The health inequity and socioeconomic inequality faced by adolescent girls and women on the move living with or at high risk of HIV infection, during the COVID-19 pandemic in Nigeria.

BACKGROUND: We assessed if women and girls on the move living with or at high risk of HIV faced increased health inequity and socioeconomic inequalities during the COVID-19 pandemic compared with other vulnerable women and girls. METHODS: We used data collected through a survey conducted in Nigeria between June and October 2021. Women and girls living with or at risk of HIV were recruited voluntarily, using a combination of venue-based and snowball sampling. We performed multivariable logistic regression models per mobility and HIV status to determine associations between health inequity, socioeconomic inequalities and macrosocial characteristics. FINDINGS: There were 3442 participants, of which 700 were on the move. We found no statistical difference between HIV-negative women and girls on the move and those not on the move. On the opposite, we found substantial differences in health inequity and socioeconomic inequalities between women and girls on the move living with HIV and those not on the move living with HIV. There are very strong associations between being a woman or girl on the move living with HIV and facing economic precarity (aOR 6.08, 95% CI 1.94 to 19.03), food insecurity (aOR 5.96, 95% CI 2.16 to 16.50) and experiencing more gender-based violence since COVID-19 started (aOR 5.61, 95% CI 3.01 to 10.47). INTERPRETATION: Being a woman or girl on the move and living with HIV compound increased health and socioeconomic vulnerabilities. The COVID-19 crisis seems to have exacerbated inequalities and gender-based violence. These findings call for more feminist interventions to protect women on the move living with HIV during health crises.

An analysis of the uptake of anti-retroviral treatment among pregnant women in Nigeria from 2015 to 2020.

The percentage of Human Immunodeficiency Virus (HIV) positive pregnant women that receive anti-retroviral treatment in Nigeria is low and has been declining. Consequently, 14% of all new infections among children in 2020 occurred in Nigeria. A detailed analysis of available data was undertaken to generate evidence to inform remedial actions. Data from routine service delivery, national surveys and models were analyzed for the six-year period from 2015 to 2020. Numbers and percentages were calculated for antenatal registrations, HIV testing, HIV positive pregnant women and HIV positive pregnant women on antiretroviral treatment. The Mann-Kendall Trend Test was used to determine the presence of time trends when the p-value was less than 0.05. In 2020, only 35% of an estimated 7.8 million pregnant women received antenatal care at a health facility that provided and reported PMTCT services. Within these facilities, the percentage of HIV-positive pregnant women on anti-retroviral treatment from 71% in 2015 to 88% in 2020. However, declining HIV positivity rates at these antenatal clinics and an absence of expansion of PMTCT services to other pregnant women due to cost-efficiency considerations contributed to a progressive decline in national PMTCT coverage rates. To achieve elimination of mother-to-child transmission of HIV, all pregnant women should be offered a HIV test, all who are HIV positive should be given anti-retroviral treatment, and all PMTCT services should be reported.

Epidemiological comparison of the first and second waves of the COVID-19 pandemic in Nigeria, February 2020-April 2021.

BACKGROUND: With reports of surges in COVID-19 case numbers across over 50 countries, country-level epidemiological analysis is required to inform context-appropriate response strategies for containment and mitigation of the outbreak. We aimed to compare the epidemiological features of the first and second waves of COVID-19 in Nigeria. METHODS: We conducted a retrospective analysis of the Surveillance Outbreak Response Management and Analysis System data of the first and second epidemiological waves, which were between 27 February and 24 October 2020, and 25 October 2020 to 3 April 2021, respectively. Descriptive statistical measures including frequencies and percentages, test positivity rate (TPR), cumulative incidence (CI) and case fatality rates (CFRs) were compared. A p value of <0.05 was considered statistically significant. All statistical analyses were carried out in STATA V.13. RESULTS: There were 802 143 tests recorded during the study period (362 550 and 439 593 in the first and second waves, respectively). Of these, 66 121 (18.2%) and 91 644 (20.8%) tested positive in the first and second waves, respectively. There was a 21.3% increase in the number of tests conducted in the second wave with TPR increasing by 14.3%. CI during the first and second waves were 30.3/100 000 and 42.0/100 000 respectively. During the second wave, confirmed COVID-19 cases increased among females and people 30 years old or younger and decreased among urban residents and individuals with travel history within 14 days of sample collection (p value <0.001). Most confirmed cases were asymptomatic at diagnosis during both waves: 74.9% in the first wave; 79.7% in the second wave. CFR decreased during the second wave (0.7%) compared with the first wave (1.8%). CONCLUSION: Nigeria experienced a larger but less severe second wave of COVID-19. Continued implementation of public health and social measures is needed to mitigate the resurgence of another wave.

On estimating the number of people with known HIV positive status.

OBJECTIVE: In 2014, the Joint United Nations Program on HIV and AIDS (UNAIDS) and partners set the '90-90-90 targets'. Many countries are facing the challenge of estimating the first 90. Our objective was to propose an alternative modelling procedure, and to discuss its usefulness for taking into account duplication. RESULTS: For deduplication, we identified two important ingredients: the probability for an HIV+ person of being re-tested during the period and average number of HIV+ tests. Other adjusted factors included: the false positive probability; the death and emigration probabilities. The uncertainty of the adjusted estimate was assessed using the plausibility bounds and sensitivity analysis. The proposed method was applied to Cameroon for the period 1987-2016. Of the 560,000 people living with HIV estimated from UNAIDS in 2016; 504,000 out to know their status. The model estimates that 380,464 [379,257, 381,674] know their status (75.5%); thus 179,536 who do not know their status should be sought through the intensification of testing. These results were subsequently used for constructing the full 2016 Cameroon HIV cascade for identifying programmatic gap, prioritizing the resources, and guiding the strategies of the 2018-2022 National Strategy Plan and funding request.