from SNS out of all HIV positive diagnoses increased from 1% in the quarter October &#x02013; December 2021 to 5.4% in quarter January &#x02013; March 2023 (<xref rid="F7" ref-type="fig">Figure 7</xref>).</p></sec></sec><sec id="S10"><title>DISCUSSION</title><p id="P13">This analysis highlighted the potential role of SNS testing, which showed exponential growth in identifying previously undiagnosed individuals over six quarters. Though not fully implemented across community and facility sites, the contribution of HIV-positives from SNS testing increased more than five times between quarters October &#x02013; December 2021 and January &#x02013; March 2023. The positivity rate from SNS testing was &#x0003e;6%, higher than the average positivity rate from the overall HTS program in Tanzania (~4%)(<xref rid="R17" ref-type="bibr">NACP, 2019</xref>), implying effectiveness of this model.</p><p id="P14">Community SNS testing contribution is higher compared to facility most probably because the implementation started in the communities compared to facility. The facility implementation rolled-out in phased approach that started with high-volume facilities (hospitals), down to lower-volume facilities i.e., health centers and dispensaries, which is why uptake of SNS testing in hospitals equals community. More females reached by SNS testing compared to males correlates with the overall Tanzania HTS program performance. The higher positivity rate of &#x0003e;10% among women aged &#x0003e;35 years and men aged &#x0003e;45 years (&#x0003e;15%), is consistent with results seen with the index testing modality.</p><p id="P15">SNS testing has been shown to be integrated well with other HIV case finding modalities, particularly index testing and HIV self-testing, as well as DREAMS and PrEP (<xref rid="R5" ref-type="bibr">Denisiuk et al., 2023</xref>; <xref rid="R6" ref-type="bibr">Farquhar et al., 2022</xref>; <xref rid="R7" ref-type="bibr">Girault et al., 2015</xref>; <xref rid="R10" ref-type="bibr">Kwan et al., 2023</xref>). SNS testing was used to reach unelicited sexual partners from index testing as social contacts and showed effectiveness on diagnosing new HIV infections among Adolescent Girls and Young Women (AGYW) in facility settings (i.e., 1,512 HIV-positive females aged 15&#x02013;24 years identified through SNS testing with the positivity rate of &#x0003e;3% - more than average yield for AGYW) (<xref rid="R16" ref-type="bibr">NACP, 2017</xref>). These findings have potential benefits and opportunities to reduce new HIV infections in this priority age group.</p><p id="P16">Although children were not the target population for SNS testing, they were part of elicited social networks at risk of HIV. A total of 20 children living with HIV (CLHIV) aged &#x02264;15 years were identified through SNS testing from 241 pediatric social contacts tested. The observed high positivity rate of 8.3% for identified CLHIV is about four times higher than the average rate for this population in Tanzania (~2%) (<xref rid="R17" ref-type="bibr">NACP, 2019</xref>). These findings prompted review of the program and data to better understand and apply SNS testing for HIV case finding among pediatric and adolescents.</p><p id="P17">Lack of systems that can support reporting of SNS testing and SNS testing outputs by sub-population type are observed limitations of this modality. These should be considered in prospective reviews of standardized national data recording and reporting tools as they are essential components for SNS testing program oversight and impact measurement.</p><p id="P18">This analysis investigated SNS testing implementation in both communities and health facilities targeting KVP. Much of the published literature on SNS globally and in SSA has focused on Key Populations (<xref rid="R1" ref-type="bibr">Boyer et al., 2013</xref>; <xref rid="R6" ref-type="bibr">Farquhar et al., 2022</xref>; <xref rid="R7" ref-type="bibr">Girault et al., 2015</xref>; <xref rid="R10" ref-type="bibr">Kwan et al., 2023</xref>; <xref rid="R14" ref-type="bibr">Maina et al., 2018</xref>; <xref rid="R15" ref-type="bibr">McCree et al., 2013</xref>). The increased HIV identification as the model was scaled-up underscores the potential of this HIV case-finding approach in Tanzania. The findings from this analysis suggested that there are still potential opportunities to further scale-up SNS testing in both communities and facilities, providing a solid signal to inspire full SNS testing roll-out, and closer monitoring of the program impact.</p></sec><sec id="S11"><title>CONCLUSION:</title><p id="P19">SNS testing demonstrated its effectiveness in reaching high-risk individuals who would otherwise not been reached through existing HTS modalities in Tanzania. The program implementation coverage thus far indicated that there are still opportunities to scale up this modality in both community and facility settings. Nonetheless, closer tracking of facility implementation is needed to ensure fidelity to the SNS model due to the persistent lower positivity rate. For useful and impactful oversight of the program, HTS systems should be enabled to capture beneficiaries&#x02019; population type and cascade of SNS testing. 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(<year>2019</year>). <source>WHO recommends social network-based HIV testing approaches for key populations as part of partner services package</source>. <comment>Retrieved 30 June 2023 from <ext-link xlink:href="https://www.who.int/publications/i/item/WHO-CDS-HIV-19.32" ext-link-type="uri">https://www.who.int/publications/i/item/WHO-CDS-HIV-19.32</ext-link></comment></mixed-citation></ref></ref-list></back><floats-group><fig position="float" id="F1"><label>Figure 1:</label><caption><p id="P22">Quarterly trend of SNS tests disaggregated by community and facility, in PEPFAR-supported sites in Tanzania between October 2021 to March 2023.</p></caption><graphic xlink:href="nihms-1996172-f0001" position="float"/></fig><fig position="float" id="F2"><label>Figure 2:</label><caption><p id="P23">Quarterly trend of SNS testing HIV positives and percentage positivity yield, in PEPFAR-supported sites in Tanzania between October 2021 to March 2023</p></caption><graphic xlink:href="nihms-1996172-f0002" position="float"/></fig><fig position="float" id="F3"><label>Figure 3:</label><caption><p id="P24">Quarterly trend of SNS testing HIV positives by community and facility settings, in PEPFAR-supported sites in Tanzania between October 2021 to March 2023</p></caption><graphic xlink:href="nihms-1996172-f0003" position="float"/></fig><fig position="float" id="F4"><label>Figure 4:</label><caption><p id="P25">Quarterly trend of SNS positivity yield for community and facility settings, in PEPFAR-supported sites in Tanzania between October 2021 to March 2023</p></caption><graphic xlink:href="nihms-1996172-f0004" position="float"/></fig><fig position="float" id="F5"><label>Figure 5:</label><caption><p id="P26">The quarterly trend of the number of community sites reported SNS tests against community sites which reported at least 1 index tests, in PEPFAR-supported sites in Tanzania between October 2021 to March 2023</p></caption><graphic xlink:href="nihms-1996172-f0005" position="float"/></fig><fig position="float" id="F6"><label>Figure 6:</label><caption><p id="P27">Quarterly trend of the number of health facilities reported SNS tests against PEPFAR supported facilities and facilities reported at least 1 index tests, in PEPFAR-supported sites in Tanzania between October 2021 to March 2023</p></caption><graphic xlink:href="nihms-1996172-f0006" position="float"/></fig><fig position="float" id="F7"><label>Figure 7:</label><caption><p id="P28">The quarterly trend of proportion of new positives identified from SNS testing modality to all positives, in PEPFAR-supported sites in Tanzania between October 2021 to March 2023</p></caption><graphic xlink:href="nihms-1996172-f0007" position="float"/></fig><table-wrap position="float" id="T1"><label>Table 1:</label><caption><p id="P29">HIV testing modalities and performance on new HIV cases identification, percentage positive yield and percentage of total HIV diagnoses, U.S. President&#x02019;s Emergency Program for AIDS Relief (PEPFAR) funded sites in Tanzania, October 2021 to March 2023</p></caption><table frame="hsides" rules="none"><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"/></colgroup><thead><tr><th align="center" valign="middle" rowspan="1" colspan="1">HTS modality group</th><th align="center" valign="middle" rowspan="1" colspan="1">HTS Modality</th><th align="center" valign="middle" rowspan="1" colspan="1">HIV Tests</th><th align="center" valign="middle" rowspan="1" colspan="1">Tested positives</th><th align="center" valign="middle" rowspan="1" colspan="1">Percentage positive Yield</th><th align="center" valign="middle" rowspan="1" colspan="1">Percentage contribution of Tests</th><th align="center" valign="middle" rowspan="1" colspan="1">Percentage contribution of Positives</th></tr><tr><th colspan="7" align="center" valign="middle" rowspan="1">
<hr/>
</th></tr></thead><tbody><tr><td rowspan="5" align="center" valign="middle" colspan="1">Case finding</td><td align="right" valign="bottom" rowspan="1" colspan="1">Index testing</td><td align="center" valign="bottom" rowspan="1" colspan="1">1,045,418</td><td align="center" valign="bottom" rowspan="1" colspan="1">139,600</td><td align="center" valign="bottom" rowspan="1" colspan="1">13.4%</td><td align="center" valign="bottom" rowspan="1" colspan="1">18%</td><td align="center" valign="bottom" rowspan="1" colspan="1">53.4%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">TB Clinic</td><td align="center" valign="bottom" rowspan="1" colspan="1">87,928</td><td align="center" valign="bottom" rowspan="1" colspan="1">5,730</td><td align="center" valign="bottom" rowspan="1" colspan="1">6.5%</td><td align="center" valign="bottom" rowspan="1" colspan="1">2%</td><td align="center" valign="bottom" rowspan="1" colspan="1">2.2%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">Community mobile testing</td><td align="center" valign="bottom" rowspan="1" colspan="1">420,717</td><td align="center" valign="bottom" rowspan="1" colspan="1">24,203</td><td align="center" valign="bottom" rowspan="1" colspan="1">5.8%</td><td align="center" valign="bottom" rowspan="1" colspan="1">7%</td><td align="center" valign="bottom" rowspan="1" colspan="1">9.3%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">optimized PITC</td><td align="center" valign="bottom" rowspan="1" colspan="1">1,940,914</td><td align="center" valign="bottom" rowspan="1" colspan="1">67,632</td><td align="center" valign="bottom" rowspan="1" colspan="1">3.5%</td><td align="center" valign="bottom" rowspan="1" colspan="1">33%</td><td align="center" valign="bottom" rowspan="1" colspan="1">25.9%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">SNS testing</td><td align="center" valign="bottom" rowspan="1" colspan="1">121,739</td><td align="center" valign="bottom" rowspan="1" colspan="1">7,731</td><td align="center" valign="bottom" rowspan="1" colspan="1">6.4%</td><td align="center" valign="bottom" rowspan="1" colspan="1">2%</td><td align="center" valign="bottom" rowspan="1" colspan="1">3.0%</td></tr><tr><td colspan="7" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td rowspan="2" align="center" valign="middle" colspan="1">Prevention monitoring</td><td align="right" valign="bottom" rowspan="1" colspan="1">Testing at antenatal clinic (ANC)</td><td align="center" valign="bottom" rowspan="1" colspan="1">1,816,467</td><td align="center" valign="bottom" rowspan="1" colspan="1">16,003</td><td align="center" valign="bottom" rowspan="1" colspan="1">0.9%</td><td align="center" valign="bottom" rowspan="1" colspan="1">31%</td><td align="center" valign="bottom" rowspan="1" colspan="1">6.1%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">Maternal retesting</td><td align="center" valign="bottom" rowspan="1" colspan="1">423,277</td><td align="center" valign="bottom" rowspan="1" colspan="1">567</td><td align="center" valign="bottom" rowspan="1" colspan="1">0.1%</td><td align="center" valign="bottom" rowspan="1" colspan="1">7%</td><td align="center" valign="bottom" rowspan="1" colspan="1">0.2%</td></tr><tr><td colspan="7" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td colspan="2" align="center" valign="bottom" rowspan="1">
<bold>TOTAL</bold>
</td><td align="left" valign="bottom" rowspan="1" colspan="1">
<bold>5,856,460</bold>
</td><td align="left" valign="bottom" rowspan="1" colspan="1">
<bold>261,466</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>4%</bold>
</td><td align="center" valign="bottom" rowspan="1" colspan="1">100%</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>100%</bold>
</td></tr></tbody></table></table-wrap><table-wrap position="float" id="T2"><label>Table 2:</label><caption><p id="P30">Performance of social network strategy (SNS) testing, stratified by testing setting, gender, and age bands, in PEPFAR-supported sites in Tanzania between October 2021 to March 2023</p></caption><table frame="below" rules="none"><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"/></colgroup><thead><tr><th align="center" valign="middle" rowspan="1" colspan="1">Category</th><th align="center" valign="middle" rowspan="1" colspan="1">Social contacts tested</th><th align="center" valign="middle" rowspan="1" colspan="1">Social contacts tested positive</th><th align="center" valign="middle" rowspan="1" colspan="1">Percentage positive yield</th><th align="center" valign="middle" rowspan="1" colspan="1">Percentage contribution of SNS tests</th><th align="center" valign="middle" rowspan="1" colspan="1">Percentage contribution of SNS positives</th></tr><tr><th colspan="6" align="center" valign="middle" rowspan="1">
<hr/>
</th></tr></thead><tbody><tr><td align="left" valign="bottom" rowspan="1" colspan="1">
<bold>Settings:</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">Community</td><td align="center" valign="middle" rowspan="1" colspan="1">78,763</td><td align="center" valign="middle" rowspan="1" colspan="1">6,376</td><td align="center" valign="middle" rowspan="1" colspan="1">8.1%</td><td align="center" valign="middle" rowspan="1" colspan="1">64.7%</td><td align="center" valign="middle" rowspan="1" colspan="1">82.5%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">Facility</td><td align="center" valign="middle" rowspan="1" colspan="1">42,976</td><td align="center" valign="middle" rowspan="1" colspan="1">1,355</td><td align="center" valign="middle" rowspan="1" colspan="1">3.2%</td><td align="center" valign="middle" rowspan="1" colspan="1">35.3%</td><td align="center" valign="middle" rowspan="1" colspan="1">17.5%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">
<bold>Total</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>121,739</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>7,731</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>6.4%</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>100.0%</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>100.0%</bold>
</td></tr><tr><td colspan="6" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">
<bold>Sex:</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">Male</td><td align="center" valign="middle" rowspan="1" colspan="1">23,611</td><td align="center" valign="middle" rowspan="1" colspan="1">1591</td><td align="center" valign="middle" rowspan="1" colspan="1">6.7%</td><td align="center" valign="middle" rowspan="1" colspan="1">19.4%</td><td align="center" valign="middle" rowspan="1" colspan="1">20.6%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">Female</td><td align="center" valign="middle" rowspan="1" colspan="1">98,128</td><td align="center" valign="middle" rowspan="1" colspan="1">6140</td><td align="center" valign="middle" rowspan="1" colspan="1">6.3%</td><td align="center" valign="middle" rowspan="1" colspan="1">80.6%</td><td align="center" valign="middle" rowspan="1" colspan="1">79.4%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">
<bold>Total</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>121,739</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>7,731</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>6.4%</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>100.0%</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>100.0%</bold>
</td></tr><tr><td colspan="6" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">
<bold>Course age bands (years):</bold>
</td><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">&#x0003c;15</td><td align="left" valign="bottom" rowspan="1" colspan="1">241</td><td align="left" valign="bottom" rowspan="1" colspan="1">20</td><td align="center" valign="middle" rowspan="1" colspan="1">8.3%</td><td align="center" valign="middle" rowspan="1" colspan="1">0.2%</td><td align="center" valign="middle" rowspan="1" colspan="1">0.3%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">15+</td><td align="left" valign="bottom" rowspan="1" colspan="1">121,483</td><td align="left" valign="bottom" rowspan="1" colspan="1">7,711</td><td align="center" valign="middle" rowspan="1" colspan="1">6.3%</td><td align="center" valign="middle" rowspan="1" colspan="1">99.8%</td><td align="center" valign="middle" rowspan="1" colspan="1">99.7%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">Unknown Age<xref rid="TFN1" ref-type="table-fn">*</xref></td><td align="left" valign="bottom" rowspan="1" colspan="1">15</td><td align="left" valign="bottom" rowspan="1" colspan="1">-</td><td align="center" valign="middle" rowspan="1" colspan="1">0.0%</td><td align="center" valign="middle" rowspan="1" colspan="1">0.0%</td><td align="center" valign="middle" rowspan="1" colspan="1">0.0%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">
<bold>Total</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>121,739</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>7,731</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>6.4%</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>100.0%</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>100.0%</bold>
</td></tr><tr><td colspan="6" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">
<bold>Finer age bands (years):</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">01&#x02013;04</td><td align="center" valign="middle" rowspan="1" colspan="1">40</td><td align="center" valign="middle" rowspan="1" colspan="1">2</td><td align="center" valign="middle" rowspan="1" colspan="1">5.0%</td><td align="center" valign="middle" rowspan="1" colspan="1">0.0%</td><td align="center" valign="middle" rowspan="1" colspan="1">0.0%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">05&#x02013;09</td><td align="center" valign="middle" rowspan="1" colspan="1">27</td><td align="center" valign="middle" rowspan="1" colspan="1">1</td><td align="center" valign="middle" rowspan="1" colspan="1">3.7%</td><td align="center" valign="middle" rowspan="1" colspan="1">0.0%</td><td align="center" valign="middle" rowspan="1" colspan="1">0.0%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">10&#x02013;14</td><td align="center" valign="middle" rowspan="1" colspan="1">174</td><td align="center" valign="middle" rowspan="1" colspan="1">17</td><td align="center" valign="middle" rowspan="1" colspan="1">9.8%</td><td align="center" valign="middle" rowspan="1" colspan="1">0.1%</td><td align="center" valign="middle" rowspan="1" colspan="1">0.2%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">15&#x02013;19</td><td align="center" valign="middle" rowspan="1" colspan="1">10,201</td><td align="center" valign="middle" rowspan="1" colspan="1">329</td><td align="center" valign="middle" rowspan="1" colspan="1">3.2%</td><td align="center" valign="middle" rowspan="1" colspan="1">8.4%</td><td align="center" valign="middle" rowspan="1" colspan="1">4.3%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">20&#x02013;24</td><td align="center" valign="middle" rowspan="1" colspan="1">32,054</td><td align="center" valign="middle" rowspan="1" colspan="1">1,356</td><td align="center" valign="middle" rowspan="1" colspan="1">4.2%</td><td align="center" valign="middle" rowspan="1" colspan="1">26.3%</td><td align="center" valign="middle" rowspan="1" colspan="1">17.5%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">25&#x02013;29</td><td align="center" valign="middle" rowspan="1" colspan="1">34,089</td><td align="center" valign="middle" rowspan="1" colspan="1">1,751</td><td align="center" valign="middle" rowspan="1" colspan="1">5.1%</td><td align="center" valign="middle" rowspan="1" colspan="1">28.0%</td><td align="center" valign="middle" rowspan="1" colspan="1">22.6%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">30&#x02013;34</td><td align="center" valign="middle" rowspan="1" colspan="1">23,146</td><td align="center" valign="middle" rowspan="1" colspan="1">1,597</td><td align="center" valign="middle" rowspan="1" colspan="1">6.9%</td><td align="center" valign="middle" rowspan="1" colspan="1">19.0%</td><td align="center" valign="middle" rowspan="1" colspan="1">20.7%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">35&#x02013;39</td><td align="center" valign="middle" rowspan="1" colspan="1">10,629</td><td align="center" valign="middle" rowspan="1" colspan="1">1,034</td><td align="center" valign="middle" rowspan="1" colspan="1">9.7%</td><td align="center" valign="middle" rowspan="1" colspan="1">8.7%</td><td align="center" valign="middle" rowspan="1" colspan="1">13.4%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">40&#x02013;44</td><td align="center" valign="middle" rowspan="1" colspan="1">6,230</td><td align="center" valign="middle" rowspan="1" colspan="1">733</td><td align="center" valign="middle" rowspan="1" colspan="1">11.8%</td><td align="center" valign="middle" rowspan="1" colspan="1">5.1%</td><td align="center" valign="middle" rowspan="1" colspan="1">9.5%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">45&#x02013;49</td><td align="center" valign="middle" rowspan="1" colspan="1">2,583</td><td align="center" valign="middle" rowspan="1" colspan="1">476</td><td align="center" valign="middle" rowspan="1" colspan="1">18.4%</td><td align="center" valign="middle" rowspan="1" colspan="1">2.1%</td><td align="center" valign="middle" rowspan="1" colspan="1">6.2%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">50+</td><td align="center" valign="middle" rowspan="1" colspan="1">2,551</td><td align="center" valign="middle" rowspan="1" colspan="1">435</td><td align="center" valign="middle" rowspan="1" colspan="1">17.1%</td><td align="center" valign="middle" rowspan="1" colspan="1">2.1%</td><td align="center" valign="middle" rowspan="1" colspan="1">5.6%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">Unknown Age <xref rid="TFN1" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">15</td><td align="center" valign="middle" rowspan="1" colspan="1">-</td><td align="center" valign="middle" rowspan="1" colspan="1">0.0%</td><td align="center" valign="middle" rowspan="1" colspan="1">0.0%</td><td align="center" valign="middle" rowspan="1" colspan="1">0.0%</td></tr><tr><td align="right" valign="bottom" rowspan="1" colspan="1">
<bold>Total</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>121,739</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>7,731</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>6.4%</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>100.0%</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>100.0%</bold>
</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>*</label><p id="P31">Unknown age: Age related data is not fully collected</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T3"><label>Table 3:</label><caption><p id="P32">SNS testing by finer age bands and sex, in PEPFAR-supported sites in Tanzania between October 2021 to March 2023</p></caption><table frame="hsides" rules="none"><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"/></colgroup><thead><tr><th rowspan="3" align="center" valign="middle" colspan="1">age bands</th><th colspan="2" align="center" valign="middle" rowspan="1">HTS_TST</th><th colspan="2" align="center" valign="middle" rowspan="1">HTS_TST_POS</th><th align="center" valign="middle" rowspan="1" colspan="1">YIELD</th><th align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><th colspan="6" align="center" valign="middle" rowspan="1">
<hr/>
</th></tr><tr><th align="center" valign="middle" rowspan="1" colspan="1">Female</th><th align="center" valign="middle" rowspan="1" colspan="1">Male</th><th align="center" valign="middle" rowspan="1" colspan="1">Female</th><th align="center" valign="middle" rowspan="1" colspan="1">Male</th><th align="center" valign="middle" rowspan="1" colspan="1">Female</th><th align="center" valign="middle" rowspan="1" colspan="1">Male</th></tr><tr><th colspan="7" align="center" valign="middle" rowspan="1">
<hr/>
</th></tr></thead><tbody><tr><td align="right" valign="middle" rowspan="1" colspan="1">01&#x02013;04</td><td align="center" valign="middle" rowspan="1" colspan="1">19</td><td align="center" valign="middle" rowspan="1" colspan="1">21</td><td align="center" valign="middle" rowspan="1" colspan="1">2</td><td align="center" valign="middle" rowspan="1" colspan="1">-</td><td align="center" valign="middle" rowspan="1" colspan="1">10.5%</td><td align="center" valign="middle" rowspan="1" colspan="1">0.0%</td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">05&#x02013;09</td><td align="center" valign="middle" rowspan="1" colspan="1">18</td><td align="center" valign="middle" rowspan="1" colspan="1">9</td><td align="center" valign="middle" rowspan="1" colspan="1">1</td><td align="center" valign="middle" rowspan="1" colspan="1">-</td><td align="center" valign="middle" rowspan="1" colspan="1">5.6%</td><td align="center" valign="middle" rowspan="1" colspan="1">0.0%</td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">10&#x02013;14</td><td align="center" valign="middle" rowspan="1" colspan="1">108</td><td align="center" valign="middle" rowspan="1" colspan="1">66</td><td align="center" valign="middle" rowspan="1" colspan="1">2</td><td align="center" valign="middle" rowspan="1" colspan="1">15</td><td align="center" valign="middle" rowspan="1" colspan="1">1.9%</td><td align="center" valign="middle" rowspan="1" colspan="1">22.7%</td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">15&#x02013;19</td><td align="center" valign="middle" rowspan="1" colspan="1">9,271</td><td align="center" valign="middle" rowspan="1" colspan="1">930</td><td align="center" valign="middle" rowspan="1" colspan="1">286</td><td align="center" valign="middle" rowspan="1" colspan="1">43</td><td align="center" valign="middle" rowspan="1" colspan="1">3.1%</td><td align="center" valign="middle" rowspan="1" colspan="1">4.6%</td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">20&#x02013;24</td><td align="center" valign="middle" rowspan="1" colspan="1">28,512</td><td align="center" valign="middle" rowspan="1" colspan="1">3,542</td><td align="center" valign="middle" rowspan="1" colspan="1">1,226</td><td align="center" valign="middle" rowspan="1" colspan="1">130</td><td align="center" valign="middle" rowspan="1" colspan="1">4.3%</td><td align="center" valign="middle" rowspan="1" colspan="1">3.7%</td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">25&#x02013;29</td><td align="center" valign="middle" rowspan="1" colspan="1">28,240</td><td align="center" valign="middle" rowspan="1" colspan="1">5,849</td><td align="center" valign="middle" rowspan="1" colspan="1">1,463</td><td align="center" valign="middle" rowspan="1" colspan="1">288</td><td align="center" valign="middle" rowspan="1" colspan="1">5.2%</td><td align="center" valign="middle" rowspan="1" colspan="1">4.9%</td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">30&#x02013;34</td><td align="center" valign="middle" rowspan="1" colspan="1">18,032</td><td align="center" valign="middle" rowspan="1" colspan="1">5,114</td><td align="center" valign="middle" rowspan="1" colspan="1">1,310</td><td align="center" valign="middle" rowspan="1" colspan="1">287</td><td align="center" valign="middle" rowspan="1" colspan="1">7.3%</td><td align="center" valign="middle" rowspan="1" colspan="1">5.6%</td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">35&#x02013;39</td><td align="center" valign="middle" rowspan="1" colspan="1">7,437</td><td align="center" valign="middle" rowspan="1" colspan="1">3,192</td><td align="center" valign="middle" rowspan="1" colspan="1">801</td><td align="center" valign="middle" rowspan="1" colspan="1">233</td><td align="center" valign="middle" rowspan="1" colspan="1">10.8%</td><td align="center" valign="middle" rowspan="1" colspan="1">7.3%</td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">40&#x02013;44</td><td align="center" valign="middle" rowspan="1" colspan="1">3,772</td><td align="center" valign="middle" rowspan="1" colspan="1">2,458</td><td align="center" valign="middle" rowspan="1" colspan="1">511</td><td align="center" valign="middle" rowspan="1" colspan="1">222</td><td align="center" valign="middle" rowspan="1" colspan="1">13.5%</td><td align="center" valign="middle" rowspan="1" colspan="1">9.0%</td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">45&#x02013;49</td><td align="center" valign="middle" rowspan="1" colspan="1">1,416</td><td align="center" valign="middle" rowspan="1" colspan="1">1,167</td><td align="center" valign="middle" rowspan="1" colspan="1">295</td><td align="center" valign="middle" rowspan="1" colspan="1">181</td><td align="center" valign="middle" rowspan="1" colspan="1">20.8%</td><td align="center" valign="middle" rowspan="1" colspan="1">15.5%</td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">50+</td><td align="center" valign="middle" rowspan="1" colspan="1">1,294</td><td align="center" valign="middle" rowspan="1" colspan="1">1,257</td><td align="center" valign="middle" rowspan="1" colspan="1">243</td><td align="center" valign="middle" rowspan="1" colspan="1">192</td><td align="center" valign="middle" rowspan="1" colspan="1">18.8%</td><td align="center" valign="middle" rowspan="1" colspan="1">15.3%</td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">Unknown Age<xref rid="TFN3" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">9</td><td align="center" valign="middle" rowspan="1" colspan="1">6</td><td align="center" valign="middle" rowspan="1" colspan="1">-</td><td align="center" valign="middle" rowspan="1" colspan="1">-</td><td align="center" valign="middle" rowspan="1" colspan="1">0.0%</td><td align="center" valign="middle" rowspan="1" colspan="1">0.0%</td></tr><tr><td colspan="7" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">
<bold>Total</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>98,128</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>23,611</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>6,140</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>1,591</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>6.3%</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>6.7%</bold>
</td></tr></tbody></table><table-wrap-foot><fn id="TFN3"><label>*</label><p id="P33">Unknown age: Age related data is not fully collected</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T4"><label>Table 4:</label><caption><p id="P34">Poisson Log-Linear Model showing characteristics associated with clients who received HIV/Testing through SNS testing, in PEPFAR-supported sites in Tanzania between October 2021 to March 2023</p></caption><table frame="box" rules="cols"><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="top" rowspan="1" colspan="1">Factors</th><th align="left" valign="top" rowspan="1" colspan="1">Crude Estimates</th><th align="left" valign="top" rowspan="1" colspan="1">P-value</th><th align="left" valign="top" rowspan="1" colspan="1">Adjusted Estimates</th><th align="left" valign="top" rowspan="1" colspan="1">P-value</th></tr><tr><th colspan="5" align="center" valign="top" rowspan="1">
<hr/>
</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Sex:</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Male</td><td align="left" valign="top" rowspan="1" colspan="1">Ref</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Ref</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Female</td><td align="left" valign="top" rowspan="1" colspan="1">0.92(0.71&#x02013;1.12)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;.0001</td><td align="left" valign="top" rowspan="1" colspan="1">0.83(0.59&#x02013;1.07)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;.0001</td></tr><tr><td colspan="5" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Age:</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;15&#x02013;19</td><td align="left" valign="top" rowspan="1" colspan="1">0.89(0.41,1.37)</td><td align="left" valign="top" rowspan="1" colspan="1">0.0003</td><td align="left" valign="top" rowspan="1" colspan="1">0.71(0.19,1.23)</td><td align="left" valign="top" rowspan="1" colspan="1">0.01</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;20&#x02013;24</td><td align="left" valign="top" rowspan="1" colspan="1">1.64(1.04,2.23)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;.0001</td><td align="left" valign="top" rowspan="1" colspan="1">1.58(0.92,2.23)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;.0001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;25&#x02013;29</td><td align="left" valign="top" rowspan="1" colspan="1">1.58(0.99,2.16)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;.0001</td><td align="left" valign="top" rowspan="1" colspan="1">1.55(0.90,2.21)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;.0001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;30&#x02013;34</td><td align="left" valign="top" rowspan="1" colspan="1">1.27(0.66,1.88)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;.0001</td><td align="left" valign="top" rowspan="1" colspan="1">1.23(0.58,1.88)</td><td align="left" valign="top" rowspan="1" colspan="1">0.0002</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;35&#x02013;39</td><td align="left" valign="top" rowspan="1" colspan="1">0.68(0.15,1.21)</td><td align="left" valign="top" rowspan="1" colspan="1">0.01</td><td align="left" valign="top" rowspan="1" colspan="1">0.60(0.06,1.14)</td><td align="left" valign="top" rowspan="1" colspan="1">0.03</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;40&#x02013;44</td><td align="left" valign="top" rowspan="1" colspan="1">0.40(&#x02212;0.07,0.88)</td><td align="left" valign="top" rowspan="1" colspan="1">0.1</td><td align="left" valign="top" rowspan="1" colspan="1">0.30(&#x02212;0.14,0.74)</td><td align="left" valign="top" rowspan="1" colspan="1">0.18</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;45&#x02013;49</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;0.11(&#x02212;0.53,0.31)</td><td align="left" valign="top" rowspan="1" colspan="1">0.62</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;0.23(&#x02212;0.59,0.14)</td><td align="left" valign="top" rowspan="1" colspan="1">0.23</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;50+</td><td align="left" valign="top" rowspan="1" colspan="1">Ref</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Ref</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="5" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><bold>Facility level</bold>:</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Dispensary</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;0.33(&#x02212;0.43, &#x02212;0.23)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;.0001</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;0.66(&#x02212;0.76, &#x02212;0.56)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;.0001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Health Centers</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;.0.08(&#x02212;0.20,0.04)</td><td align="left" valign="top" rowspan="1" colspan="1">0.18</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;.0.15(&#x02212;0.27, &#x02212;0.02)</td><td align="left" valign="top" rowspan="1" colspan="1">0.02</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Hospital</td><td align="left" valign="top" rowspan="1" colspan="1">0.02(&#x02212;0.12,0.16)</td><td align="left" valign="top" rowspan="1" colspan="1">0.81</td><td align="left" valign="top" rowspan="1" colspan="1">0.15(&#x02212;0.01,0.31)</td><td align="left" valign="top" rowspan="1" colspan="1">0.06</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Community</td><td align="left" valign="top" rowspan="1" colspan="1">Ref</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Ref</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr></tbody></table><table-wrap-foot><fn id="TFN4"><label>*</label><p id="P35">Adjusted for region population size (census 2022), and implementation mechanisms</p></fn></table-wrap-foot></table-wrap></floats-group></article>