Viet Nam tuberculosis prevalence survey: equity analysis code

Foster, N, Nguyen, HV, Nguyen, NV, Nguyen, HB, Cobelens, F, Tiemersma, EW, Quaife, M and Houben, R. 2022. Viet Nam tuberculosis prevalence survey: equity analysis code. [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.00002373.

Foster, N, Nguyen, HV, Nguyen, NV, Nguyen, HB, Cobelens, F, Tiemersma, EW, Quaife, M and Houben, R. Viet Nam tuberculosis prevalence survey: equity analysis code [Internet]. London School of Hygiene & Tropical Medicine; 2022. Available from: https://doi.org/10.17037/DATA.00002373.

Foster, N, Nguyen, HV, Nguyen, NV, Nguyen, HB, Cobelens, F, Tiemersma, EW, Quaife, M and Houben, R (2022). Viet Nam tuberculosis prevalence survey: equity analysis code. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002373.

Description

Description of data capture Data collection methods: Cross-sectional surveys using multistage cluster sampling based on the estimated prevalence of TB in the country at the time of the study. One survey was conducted in 2007 and another in 2017. Each cluster was a district. Individuals living in enumerated households were eligible for inclusion in the study if >15 and lived in the household for >3 months (2007 survey) but >2 weeks in the 2017 survey. Participants were screened for TB based on self-reported symptoms and chest radiograph results. Tuberculosis case definition was having had a smear test and at least one positive LJ culture. Data analysis and preparation: An asset index was constructed using principal component analysis (PCA) of size variables (1) the presence of clay floors, (2) wood as fuel for cooking, (3) ownership of a stereo system, (4) television, (5) motorbike, or (6) car. Using the index, households were divided into four groups based on their relative wealth. “Neighbourhood” provincial poverty variables were generated by combining clusters into provinces and imputing provincial poverty values based on data from the World Bank.
Data capture method Questionnaire: Fixed form
Date (Date submitted to LSHTM repository) 10 February 2022
Language(s) of written materials English
Data Creators Foster, N, Nguyen, HV, Nguyen, NV, Nguyen, HB, Cobelens, F, Tiemersma, EW, Quaife, M and Houben, R
LSHTM Faculty/Department Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology
Research Centre TB Centre
Research Group TB modelling group
Participating Institutions London School of Hygiene & Tropical Medicine, London, United Kingdom, KNCV Tuberculosefonds, The Hague, The Netherlands, Amsterdam Institute for Global Health and Development (AIGHD), Amsterdam, Netherlands
Funders
ProjectFunderGrant NumberFunder URI
TBornotTBH2020 European Research Council757699https://doi.org/10.13039/100010663
Date Deposited 10 Feb 2022 16:29
Last Modified 25 Mar 2022 10:33
Publisher London School of Hygiene & Tropical Medicine

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Description: R code – processes cluster information

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Filename: fig-SeP.R

Description: R code – figure Socioeconomic position (fig-SeP)

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Filename: lorenz.do

Description: Stata DO file - Lorenz curve for TB symptoms

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Filename: province.do

Description: Stata DO file – Adds cluster-level poverty indicators

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Filename: data_dictionary.html

Description: Data dictionary for the individual-level analytical dataset created by merging two consecutive nationally representative surveys conducted in Viet Nam in 2007 and 2017

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Description: Viet Nam tuberculosis prevalence survey: equity analysis code – User Guide

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