Managing data is hard. So many of our partner institutions are under-resourced when it comes to preparing, archiving, sharing and interpreting HIV-related datasets. Crucial datasets often sit on the laptops of local staff in Excel sheets and Word documents, or in large locked-down data warehouses where only a few have the understanding to access it. But data is useless if is not accessible by trusted parties for analysis. UNAIDS has identified the following challenges faced by our local partners: Administrative burden of data management Equipment failure Staff turnover Duplication of requests for data Secure sharing of data Keeping data up-to-date A new software project has been established to tackle these challenges and streamline the data management process... The AIDS Data Repository aims to improve the quality, accessibility and consistency of HIV data and HIV estimates by providing a centralised platform with tools to help countries manage and share their HIV data. The project includes the following features: Schema-based dataset management will help local staff with the process of preparing, validating and archiving key datasets according to the requirements from UNAIDS. Schemas that are designed or approved by UNAIDS determine the design of web forms and validation tools that guide users through the process of uploading essential data. Secure and licensed dataset sharing will give partners confidence that their data should only be used by the parties they trust for the purposes they have agreed. Data access management tools will help organisations understand who has access to use their datasets. Access can be requested, reviewed and granted through the site, but also revoked. This can be done for individual users or for entire organisations. Cloud based archiving and backup of all datasets means that data will not go missing when equipment fails or staff leave. All datasets can be tagged and searched according to their metadata and will be reliably accessible forever. DHIS2 interoperability will enable administrators to share DHIS2 data with all the features and tools provided by the AIDS data repository. Datasets comprising elements automatically pulled from a DHIS2 instance can be added to the site. Periodic pulling of data will ensure that these datasets do not fall out of date. Web-based tools will help administrators configure and monitor the DHIS2 configuration that will likely change over time. Spectrum/Naomi interoperability will streamline the process of preparing and running the Spectrum and HIVE statistical models that are supported by UNAIDS. Web forms and validation tools guide users through the process of preparing the source data sets. These source data sets can then be automatically pulled into the Spectrum and Naomi statistical modelling software tools, which will return the results to the AIDS Data Repository once finished.

This dataset tracks the updates made on the dataset "HIV/AIDS Cases" as a repository for previous versions of the data and metadata.

This dataset tracks the updates made on the dataset "HIV/AIDS Cases" as a repository for previous versions of the data and metadata.

Link Function: information

This dataset tracks the updates made on the dataset "HIV/AIDS testing sites and locator services" as a repository for previous versions of the data and metadata.

Laboratory assays for identifying recent HIV-1 infections are widely used for estimating incidence in cross-sectional population-level surveys in global HIV-1 surveillance. Adequate assay and laboratory performance are required to ensure accurate incidence estimates. The NIAID-supported External Quality Assurance Program Oversight Laboratory (EQAPOL) established a proficiency testing program for the most widely-used incidence assay, the HIV-1 Limiting Antigen Avidity EIA (LAg), with US Centers for Disease Control and Prevention (CDC)-approved kits manufactured by Sedia Biosciences Corporation and Maxim Biomedical. The objective of this program is to monitor the performance of participating laboratories. Four rounds of blinded external proficiency (EP) panels were distributed to up to twenty testing sites (7 North American, 5 African, 4 Asian, 2 South American and 2 European). These panels consisted of ten plasma samples: three blinded well-characterized HIV-1-seropositive samples that were included as replicates and an HIV-negative control. The seropositive samples spanned the dynamic range of the assay and are categorized as either recent or long-term infection. Participating sites performed the assay according to manufacturers’ instructions and completed an online survey to gather information on kit manufacturer, lot of kit used, laboratory procedures and the experience of technicians. On average, fifteen sites participated in each round of testing, with an average of four sites testing with only the Maxim assay, seven testing with only the Sedia assay and five sites utilizing both assays. Overall, the Sedia and Maxim assays yielded similar infection status categorization across the laboratories; however, for most of the nine HIV+ samples tested, there were significant differences in the optical density readouts, ODn (N=8) and OD (N=7), between LAg kit manufacturers (p < 0.05 based on mixed effects models. The EQAPOL LAg program is important for monitoring laboratory performance as well as detecting variations between manufacturers of HIV-1 incidence assays. ... [Read More]

This dataset contains outputs from the simulations accompanying the GitHub repository bartonlab/paper-HIV-latent-reservoir. The GitHub repository contains code for reproducing results described in the manuscript 'Clonal heterogeneity and antigenic stimulation shape persistence of the latent reservoir of HIV'. These data can be used to recreate any of the plots shown in the manuscript. See the GitHub repository for details.

IT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 7.200 NA in 2016. This records a decrease from the previous number of 7.300 NA for 2015. IT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 7.500 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 9.300 NA in 2000 and a record low of 7.200 NA in 2016. IT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Italy – Table IT.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

The GHO data repository is WHO's gateway to health-related statistics for its 194 Member States. It provides access to over 1000 indicators on priority health topics including mortality and burden of diseases, the Millennium Development Goals (child nutrition, child health, maternal and reproductive health, immunization, HIV/AIDS, tuberculosis, malaria, neglected diseases, water and sanitation), non communicable diseases and risk factors, epidemic-prone diseases, health systems, environmental health, violence and injuries, equity among others.

This collection includes only a subset of indicators from the source dataset.

Transcriptome-wide association study of HIV-1 acquisition identifies HERC1 as a susceptibility gene

Abstract: The host genetic factors conferring protection against HIV-1 acquisition, particularly those regulated by common genetic variants, remain elusive. Here, we performed the largest genome-wide association meta-analysis of HIV-1 acquisition, which included 7,303 HIV-1-positive individuals and 587,343 population controls. We identified 25 independent genetic loci with suggestive association, of which one was genome-wide significant within the major histocompatibility complex (MHC) locus. After exclusion of the MHC signal, linkage disequilibrium score regression analyses revealed a SNP heritability of 21%, and genetic correlations with behavioral factors. A transcriptome-wide association study identified 15 susceptibility genes, including HERC1, UEVLD, and HIST1H4K. Convergent evidence from conditional analyses and fine-mapping identified HERC1 downregulation in immune cells as a robust mechanism associated with HIV-1 acquisition. Functional studies on HERC1 and other identified candidates, as well as larger genetic studies, have the potential to further our understanding of the host mechanisms associated with protection against HIV-1.

Content: The file in this repository contains GWAS summary statistics for the HIV-1 meta-analysis and a read me file describing the column labels. Studies included in the meta-analysis (see URLs under "References"): 1) McLaren P.J. et al. (2013). Association Study of Common Genetic Variants and HIV-1 Acquisition in 6,300 Infected Cases and 7,200 Controls. PLOS Pathogens 9, e1003515. 10.1371/journal.ppat.1003515. 2) Johnson E.O. et al. (2015). Novel Genetic Locus Implicated for HIV-1 Acquisition with Putative Regulatory Links to HIV Replication and Infectivity: A Genome-Wide Association Study. PLOS ONE 10, e0118149. 10.1371/journal.pone.0118149. 3) Ben Neale’s group’s UKBB results (data release 3, trait ID 20002_1439 HIV/AIDS). 4) FinnGen (data release 5, trait ID AB1_HIV).

Related content: Code used in manuscript has also been deposited in Figshare, DOI: 10.18742/20343219.

Disclaimer: If you choose to download and analyse these data, you acknowledge that: - These data are provided on an “as-is” basis, and no warranty is provided as to their performance or fitness for any purpose - You and your collaborators are in compliance with all applicable local/state/national/international laws or regulations and institutional policies regarding human subjects and genetics research - You will cite Duarte et al. 2022 in any communications or publications arising directly or indirectly from these data - All data here are released for the benefit of the wider biomedical community for use in the investigation of the genetics of susceptibility to infectious agents and wider genetics research.

Data calculated for State of the Tropics 2014 report from source: World Bank Databank MDG Database, http://databank.worldbank.org/Data/Views/VariableSelection/SelectVariables.aspx?source=Millennium%20Development%20Goals# Data for India sources from WHO Global Health Observatory Data Repository. http://apps.who.int/gho/data/?vid=360#

This repository contains the input data necessary to run simulations for inferring the fitness effects of individual mutations (selection coefficients) from longitudinal HIV and SHIV sequence data.

The associated code for running simulations and analyzing the results is available on GitHub at bartonlab/paper-HIV-coevolution.

The corresponding manuscript describing the methodology and results is available at bioRxiv.

This dataset tracks the updates made on the dataset "Find Ryan White HIV/AIDS Medical Care Providers" as a repository for previous versions of the data and metadata.

This repository contains the data for the analyses presented in the paper Growing gender inequity in HIV infection in Africa: sources and policy implications by M. Monod, A. Brizzi, R. Galiwango, R. Ssekubugu, Y. Chen, X. Xi et al. available in the pre-print https://doi.org/10.1101/2023.03.16.23287351

We thank all contributors, program staff and participants to the Rakai Community Cohort Study; all members of the PANGEA-HIV consortium, the Rakai Health Sciences Program, and CDC Uganda for comments on an earlier version of the manuscript.

We also extend our gratitude to the Imperial College Research Computing Service and the Biomedical Research Computing Cluster at the University of Oxford for providing the computational resources to perform this study. Additionally, we thank the Office of Cyberinfrastructure and Computational Biology at the National Institute for Allergy and Infectious Diseases for data management support; and Zulip for sponsoring team communications through the Zulip Cloud Standard chat app.

All analysis code is available from https://github.com/MLGlobalHealth/phyloSI-RakaiAgeGender.

This repository includes:1. Data file (.csv) that includes all variables included in the analysisWork described in:Sy KTL, Tariq, S. Ramjee, G, et al. Predictors of Antiretroviral Therapy Initiation in eThekwini (Durban), South Africa: Findings from a Prospective Cohort Study. Under review, 2020.

This dataset tracks the updates made on the dataset "AIDS Info" as a repository for previous versions of the data and metadata.

Project Overview Facilities, employees, and patients in health care systems related to human immunodeficiency virus (HIV) care face difficulties when extreme weather events, such as hurricanes in New Orleans, Louisiana (NOLA), become more severe and frequent. By redesigning systems, quality improvement collaboratives (QICs) may be able to mitigate these issues and increase HIV care retention during significant interruptions. This project provided an example of a QIC that was underway to enhance engagement in HIV care at the time of Hurricane Ida in August 2021. Data and Data Collection Overview A semi-structured interview guide was used to conduct nine interviews in NOLA following Hurricane Ida. This study used purposive sampling to recruit and interview key informants (KI), including health department leadership and staff, other QIC Planning Body members, and staff and leaders from participating clinics/agencies. Interviews were conducted between September 2021 and February 2022, approximately 1 to 5 months after Hurricane Ida struck, and 1.5 years since programs had been initiated to integrate community health workers (CHWs) into HIV care engagement efforts. Interview participants were recruited via email by a member of the qualitative evaluation team (EA), a female, trained anthropologist and professor with over 20 years of working in the HIV-related field. All of the participants who were approached agreed to be interviewed. All participants provided verbal informed consent to participate, which was recorded at the outset of the interview, and were offered a $75 gift card to participate. Interviews took place via Zoom and lasted approximately 60-75 minutes. Interviews were audio-recorded and transcribed verbatim. A thematic analysis of the interview transcripts was conducted. A codebook was developed of a priori codes based on implementation outcomes and the interview guide, which focused on understanding participant experiences in the capacity-building initiative. The in-depth interviews about evaluating a quality improvement initiative funded by the Health Resources and Services Administration (HRSA) focused on learning collaboratives and integrating CHWs into agencies and clinics to improve retention in HIV care. Data collection took place shortly following Hurricane Ida, and therefore description of that event as a barrier to implementation and retention is also included. Selection and Organization of Shared Data The data files shared here include all nine deidentified interview transcripts from NOLA. The documentation files shared consist of the original information sheet / consent script used, the interview guide, a Data Narrative and an administrative README file.

Chad TD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 23.400 % in 2021. This records a decrease from the previous number of 24.500 % for 2020. Chad TD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 25.250 % from Dec 2000 (Median) to 2021, with 22 observations. The data reached an all-time high of 25.800 % in 2003 and a record low of 23.400 % in 2021. Chad TD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.4.1 [https://unstats.un.org/sdgs/metadata/].

GlobalData has released its pharma report, “HIV – Current and Future Players”. The report is a vital source of up-to-date information with in-depth analysis on the companies in the rapidly growing HIV Market. The report identifies and analyses the key companies shaping and driving the global HIV market. The report provides insight into the competitive HIV landscape, including new companies entering the market. This report is built using data and information sourced from proprietary databases, primary and secondary and in-house analysis by GlobalData’s team of industry experts. Read More

Factors associated with interruption in HIV treatment among people living with HIV in Nigeria, 2015-2021.