Use of High-Resolution Geospatial and Genomic Data to Characterize Recent Tuberculosis Transmission, Botswana

Details

• Alternative Title:
  Emerg Infect Dis
• Personal Author:
  Baker, Chelsea R. ; Barilar, Ivan ; de Araujo, Leonardo S. ; Rimoin, Anne W. ; Parker, Daniel M. ; Boyd, Rosanna ; Tobias, James L. ; Moonan, Patrick K. ; Click, Eleanor S. ; Finlay, Alyssa ; Oeltmann, John E. ; Minin, Vladimir N. ; Modongo, Chawangwa ; Zetola, Nicola M. ; Niemann, Stefan ; Shin, Sanghyuk S.
• Description:
  Combining genomic and geospatial data can be useful for understanding Mycobacterium tuberculosis transmission in high-burden tuberculosis (TB) settings. We performed whole-genome sequencing on M. tuberculosis DNA extracted from sputum cultures from a population-based TB study conducted in Gaborone, Botswana, during 2012-2016. We determined spatial distribution of cases on the basis of shared genotypes among isolates. We considered clusters of isolates with ≤5 single-nucleotide polymorphisms identified by whole-genome sequencing to indicate recent transmission and clusters of ≥10 persons to be outbreaks. We obtained both molecular and geospatial data for 946/1,449 (65%) participants with culture-confirmed TB; 62 persons belonged to 5 outbreaks of 10-19 persons each. We detected geospatial clustering in just 2 of those 5 outbreaks, suggesting heterogeneous spatial patterns. Our findings indicate that targeted interventions applied in smaller geographic areas of high-burden TB identified using integrated genomic and geospatial data might help interrupt TB transmission during outbreaks.
• Subjects:
  Bacteria Botswana Genomics Genotype Geographic Heterogeneity Humans Infectious Disease Control Mycobacterium Tuberculosis Outbreaks Research Respiratory Infections Spatial Analysis Tuberculosis Tuberculosis And Other Mycobacteria Use Of High-Resolution Geospatial And Genomic Data To Characterize Recent Tuberculosis Transmission, Botswana Whole-genome Sequencing

  More +
• Source:
  Emerg Infect Dis. 2023; 29(5):977-987
• Pubmed ID:
  37081530
• Pubmed Central ID:
  PMC10124643
• Document Type:
  Journal Article
• Funding:
  R01 AI097045/AI/NIAID NIH HHSUnited States/ ; R01 AI147336/AI/NIAID NIH HHSUnited States/ ; PEPFAR/PEPFARUnited States/
• Volume:
  29
• Issue:
  5
• Collection(s):
  Emerging Infectious Diseases
• Main Document Checksum:
  urn:sha256:3bf357d01b7b14e23e3911067c4476be3315ded4484aef0384169f68bd94772b
• Download URL:
  https://stacks.cdc.gov/view/cdc/129086/cdc_129086_DS1.pdf
• File Type:
  [PDF - 2.69 MB ]