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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 McIntoshHelen E JenkinsLaura F WhiteMarinus BarnardDana R ThomsonTania DolbyJohn SimpsonElizabeth M StreicherMary B KleinmanElizabeth J RaganPaul D van HeldenMegan B MurrayRobin M WarrenKaren Rita Jacobson
Published in: PLoS medicine (2018)
Our maps reveal striking spatial and temporal heterogeneity in RR-tuberculosis percentages across this province. We demonstrate the potential to monitor RR-tuberculosis spatially and temporally with routinely collected laboratory data, enabling improved resource targeting and more rapid locally appropriate interventions.
Keyphrases
  • south africa
  • mycobacterium tuberculosis
  • pulmonary tuberculosis
  • hiv positive
  • electronic health record
  • hiv aids
  • single cell
  • big data
  • adverse drug
  • data analysis
  • machine learning
  • drug delivery
  • artificial intelligence