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Summary Background The COVID-19 pandemic could lead to disruptions to provision of HIV services for people living with HIV and those at risk of acquiring HIV in sub-Saharan Africa, where UNAIDS estimated that more than two-thirds of the approximately 38 million people living with HIV resided in 2018. We aimed to predict the potential effects of such disruptions on HIV-related deaths and new infections in sub-Saharan Africa. Methods In this modelling study, we used five well described models of HIV epidemics (Goals, Optima HIV, HIV Synthesis, an Imperial College London model, and Epidemiological MODeling software [EMOD]) to estimate the effect of various potential disruptions to HIV prevention, testing, and treatment services on HIV-related deaths and new infections in sub-Saharan Africa lasting 6 months over 1 year from April 1, 2020. We considered scenarios in which disruptions affected 20%, 50%, and 100% of the population. Findings A 6-month interruption of supply of antiretroviral therapy (ART) drugs across 50% of the population of people living with HIV who are on treatment would be expected to lead to a 1·63 times (median across models; range 1·39–1·87) increase in HIV-related deaths over a 1-year period compared with no disruption. In sub-Saharan Africa, this increase amounts to a median excess of HIV deaths, across all model estimates, of 296 000 (range 229 023–420 000) if such a high level of disruption occurred. Interruption of ART would increase mother-to-child transmission of HIV by approximately 1·6 times. Although an interruption in the supply of ART drugs would have the largest impact of any potential disruptions, effects of poorer clinical care due to overstretched health facilities, interruptions of supply of other drugs such as co-trimoxazole, and suspension of HIV testing would all have a substantial effect on population-level mortality (up to a 1·06 times increase in HIV-related deaths over a 1-year period due to disruptions affecting 50% of the population compared with no disruption). Interruption to condom supplies and peer education would make populations more susceptible to increases in HIV incidence, although physical distancing measures could lead to reductions in risky sexual behaviour (up to 1·19 times increase in new HIV infections over a 1-year period if 50% of people are affected). Interpretation During the COVID-19 pandemic, the primary priority for governments, donors, suppliers, and communities should focus on maintaining uninterrupted supply of ART drugs for people with HIV to avoid additional HIV-related deaths. The provision of other HIV prevention measures is also important to prevent any increase in HIV incidence. Funding Bill & Melinda Gates Foundation.

In Zimbabwe, as in other East and Southern African countries, HIV prevalence is largely geographically heterogeneous. We determined if, and to what extent, this heterogeneity is associated with proximity to sex work sites by type of site (city, economic growth point, international, seasonal, or transport), using Demographic and Health Surveys location-specific HIV prevalence data—including 16,121 individuals (aged 15-49 years) from 400 sample locations—and Centre for Sexual Health and HIV/AIDS Research data on locations of 56 sex work sites throughout Zimbabwe. We conducted univariate and multivariate multilevel logistic regression to determine the association between sex work proximity—calculated as the shortest distance by road from each survey sample location to the nearest sex work site—and HIV seropositivity. We found no association between locations of sex work and heterogeneity in HIV prevalence in the general population, possibly explained by the mobile nature of both female sex workers and their clients as individual-level indicators of sex work were still significantly associated with HIV.

Background In 2013, the World Health Organisation (WHO) recommended Option B+ as a strategy to prevent mother-to-child transmission (PMTCT) of HIV. In option B+ , lifelong antiretroviral therapy (ART) is offered to all HIV positive pregnant and breastfeeding women to reduce MTCT rate to less than or equal to 5%. Its success depends on retaining women on ART during pregnancy, delivery and breast-feeding period. There is limited data on early retention on ART among pregnant women in Zimbabwe. We therefore assessed early retention among women on Option B + from antenatal care (ANC) until 6 months post ANC booking and at delivery in Bulawayo city and Mazowe rural district of Zimbabwe. Methods We collected data for pregnant women booking for ANC between January and March 2018, comparing early retention among ART naïve women and those already on ART. The two cohorts were followed up for 6 months post ANC booking, and this was done in two districts. Data were collected from routine tools used at facility level which include ANC, delivery and ART registers. The Kaplan-Meier survival analysis was used to estimate retention probabilities at 1, 3 and 6 months post-delivery and for retention at delivery proportions were used. Poisson regression was used to investigate factors associated with non-retention at 6 months post ANC booking. Results A total of 388 women were included in the study with median age of 29 years (IQR: 25–34). Two-thirds booked in their second trimester. Retention at 3 and 6 months post ANC booking was 84% (95% CI 80–88) and 73% (95% CI 69–78) respectively. At delivery 81% (95% CI 76–84) were retained in care, 18% lost-to-follow-up and 1% transferred out. In this study we did not find marital status, gestation age, facility location, ART status at ANC booking, to be associated with loss to follow-up. Conclusion In this study, we found low retention at 3, 6 months and delivery, a threat to elimination of Mother-to-child Transmission of HIV in Zimbabwe. Our findings emphasize the need for enhanced interventions to improve early retention such as post-test counselling, patient tracing and visit reminders.

Introduction\ud Despite improvements in prevention of mother‐to‐child transmission (PMTCT) of HIV outcomes, there remain unacceptably high numbers of mother‐to‐child transmissions (MTCT) of HIV. Programmes and research collect multiple sources of PMTCT data, yet this data is rarely integrated in a systematic way. We conducted a data integration exercise to evaluate the Zimbabwe national PMTCT programme and derive lessons for strengthening implementation and documentation.\ud \ud Methods\ud We used data from four sources: research, Ministry of Health and Child Care (MOHCC) programme, Implementer – Organization for Public Health Interventions and Development, and modelling. Research data came from serial population representative cross‐sectional surveys that evaluated the national PMTCT programme in 2012, 2014 and 2017/2018. MOHCC and Organization for Public Health Interventions and Development collected data with similar indicators for the period 2018 to 2019. Modelling data from 2017/18 UNAIDS Spectrum was used. We systematically integrated data from the different sources to explore PMTCT programme performance at each step of the cascade. We also conducted spatial analysis to identify hotspots of MTCT.\ud \ud Results\ud We developed cascades for HIV‐positive and negative‐mothers, and HIV exposed and infected infants to 24 months post‐partum. Most data were available on HIV positive mothers. Few data were available 6‐8 weeks post‐delivery for HIV exposed/infected infants and none were available post‐delivery for HIV‐negative mothers. The different data sources largely concurred. Antenatal care (ANC) registration was high, although women often presented late. There was variable implementation of PMTCT services, MTCT hotspots were identified. Factors positively associated with MTCT included delayed ANC registration and mobility (use of more than one health facility) during pregnancy/breastfeeding. There was reduced MTCT among women whose partners accompanied them to ANC, and infants receiving antiretroviral prophylaxis. Notably, the largest contribution to MTCT was from postnatal women who had previously tested negative (12/25 in survey data, 17.6% estimated by Spectrum modelling). Data integration enabled formulation of interventions to improve programmes.\ud \ud Conclusions\ud Data integration was feasible and identified gaps in programme implementation/documentation leading to corrective interventions. Incident infections among mothers are the largest contributors to MTCT: there is need to strengthen the prevention cascade among HIV‐negative women.

SummaryWe applied a simulation model of HIV to analyze the effects of 3 and 6-month disruptions in health services as a result of COVID-19. We found that disruptions to primary prevention programs (male circumcision, behavior change programs, condom distribution) would have small but transitory effects on new infections that might be more than offset by reductions in commercial and multi-partner sex due to lock downs. However, if COVID-19 leads to disruptions in ART services the impacts on mortality could be severe, doubling or tripling the estimated number of HIV deaths in 2020.

The HIV pandemic provides lessons for the response to the novel coronavirus disease 2019 (COVID-19) pandemic: no vaccine is available for either and there are no licensed pharmaceuticals for COVID-19, just as there was not for HIV infection in the early years. Population behaviour will determine the pandemic trajectory of COVID-19,1 just as it did for HIV.