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Influence of setting and diagnostic algorithm on disease severity among people diagnosed with symptomatic and asymptomatic tuberculosis in South Africa: Dataset and code

Domaine:

healthcare

Type de record:

dataset
Créateur:
SitMkwDubGar
Éditeur:
Afr
Hôte:avatar

Visit

doi.orgdata.ahri.org

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Influence of setting and diagnostic algorithm on disease severity among people diagnosed with symptomatic and asymptomatic tuberculosis in South AfricaData and code for "Influence of setting and diagnostic algorithm on disease severity among people diagnosed with symptomatic and asymptomatic tuberculosis in South Africa"

Influence of setting and diagnostic algorithm on disease severity among people diagnosed with symptomatic and asymptomatic tuberculosis in South Africa

Background There is growing interest in tuberculosis (TB) community screening and detection of asymp

Data and code for "Influence of setting and diagnostic algorithm on disease severity among people diagnosed with symptomatic and asymptomatic tuberculosis in South Africa"

Data and code to replicate the analyses in the paper "Influence of setting and diagnostic algorithm