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fig-ConcIndex.R

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indexcodes.txt

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indexcodes.txt

http://eprints.org/relation/isVersionOf https://datacompass.lshtm.ac.uk/id/document/12335 http://eprints.org/relation/isVolatileVersionOf https://datacompass.lshtm.ac.uk/id/document/12335 http://eprints.org/relation/isIndexCodesVersionOf https://datacompass.lshtm.ac.uk/id/document/12335 indefinite Generate index codes conversion from Text to indexcodes archive 320 disk0/00/00/23/73 2022-02-10 16:29:46 2022-03-25 10:33:31 2022-02-10 16:29:46 data_collection show Foster Nicola 0000-000-4630-6243 TRUE e2a20e18374a6e82819a1480461905c8 Nguyen Hai V 0000-0002-1547-6541 FALSE 76520a147d8fe4259107a3d64de7ca81 Nguyen Nhung V FALSE 57aa257aee95b389915cd3f08be285ea Nguyen Hoa B FALSE Cobelens Frank 0000-0002-4367-1133 FALSE 6688d94ba2554e7a11f701597286fa08 Tiemersma Edine W FALSE Quaife Matthew 0000-0001-9291-1511 TRUE a5393e85fbabce88a78f04ca2379bbf4 Houben Rein 0000-0003-4132-7467 TRUE 258a983913d8a40044bb659ae2ebe8b7 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 EPID Viet Nam Tuberculosis Equity Social determinants R code and STATA DO files written and used to construct an individual-level analytical dataset from two consecutive nationally representative surveys conducted in Viet Nam in 2007 and 2017. The source datasets can be requested from the Viet Nam National Lung hospital by e-mailing bvptw@bvptw.org. Code and accompanying files are made available to support a paper, titled “Social determinants of the changing tuberculosis prevalence in Viet Nam: analysis of population-level cross-sectional studies” (This is in-development at the time of writing). 2022-02-10 completed London School of Hygiene & Tropical Medicine 10.17037/DATA.00002373 Software Viet Nam National Tuberculosis Programme XTBC TB modelling group SelfAdministeredQuestionnaire.FixedForm public London, United Kingdom H2020 European Research Council TBornotTB Software R code and Stata DO file 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. 757699 en https://www.scielosp.org/article/bwho/2010.v88n4/273-280/ paper https://doi.org/10.1371/journal.pone.0232142 paper https://doi.org/10.3201/eid2703.204253 paper https://researchonline.lshtm.ac.uk/id/eprint/4665050 TBornotTB H2020 European Research Council 757699 https://doi.org/10.13039/100010663 2022-02-10