Understanding the patterns of HIV/AIDS epidemics is crucial to tracking and monitoring the progress of prevention and control efforts in countries. We provide a comprehensive assessment of the levels and trends of HIV/AIDS incidence, prevalence, mortality, and coverage of antiretroviral therapy (ART) for 1980-2017 and forecast these estimates to 2030 for 195 countries and territories. We determined a modelling strategy for each country on the basis of the availability and quality of data. For countries and territories with data from population-based seroprevalence surveys or antenatal care clinics, we estimated prevalence and incidence using an open-source version of the Estimation and Projection Package-a natural history model originally developed by the UNAIDS Reference Group on Estimates, Modelling, and Projections. For countries with cause-specific vital registration data, we corrected data for garbage coding (ie, deaths coded to an intermediate, immediate, or poorly defined cause) and HIV misclassification. We developed a process of cohort incidence bias adjustment to use information on survival and deaths recorded in vital registration to back-calculate HIV incidence. For countries without any representative data on HIV, we produced incidence estimates by pulling information from observed bias in the geographical region. We used a re-coded version of the Spectrum model (a cohort component model that uses rates of disease progression and HIV mortality on and off ART) to produce age-sex-specific incidence, prevalence, and mortality, and treatment coverage results for all countries, and forecast these measures to 2030 using Spectrum with inputs that were extended on the basis of past trends in treatment scale-up and new infections. Global HIV mortality peaked in 2006 with 1·95 million deaths (95% uncertainty interval 1·87-2·04) and has since decreased to 0·95 million deaths (0·91-1·01) in 2017. New cases of HIV globally peaked in 1999 (3·16 million, 2·79-3·67) and since then have gradually decreased to 1·94 million (1·63-2·29) in 2017. These trends, along with ART scale-up, have globally resulted in increased prevalence, with 36·8 million (34·8-39·2) people living with HIV in 2017. Prevalence of HIV was highest in southern sub-Saharan Africa in 2017, and countries in the region had ART coverage ranging from 65·7% in Lesotho to 85·7% in eSwatini. Our forecasts showed that 54 countries will meet the UNAIDS target of 81% ART coverage by 2020 and 12 countries are on track to meet 90% ART coverage by 2030. Forecasted results estimate that few countries will meet the UNAIDS 2020 and 2030 mortality and incidence targets. Despite progress in reducing HIV-related mortality over the past decade, slow decreases in incidence, combined with the current context of stagnated funding for related interventions, mean that many countries are not on track to reach the 2020 and 2030 global targets for reduction in incidence and mortality. With a growing population of people living with HIV, it will continue to be a major threat to public health for years to come. The pace of progress needs to be hastened by continuing to expand access to ART and increasing investments in proven HIV prevention initiatives that can be scaled up to have population-level impact. Bill & Melinda Gates Foundation, National Institute of Mental Health of the US National Institutes of Health (NIH), and the National Institute on Aging of the NIH.

Universal access to safe drinking water and sanitation facilities is an essential human right, recognised in the Sustainable Development Goals as crucial for preventing disease and improving human wellbeing. Comprehensive, high-resolution estimates are important to inform progress towards achieving this goal. We aimed to produce high-resolution geospatial estimates of access to drinking water and sanitation facilities. We used a Bayesian geostatistical model and data from 600 sources across more than 88 low-income and middle-income countries (LMICs) to estimate access to drinking water and sanitation facilities on continuous continent-wide surfaces from 2000 to 2017, and aggregated results to policy-relevant administrative units. We estimated mutually exclusive and collectively exhaustive subcategories of facilities for drinking water (piped water on or off premises, other improved facilities, unimproved, and surface water) and sanitation facilities (septic or sewer sanitation, other improved, unimproved, and open defecation) with use of ordinal regression. We also estimated the number of diarrhoeal deaths in children younger than 5 years attributed to unsafe facilities and estimated deaths that were averted by increased access to safe facilities in 2017, and analysed geographical inequality in access within LMICs. Across LMICs, access to both piped water and improved water overall increased between 2000 and 2017, with progress varying spatially. For piped water, the safest water facility type, access increased from 40·0% (95% uncertainty interval [UI] 39·4-40·7) to 50·3% (50·0-50·5), but was lowest in sub-Saharan Africa, where access to piped water was mostly concentrated in urban centres. Access to both sewer or septic sanitation and improved sanitation overall also increased across all LMICs during the study period. For sewer or septic sanitation, access was 46·3% (95% UI 46·1-46·5) in 2017, compared with 28·7% (28·5-29·0) in 2000. Although some units improved access to the safest drinking water or sanitation facilities since 2000, a large absolute number of people continued to not have access in several units with high access to such facilities (>80%) in 2017. More than 253 000 people did not have access to sewer or septic sanitation facilities in the city of Harare, Zimbabwe, despite 88·6% (95% UI 87·2-89·7) access overall. Many units were able to transition from the least safe facilities in 2000 to safe facilities by 2017; for units in which populations primarily practised open defecation in 2000, 686 (95% UI 664-711) of the 1830 (1797-1863) units transitioned to the use of improved sanitation. Geographical disparities in access to improved water across units decreased in 76·1% (95% UI 71·6-80·7) of countries from 2000 to 2017, and in 53·9% (50·6-59·6) of countries for access to improved sanitation, but remained evident subnationally in most countries in 2017. Our estimates, combined with geospatial trends in diarrhoeal burden, identify where efforts to increase access to safe drinking water and sanitation facilities are most needed. By highlighting areas with successful approaches or in need of targeted interventions, our estimates can enable precision public health to effectively progress towards universal access to safe water and sanitation. Bill & Melinda Gates Foundation.

Background: Skilled assistance during pregnancy and childbirth is one of the key interventions in reducing maternal morbidity and mortality. But studies have shown that many women across the globe experience disrespectful and abusive treatment during labor and childbirth in institutions, which forms an important barrier to improving skilled care utilization and improving maternal health outcomes. Although there are few studies done in Ethiopia, information on the status of respectful maternity care (RMC) among women during childbirth at health institutions in the West-Shewa zone is lacking. Therefore, the study aimed to assess RMC during Labor and Childbirth and associated factors among women who gave-birth at health-institutions in the West Shewa zone, Central Ethiopia. Methods: Cross-sectional study was conducted at Health institutions in the West Shewa zone, Oromia region, Central Ethiopia. A systematic random sampling technique that uses women’s delivery registration number was used to collect data. Data was collected through an exit-interview. Both bivariate and multivariable logistic regressions were used to identify associated factors. Results: From a total of 567 women who fully responded, only 35.8% received RMC. From categories of RMC, 76.5% of the woman is protected from physical harm/ill-treatment and 89.2% received equitable care free of discrimination. But, only 39.3% of woman’s right to information, informed consent and preferences were protected. Giving birth at health center (AOR:5.44), discussion on the place of delivery (AOR:4.42), daytime delivery (AOR:5.56), longer duration of stay (≥ 13 h) (AOR:2.10), involvement in decision-making (AOR:8.24), asking for consent before the procedure(AOR:3.45), current pregnancy unintended (AOR:5.56), the presence of < 3 health-workers during childbirth (AOR:2.23) and satisfied on waiting-time to be seen (AOR:2.08) were found to be significantly associated with RMC. Conclusions: The proportion of RMC during labor and childbirth in the study area was low. Type of institution, discussion during ANC, time of delivery, duration of stay, involvement in decision-making, the number of health workers, waiting time and consent were identified factors. Therefore, giving emphasis to creating awareness of care providers on the standards and categories of RMC, improving care provider-client discussion, monitor and reinforcing accountability mechanisms for health workers to avoid mistreatments during labor and childbirth were recommended.

Objectives: The purpose of this study is to examine the effects of coronavirus disease 2019 pandemic on the prevalence of anxiety, depression, stress, insomnia, and social dysfunction among pregnant and/or lactating women and to measure the global pooled prevalence of mental health effects among these populations in the era of coronavirus disease 2019 pandemic. Methods: Comprehensive literature searching was conducted and studies published from 1 January 2020 to 30 September 2020 reporting the prevalence of anxiety, depression; stress, insomnia, and social dysfunctions were included. The pooled prevalence of anxiety, depression, stress, insomnia, and social dysfunctions was estimated using a random-effect model. In this study, all statistical analyses were performed using STATA (version 15) software. Results: There were a total of 19 studies included in the meta-analysis, of which 16, 14, 4, 2, and 2 studies were included in computing the pooled prevalence of anxiety, depression, stress, insomnia, and social dysfunction, respectively. The pooled prevalence of anxiety was 33% (95% confidence interval: 50%−61%), with significant heterogeneity between studies (I² = 99.68%, p = 0.001). The pooled prevalence of depression was 27% (95% confidence interval: 9%−45%), with remarkable heterogeneity between studies (I² = 99.29%, p = 0.001). Likewise, the pooled prevalence of stress was 56% (95% confidence interval: 30.07%−82.22%), with significant heterogeneity between studies (I² = 98.8%, p = 0.0001). The pooled prevalence of social dysfunction was 24.3% (95% confidence interval: 13.41%−62.03%), with significant heterogeneity between studies (I² = 97.5%, p = 0.0001) and finally, the pooled prevalence of insomnia was 33.53% (95% confidence interval: 3.05%−64.0%), with significant heterogeneity between studies (I² = 99.6%, p = 0.0001). Conclusions: In this study, the mental health effects of the COVID-19 pandemic among pregnant and lactating women were found to be significant. Stress was the most common mental health problem in these population groups. Therefore, policymakers and health planners should give great emphasis to addressing maternal mental well-being during and after this global health crisis. Maternal mental health must be one of the international and national public health priority agendas to enhance the well-being of pregnant and lactating women. Besides, giving psychological support to pregnant and lactating women may reduce the long-term negative effects of this pandemic.

The reproductive decisions made by PLHIV and their partners have a long-term consequences for the survival and wellbeing of their families and a society at large. Evidence relating to fertility and reproductive intentions among PLHIV is rare, despite the fact that more than 80% of PLHIV are of reproductive age. The aim of the study was to determine fertility desire and associated factors among PLHIV attending ART clinic in Fitche Hospital. A facility based cross-sectional study design with both quantitative and qualitative data collection methods was employed from February21-April 20th, 2013. The study participants were selected by using simple random sampling technique. A pre- tested structured questionnaire was used to collect data. Both bivariate and multivariate logistic regressions were used to identify associated factors. The prevalence of fertility desire of PLHIV in Fitche Hospital was 133(39.1%) with 95% CI of (34.3% -44.3%). This study identified that factors found to be associated with fertility desire were: - Age from 18-29y [AOR = 3.95, 95% CI: 1.69 - 9.22) and 30-39y (AOR = 3.91, 95% CI: 1.90 -8.19)], marital length ≤4y [AOR = 5.49, 95% CI: 2.08-14.51), within 5-9y (AOR = 4.80, 95% CI: 2.14-10.78) and 10-14y (AOR = 2.82, 95% CI: 1.19 -6.63], had not biological living children [AOR = 11.42, 95% CI: 3.27-39.90) and had more than one child (AOR = 3.67, 95% CI: 1.27-10.62)], community pressure [AOR = 3.67, 95% CI: 1.54-8.70], partner fertility [AOR = 7.18, 95% CI: 3.39-15.22)], duration HIV diagnosis≤1y[AOR = 4.99, 95% CI: 1.91-13.09], disclosed HIV serostatus [AOR = 3.9, 95% CI: 1.37-11.10] and partner sero-difference [AOR = 2.05, 95% CI: 1.01- 4.15] were some of the factors significantly associated with fertility desire. The prevalence of fertility desire of PLHIV in the study area was 39.1%. In this study:- age, marital length, biological child, partner, community pressure, duration of HIV-diagnosis, discordant HIV-test and disclosure of HIV-serostatus to partner were demonstrated to have more associations with fertility desire among PLHIV, therefore, these factors should be emphatically considered during PLHIV's reproductive health program development.