Data for: Antenatal versus general population HIV prevalence in Siaya, Western Kenya
A tabular dataset that brings together HIV status information from two data sources: [1] a population-based HIV prevalence survey among Siaya HDSS residents performed in 2018, and [2] a surveillance of 13 public antenatal clinics (ANC) located in the HDSS area that was performance between February and November 2018. A subset of ANC records (1,122 out of 1,724 women) were individually linked to the HDSS database.
The dataset was analysed in the PLOS ONE paper “Comparison of programmatic data from antenatal clinics with population-based HIV prevalence estimates in the era of universal test and treat in western Kenya”.
The study is a collaboration between the Kenya Medical Research Institute (KEMRI) and the London School of Hygiene and Tropical Medicine (ALPHA Network & MESH Network). KEMRI is the custodian of the HDSS and ANC data used in the study.
Keywords
HIV prevalence, Human Immunodeficiency Virus, AntenatalItem Type | Dataset |
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Capture method | Interview: Face-to-face |
Collection Period |
From To 2018 2018 |
Date | 13 March 2023 |
Language(s) of written materials | English |
Creator(s) |
Ambia, J |
LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Population Health (2012- ) |
Research Centre | ALPHA Network |
Research Group | Population Studies Group |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom, Kenya Medical Research Institute (KEMRI) |
Date Deposited | 28 Mar 2023 15:59 |
Last Modified | 31 Mar 2023 16:47 |
Publisher | London School of Hygiene & Tropical Medicine |
Explore Further
- ALPHA Network (Collection)
- 10.17037/DATA.00003316 (DOI)
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subject - Data
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lock - Restricted to Request access for all
- Data Sharing Agreement
- Available under Data Sharing Agreement
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info - Dataset associated with paper by Ambia et al
description - text/plain
- folder_info
- 62B
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subject - Documentation
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- Available under Creative Commons: Attribution 4.0
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info - Dataset codebook
html - text/html
- folder_info
- 4kB