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Participation in population-based eye health surveys is lower but more gender-balanced in high- compared to low- and middle-income countries
No full textPopulation-based eye health surveys are an important source of evidence describing the eye health needs of a population, although differences in participation rates between population groups may lead to response bias. In some high-income settings, participation in surveys has decreased over time, although whether this has occurred for eye health surveys is unclear. The aim of this study was to compare participation in population-based eye health surveys conducted over the previous ~20 years between country income levels and different population sub-groups. The data published here was used in the analysis and reporting of the study results
Data set for: "Who has never tested for HIV following a community-based distribution of HIV self-test kits? Establishing associated predictors in rural Zimbabwe"
No full textIn 2023, Zimbabwe attained the 95-95-95 UNAIDS targets. However, some sub-populations are substantially less likely to have tested for HIV. Knowledge of characteristics of these groups is crucial in designing interventions that address their needs. We estimated the prevalence and predictors of “never-having tested for HIV” status following community-based distribution of HIV self-test kits in rural Zimbabwe. We analysed data from a household survey conducted as part of a cluster randomised trial comparing two community-based HIVST distribution models in six rural districts in 2018-19. HIVST distribution was conducted over one month, followed by the household survey after four months. Survey participants aged 16 years and above completed self-administered Audio-Computer-Assisted-Survey-Instrument. Unadjusted and adjusted mixed effect logistic regression was used to identify factors associated with never-having-tested for HIV. Of the 11,076 analysed participants, the median (IQR) age was 32(22,45) years and 54.5% were female. Seventeen percent of participants had never tested for HIV, primarily due to a perceived lack of HIV risk (50%). Never testers were more likely to be: men (adjusted odds ratio [AOR]=1.69;95%Confidence Interval [CI]=1.52–1.87); younger (16-24 years (AOR=3.84; 95%CI=3.23-4.55), 25-34 years (AOR=1.30; 95%CI=1.07–1.59)) and at-least 45 years old: (AOR=2.17; 95%CI=1.80-2.60); having lower levels of education: primary/less (AOR=1.68; 95%CI=1.46-1.98), some secondary (AOR=1.62; 95%CI=1.42-1.86) compared to at least complete secondary, unemployed (AOR=1.39; 95%CI=1.15–1.69); never married (AOR=3.48; 95%CI=2.98-4.07) and previously married (AOR=1.41; 95%CI=1.19-1.68) compared to currently married; having stigmatizing beliefs (AOR=1.42; 95%CI=1.24-1.62); having: low (AOR=1.52, 95%CI=1.32-1.74) and medium (OR=1.53, 95%CI=1.33-1.75) levels of treatment optimism; not participating in household decisions (AOR=1.96; 95%CI=1.70-2.27) and not reporting condomless sex (AOR=2.58; 95%CI=2.31-2.87). The Ministry of Health need to scale up acceptable and targeted interventions to improve HIV testing in different subpopulations which includes but not limited to young people, unmarried, unemployed, those with stigmatizing beliefs and those not participating in decision making
Application Data Germany - Fine Grid Spatial Interaction Matrices
No full textData consisting of number of weekly influenza cases by NUTS-3 district in Germany between 2001 and 2020, population by NUTS-3 district in Germany between 2000 and 2020, LKGermany Shapefiles, and Parameters of fitted distributions
Community Resilience to Cholera Epidemics in Uganda: A Realist-informed review of Vulnerability and Intervention mechanisms
No full textThis dataset supports a realist-informed literature review examining mechanisms that contribute to or reduce vulnerability to cholera outbreaks in Uganda. The data were extracted from documents, including peer-reviewed articles, grey literature, and program evaluations. A six-stage data synthesis approach was used, guided by realist evaluation (Pawson & Tilley, 1997) and resilience frameworks (Blanchet et al., 2017).
The dataset includes:
1. An Excel matrix of 31 studies capturing Context–Mechanism–Outcome (CMO) patterns
2. Synthesized CMOC configurations
3. Thematic groupings of resilience and vulnerability mechanisms
References and coding for absorptive, adaptive, and transformative capacities
hstrongman/OSA-narc_CPRD_validation
No full textData management scripts for study validating algorithms identifying diagnosed Obstructive Sleep Apnoea and narcolepsy in coded primary care and linked hospital activity data in England
AndriaMousa/SP-resistance-protective-efficacy-code: v1.1
No full textFirst release of the SP-resistance-protective-efficacy code. Includes all scripts and data required for the analysis underlying the manuscript: "Impact of dhps mutations on sulfadoxine-pyrimethamine protective efficacy and implications for malaria chemoprevention", by Mousa et al. (2025)
Data for "Life cycle assessment of a clinical malaria trial in Mali reveals large environmental impacts of electricity consumption and international travel"
No full textDataset supporting the publication, "Life cycle assessment of a clinical malaria trial in Mali reveals large environmental impacts of electricity consumption and international travel". It consists of 14 tables that cover (1) consumables, (2) electricity, (3) energy consumption Mali, (4) travel, (5) shipments, (6) tree maps, (7) sensitivity analysis, (8) uncertainty analysis, (9) SimaPro Output, (10) Endpoints, (11) fig impact categories, (12) RNA stability PfMGET, (13) RNA stability CCp4, and (14) temperature controlled box
FSW lived experiences with PrEP adherence themes
No full textBACKGROUND: Female sex workers (FSWs) are at an elevated risk of HIV infection with an eight-fold risk of HIV infection. In countries like Zimbabwe, FSWs have an HIV incidence of around 10.2%. With this elevated risk, the World Health Organization has prioritized Female sex workers (FSWS) for PrEP – an HIV prevention option taken as a daily pill during periods of risk but, FSWs continue to experience challenges with daily PrEP adherence due to daily dosing, related side effects, ARV stigma and low risk perception. This article presents the FSWs’ lived experiences with PrEP adherence in Zimbabwe. METHODS: We purposively identified twenty FSWs and conducted individual interviews to understand FSW lived experiences with PrEP adherence. We applied Colaizzi’s seven steps of phenomenological analysis to develop the themes. FINDINGS: Three main themes emerged, namely positive experiences with PrEP adherence, negative experiences with PrEP adherence and the meaning attached to PrEP adherence. The positive experiences theme had four sub-themes as, overcoming PrEP-related forgetfulness, overcoming mobility-related PrEP disruptions, overcoming COVID-19 pandemic-related PrEP experiences and overcoming PrEP-related side effects. The negative experiences theme had two sub-themes including, enduring GBV and stigma associated with PrEP use and, COVID-19-related disruptions to PrEP adherence. The third emerging them was on the meaning attached to PrEP adherence. This theme had one sub-theme on PrEP adherence as a survival strategy. CONCLUSION: Whilst FSWs reported both positive and negative experiences with PrEP adherence, it is important that FSWs used the meaning they attached to these experiences to take control of their lives and be more determined to use PrEP adherence for survival and protection from HIV. Based on these findings, we recommend close monitoring and support to promote adherence, minimize PrEP discontinuity and promote positive lived experiences with PrEP adherence
Code and data for "Bundling Measures for Food Systems Transformation: a global, multimodel assessment"
No full textThis repository contains the code and data used in our paper "Bundling Measures for Food Systems Transformation: a global, multimodel assessment". This includes Jupyter Notebooks to generate the main and supplementary figures in the paper, generate Excel sheets that summarize the dataset, and an outline of the data processing pipeline used in the paper