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Methods used in the spatial analysis of tuberculosis epidemiology: a systematic review.

Debebe ShawenoMalancha KarmakarKefyalew Addis AleneRomain RagonnetArchie Ca ClementsJames M TrauerJustin T DenholmEmma S McBryde
Published in: BMC medicine (2018)
A range of spatial analysis methodologies has been employed in divergent contexts, with all studies demonstrating significant heterogeneity in spatial TB distribution. Future studies are needed to define the optimal method for each context and should account for unreported cases when using notification data where possible. Future studies combining genotypic and geospatial techniques with epidemiologically linked cases have the potential to provide further insights and improve TB control.
Keyphrases
  • mycobacterium tuberculosis
  • case control
  • current status
  • single cell
  • risk assessment
  • big data
  • machine learning
  • pulmonary tuberculosis
  • human health
  • climate change
  • deep learning
  • hiv infected