Programmatic mapping and size estimation of key populations to inform HIV programming in Tanzania

Programmatic mapping and estimating the population size of female sex workers, men who have sex with men, people who inject drugs and transgender populations in Kenya

Introduction: Effective coverage of Human Immunodeficiency Virus prevention services for Key Populations (KPs) including female sex workers (FSWs), men who have sex with men (MSM), people who inject drugs (PWID) and transgender (TG) people necessitates periodic validation of physical venues and size estimates. Kenya conducted a robust size estimation of KPs in 2012 and a repeat mapping and size estimation exercise was conducted in 2018 to update KP Size Estimates and sub-typologies within each County for calculation of realistic program indicators.  Methods: A prospective mixed methods programmatic mapping approach adopted comprised two steps. The first step involved consolidating and documenting all known venues where KPs congregate while the second step included visiting and validating these venues confirming their active status. Data were collected in 34 out of 47 Counties in Kenya between January and March 2018. Data collected included estimated number of KPs (range), venue typology and timing of operation of each venue.   Results: We estimated a total number of 167,940 (129,271 to 206,609) FSWs; 32,580 (24,704 to 40,455) MSM; 16,063 (12,426 to 19,691) PWIDs; 10,951 (8,160 to 13,742) and 4,305 (2,826 to 5,783) transgender people congregating at 10,250, 1,729, 401 and 1,202 venues respectively. Majority of the venues for FSW (81%), MSM (64%) and transgender people (67%) were bars with and without lodging, PWIDs were mostly found on streets and injecting dens (70%).  Around 9% of FSW and MSM and11% of PWIDs were below the age of 18 years.  Conclusion: This study provided information on young KPs, female PWIDs, MSWs and for the first time, TG people in Kenya. The exercise updated size estimates of KPs by typology and provided new evidence for resource allocation, planning of interventions and targets. Programmatic mapping continues to be a useful approach supporting programs to achieve high levels of coverage and prioritize resources.

Development, Implementation, and Scale Up of the National Furaha Yangu Campaign to Promote HIV Test and Treat Services Uptake Among Men in Tanzania

Evidence has demonstrated that immediate HIV treatment initiation upon a positive HIV test, referred to as Test and Treat, can help people living with HIV live longer, healthier lives and prevent HIV transmission. Although Tanzania adopted the evidence-based Test and Treat strategy since 2016, men were not being adequately reached for HIV services. A national campaign was launched to promote the new HIV services with a focus on men. To inform the development and implementation of the campaign, we conducted formative audience insights-gathering (AIG) sessions to assess facilitators and barriers to accessing HIV Test and Treat services and inform the concepts and materials for the campaign. Qualitative AIG interviews and focus group discussions were conducted with 54 people who were unaware or aware of their HIV status and currently or not currently on treatment, as well as health workers. Facilitators and barriers included a fear of testing positive, the desire to belong, control their narratives, and reinvent themselves to achieve their dreams and live a happy life. The campaign played off a My Happiness! creative concept to position antiretroviral therapy (ART) as a solution to fears around what life would be like after a positive HIV diagnosis. The development and implementation of the campaign were informed by the AIG sessions and national stakeholders, leading to strong partners’ buy-in that supported the scale-up of the ongoing campaign from 12 to 26 regions via the collaborative efforts of government, donors, and implementing partners.

Summarizing methods for estimating population size for key populations: a global scoping review for human immunodeficiency virus research

BACKGROUND

Estimating the population sizes of key populations(people who inject drugs, men who have sex with men, transgender persons, and commercial sex workers) is critical for understanding the overall Human Immunodeficiency Virus burden. This scoping review aims to synthesize existing methods for population size estimation among key populations, and provide recommendations for future application of the existing methods.

METHODS

Relevant studies published from 1st January 2000 to 4th August 2020 and related to key population size estimation were retrieved and 120 of 688 studies were assessed. After reading the full texts, 81 studies were further excluded. Therefore, 39 studies were included in this scoping review. Estimation methods included five digital methods, one in-person method, and four hybrid methods.

FINDING

We summarized and organized the methods for population size estimateion into the following five categories: methods based on independent samples (including capture-recapture method and multiplier method), methods based on population counting (including Delphi method and mapping method), methods based on the official report (including workbook method), methods based on social network (including respondent-driven sampling method and network scale-up method) and methods based on data-driven technologies (Bayesian estimation method, Stochastic simulation method, and Laska, Meisner, and Siegel estimation method). Thirty-six (92%) articles were published after 2010 and 23 (59%) used multiple methods. Among the articles published after 2010, 11 in high-income countries and 28 in low-income countries. A total of 10 estimated the size of commercial sex workers, 14 focused on men who have sex with men, and 10 focused on people who inject drugs.

CONCLUSIONS

There was no gold standard for population size estimation. Among 120 studies that were related to population size estimation of key populations, the most commonly used population estimation method is the multiplier method (26/120 studies). Every method has its strengths and biases. In recent years, novel methods based on data-driven technologies such as Bayesian estimation have been developed and applied in many surveys.