Use of High-Resolution Geospatial and Genomic Data to Characterize Recent Tuberculosis Transmission, Botswana
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,...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Centers for Disease Control and Prevention
2023-05-01
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| Series: | Emerging Infectious Diseases |
| Subjects: | |
| Online Access: | https://wwwnc.cdc.gov/eid/article/29/5/22-0796_article |
| _version_ | 1797843438393098240 |
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| author | Chelsea R. Baker Ivan Barilar Leonardo S. de Araujo Anne W. Rimoin Daniel M. Parker Rosanna Boyd James L. Tobias Patrick K. Moonan Eleanor S. Click Alyssa Finlay John E. Oeltmann Vladimir N. Minin Chawangwa Modongo Nicola M. Zetola Stefan Niemann Sanghyuk S. Shin |
| author_facet | Chelsea R. Baker Ivan Barilar Leonardo S. de Araujo Anne W. Rimoin Daniel M. Parker Rosanna Boyd James L. Tobias Patrick K. Moonan Eleanor S. Click Alyssa Finlay John E. Oeltmann Vladimir N. Minin Chawangwa Modongo Nicola M. Zetola Stefan Niemann Sanghyuk S. Shin |
| author_sort | Chelsea R. Baker |
| collection | DOAJ |
| 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.
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| first_indexed | 2024-04-09T17:06:16Z |
| format | Article |
| id | doaj.art-4d741a4e927a49c6a8443c138fc4b25d |
| institution | Directory Open Access Journal |
| issn | 1080-6040 1080-6059 |
| language | English |
| last_indexed | 2024-04-09T17:06:16Z |
| publishDate | 2023-05-01 |
| publisher | Centers for Disease Control and Prevention |
| record_format | Article |
| series | Emerging Infectious Diseases |
| spelling | doaj.art-4d741a4e927a49c6a8443c138fc4b25d2023-04-20T14:27:41ZengCenters for Disease Control and PreventionEmerging Infectious Diseases1080-60401080-60592023-05-0129597798710.3201/eid2905.220796Use of High-Resolution Geospatial and Genomic Data to Characterize Recent Tuberculosis Transmission, BotswanaChelsea R. BakerIvan BarilarLeonardo S. de AraujoAnne W. RimoinDaniel M. ParkerRosanna BoydJames L. TobiasPatrick K. MoonanEleanor S. ClickAlyssa FinlayJohn E. OeltmannVladimir N. MininChawangwa ModongoNicola M. ZetolaStefan NiemannSanghyuk S. Shin 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. https://wwwnc.cdc.gov/eid/article/29/5/22-0796_articletuberculosis and other mycobacteriabacteriarespiratory infectionswhole-genome sequencingspatial analysisgeographic heterogeneity |
| spellingShingle | Chelsea R. Baker Ivan Barilar Leonardo S. de Araujo Anne W. Rimoin Daniel M. Parker Rosanna Boyd James L. Tobias Patrick K. Moonan Eleanor S. Click Alyssa Finlay John E. Oeltmann Vladimir N. Minin Chawangwa Modongo Nicola M. Zetola Stefan Niemann Sanghyuk S. Shin Use of High-Resolution Geospatial and Genomic Data to Characterize Recent Tuberculosis Transmission, Botswana Emerging Infectious Diseases tuberculosis and other mycobacteria bacteria respiratory infections whole-genome sequencing spatial analysis geographic heterogeneity |
| title | Use of High-Resolution Geospatial and Genomic Data to Characterize Recent Tuberculosis Transmission, Botswana |
| title_full | Use of High-Resolution Geospatial and Genomic Data to Characterize Recent Tuberculosis Transmission, Botswana |
| title_fullStr | Use of High-Resolution Geospatial and Genomic Data to Characterize Recent Tuberculosis Transmission, Botswana |
| title_full_unstemmed | Use of High-Resolution Geospatial and Genomic Data to Characterize Recent Tuberculosis Transmission, Botswana |
| title_short | Use of High-Resolution Geospatial and Genomic Data to Characterize Recent Tuberculosis Transmission, Botswana |
| title_sort | use of high resolution geospatial and genomic data to characterize recent tuberculosis transmission botswana |
| topic | tuberculosis and other mycobacteria bacteria respiratory infections whole-genome sequencing spatial analysis geographic heterogeneity |
| url | https://wwwnc.cdc.gov/eid/article/29/5/22-0796_article |
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