Capture-Recapture Among Men Who Have Sex With Men and Among Female Sex Workers in 11 Towns in Uganda.

Kevin Apodaca, Reena Hemendra Doshi, Moses Ogwal, Herbert Kiyingi, George Aluzimbi, Geofrey Musinguzi, Ibrahim Lutalo, Evelyn Akello, Wolfgang Hladik
Author Information
  1. Kevin Apodaca: Public Health Institute, Oakland, CA, United States. ORCID
  2. Reena Hemendra Doshi: Centers for Disease Control and Prevention, Center for Global Health, Division of Global HIV and TB, Atlanta, GA, United States. ORCID
  3. Moses Ogwal: Makerere University, School of Public Health, Kampala, Uganda. ORCID
  4. Herbert Kiyingi: Centers for Disease Control and Prevention, Division of Global HIV and TB, Kampala, Uganda. ORCID
  5. George Aluzimbi: Centers for Disease Control and Prevention, Division of Global HIV and TB, Kampala, Uganda. ORCID
  6. Geofrey Musinguzi: Makerere University, School of Public Health, Kampala, Uganda. ORCID
  7. Ibrahim Lutalo: Makere University, School of Public Health, Monitoring and Evaluation Techical Support Program, Kampala, Uganda. ORCID
  8. Evelyn Akello: Makere University, School of Public Health, Monitoring and Evaluation Techical Support Program, Kampala, Uganda. ORCID
  9. Wolfgang Hladik: Centers for Disease Control and Prevention, Center for Global Health, Division of Global HIV and TB, Atlanta, GA, United States. ORCID

Abstract

BACKGROUND: Key populations at higher risk for HIV infection, including people who inject drugs, men who have sex with men (MSM), and female sex workers (FSWs), are disproportionately affected by the HIV/AIDS epidemic. Empirical estimates of their population sizes are necessary for HIV program planning and monitoring. Such estimates, however, are lacking for most of Uganda's urban centers.
OBJECTIVE: The aim of this study was to estimate the number of FSWs and MSM in select locations in Uganda.
METHODS: We utilized conventional 2-source capture-recapture (CRC) to estimate the population of FSWs in Mbale, Jinja, Wakiso, Mbarara, Gulu, Kabarole, Busia, Tororo, Masaka, and Kabale and the population of MSM in Mbale, Jinja, Wakiso, Mbarara, Gulu, Kabarole, and Mukono from June to August 2017. Hand mirrors and key chains were distributed to FSWs and MSM, respectively, by peers during capture 1. A week later, different FSWs and MSM distributors went to the same towns to collect data for the second capture. Population size estimates and 95% CIs were calculated using the CRC Simple Interactive Statistical Analysis.
RESULTS: We estimated the population of FSWs and MSM using 2 different recapture definitions: those who could present the object or identify the object from a set of photos. The most credible (closer to global estimates of MSM; 3%-5%) estimates came from those who presented the objects only. The FSW population in Mbale was estimated to be 693 (95% CI 474-912). For Jinja, Mukono, Busia, and Tororo, we estimated the number of FSWs to be 802 (95% CI 534-1069), 322 (95% CI 300-343), 961 (95% CI 592-1330), and 2872 (95% CI 0-6005), respectively. For Masaka, Mbarara, Kabale, and Wakiso, we estimated the FSWs population to be 512 (95% CI 384-639), 1904 (95% CI 1058-2749), 377 (95% CI 247-506), and 828 (95% CI 502-1152), respectively. For Kabarole and Gulu, we estimated the FSWs population to be 397 (95% CI 325-469) and 1425 (95% CI 893-1958), respectively. MSM estimates were 381 (95% CI 299-462) for Mbale, 1100 (95% CI 351-1849) for Jinja, 368 (95% CI 281-455) for Wakiso, 322 (95% CI 253-390) for Mbarara, 180 (95% CI 170-189) for Gulu, 335 (95% CI 258-412) for Kabarole, and 264 (95% CI 228-301) for Mukono.
CONCLUSIONS: The CRC activity was one of the first to be carried out in Uganda to obtain small town-level population sizes for FSWs and MSM. We found that it is feasible to use FSW and MSM peers for this activity, but proper training and standardized data collection tools are essential to minimize bias.

Keywords

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Grants

  1. U2G GH000466/CGH CDC HHS

Word Cloud

Created with Highcharts 10.0.095%CIMSMFSWspopulationestimatesestimatedmensexMbaleJinjaWakisoMbararaGuluKabarolerespectivelyHIVUgandaCRCMukonosizesestimatenumberBusiaTororoMasakaKabalepeerscapturedifferentdatasizeusingobjectFSW322activityAmongMenSexBACKGROUND:KeypopulationshigherriskinfectionincludingpeopleinjectdrugsfemaleworkersdisproportionatelyaffectedHIV/AIDSepidemicEmpiricalnecessaryprogramplanningmonitoringhoweverlackingUganda'surbancentersOBJECTIVE:aimstudyselectlocationsMETHODS:utilizedconventional2-sourcecapture-recaptureJuneAugust2017Handmirrorskeychainsdistributed1weeklaterdistributorswenttownscollectsecondPopulationCIscalculatedSimpleInteractiveStatisticalAnalysisRESULTS:2recapturedefinitions:presentidentifysetphotoscrediblecloserglobal3%-5%camepresentedobjects693474-912802534-1069300-343961592-133028720-6005512384-63919041058-2749377247-506828502-1152397325-4691425893-1958381299-4621100351-1849368281-455253-390180170-189335258-412264228-301CONCLUSIONS:onefirstcarriedobtainsmalltown-levelfoundfeasibleusepropertrainingstandardizedcollectiontoolsessentialminimizebiasCapture-RecaptureFemaleWorkers11Townsworker

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