Data from: Using routinely collected laboratory data to identify high rifampicin-resistant tuberculosis burden communities in the Western Cape Province, South Africa: a retrospective spatiotemporal analysis

Avery I. McIntosh, Helen E. Jenkins, Laura F. White, Marinus Barnard, Dana Thompson, Tania Dolby, John Simpson, Elizabeth M. Streicher, Mary B. Kleinman, Elizabeth J. Ragan, Paul D. Van Helden, Megan B. Murray, Robin M. Warren & Karen R. Jacobson
Background: South Africa has the highest tuberculosis incidence globally (781/100,000), with an estimated 4.3% of cases being rifampicin resistant (RR). Control and elimination strategies will require detailed spatial information to understand where drug-resistant tuberculosis exists and why it persists in those communities. We demonstrate a method to enable drug-resistant tuberculosis monitoring by identifying high-burden communities in the Western Cape Province using routinely collected laboratory data. Methods and findings: We retrospectively identified cases of microbiologically confirmed...
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