Factors associated with viral load testing and viral suppression among HIV-positive female sex workers in Nigeria.

BACKGROUND: Female sex workers (FSWs) are at high risk for HIV infection and face unique barriers to receiving and adhering to testing and treatment. Early viral suppression and consistent viral load testing are critical to optimizing health and reducing transmission in this population. However, the factors associated with testing and successful viral suppression among FSWs are poorly understood, especially in Sub-Saharan Africa. Our study aimed to examine factors, including social, demographic, and clinical characteristics, associated with viral load testing and suppression among female sex workers initiating antiretroviral therapy in Nigeria. METHODS: In this retrospective study, we analyzed routine programmatic data from FSWs enrolled in the National HIV Key Populations (KP) program in Nigeria. We included FSWs who were newly diagnosed with HIV and registered between January 2016 and January 2022. Primary outcomes of interest were a), receiving a viral load test at any point after treatment initiation and b), viral suppression (<1000 copies/ml) at the test closest to 6 months after treatment initiation. To identify factors associated with the outcomes of interest, we used univariable and multivariable logistic regression, with random intercepts for care facilities, and multiple imputation for missing values. FINDINGS: Out of 34,976 FSWs, 97.1% (n = 33,945) received at least one viral load test, with 94.5% (n = 32,092) indicating viral suppression. The odds of receiving at least one viral load test were higher for those who entered treatment in more recent years, those with formal education and those with advanced HIV stages at baseline (adjusted odds ratios [aOR]: 1.17 [1.14-1.19] for those who entered treatment in 2020 vs. 2016; 1.02 [1.01-1.03] for post-secondary vs. no education; and 1.05 [1.01-1.10] for WHO clinical stage 3/4 vs. stage 1 respectively). The odds of successful viral suppression were higher for those who entered treatment in more recent years, but lower for those with advanced HIV stages at baseline (aOR: 1.13 [1.09-1.18] for 2022 vs. 2016; and 0.92 [0.87-0.98] for WHO clinical stage 3/4 vs. stage 1 respectively). CONCLUSIONS: The study underscored the relevance of timely diagnosis and ART initiation for optimal outcomes among HIV-positive FSWs in Nigeria. We also observed significant improvements in the likelihood of early viral load testing and suppression over the study period, reflecting advancements in the KP program. Further research should clarify factors driving these trends to further strengthen the HIV care pipeline for female sex workers.

Leveraging human resources for outbreak analysis: lessons from an international collaboration to support the sub-Saharan African COVID-19 response.

Emerging infectious diseases are a growing threat in sub-Saharan African countries, but the human and technical capacity to quickly respond to outbreaks remains limited. Here, we describe the experience and lessons learned from a joint project with the WHO Regional Office for Africa (WHO AFRO) to support the sub-Saharan African COVID-19 response.In June 2020, WHO AFRO contracted a number of consultants to reinforce the COVID-19 response in member states by providing actionable epidemiological analysis. Given the urgency of the situation and the magnitude of work required, we recruited a worldwide network of field experts, academics and students in the areas of public health, data science and social science to support the effort. Most analyses were performed on a merged line list of COVID-19 cases using a reverse engineering model (line listing built using data extracted from national situation reports shared by countries with the Regional Office for Africa as per the IHR (2005) obligations). The data analysis platform The Renku Project ( https://renkulab.io ) provided secure data storage and permitted collaborative coding.Over a period of 6 months, 63 contributors from 32 nations (including 17 African countries) participated in the project. A total of 45 in-depth country-specific epidemiological reports and data quality reports were prepared for 28 countries. Spatial transmission and mortality risk indices were developed for 23 countries. Text and video-based training modules were developed to integrate and mentor new members. The team also began to develop EpiGraph Hub, a web application that automates the generation of reports similar to those we created, and includes more advanced data analyses features (e.g. mathematical models, geospatial analyses) to deliver real-time, actionable results to decision-makers.Within a short period, we implemented a global collaborative approach to health data management and analyses to advance national responses to health emergencies and outbreaks. The interdisciplinary team, the hands-on training and mentoring, and the participation of local researchers were key to the success of this initiative.