Spatial scale of tuberculosis transmission in Lima, Peru

Chuan-Chin Huang, Letizia Trevisi, Mercedes C. Becerra, Roger I. Calderón, Carmen C. Contreras, Judith Jimenez, Leonid W. Lecca, Rosa M. Yataco, Zibiao Zhang and Megan B. Murray
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Chuan-Chin Huang: a Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA 02115;; b Division of Global Health Equity, Brigham and Women’s Hospital, Boston, MA 02115;
Letizia Trevisi: a Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA 02115;
Mercedes C. Becerra: a Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA 02115;; b Division of Global Health Equity, Brigham and Women’s Hospital, Boston, MA 02115;
Roger I. Calderón: c Socios En Salud, Lima 15001, Peru;
Carmen C. Contreras: c Socios En Salud, Lima 15001, Peru;; d Harvard Global Health Institute, Cambridge, MA 02138
Judith Jimenez: c Socios En Salud, Lima 15001, Peru;
Leonid W. Lecca: a Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA 02115;; c Socios En Salud, Lima 15001, Peru;
Rosa M. Yataco: c Socios En Salud, Lima 15001, Peru;
Zibiao Zhang: b Division of Global Health Equity, Brigham and Women’s Hospital, Boston, MA 02115;
Megan B. Murray: a Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA 02115;; b Division of Global Health Equity, Brigham and Women’s Hospital, Boston, MA 02115;

Proceedings of the National Academy of Sciences, 2022, vol. 119, issue 45, e2207022119

Abstract: Understanding the mechanisms of spatial heterogeneity in tuberculosis (TB) transmission may enhance the effectiveness of spatially targeted interventions. In this work, we integrated whole-genome sequences of 2,712 Mycobacterial tuberculosis isolates and geographic coordinates of the patients’ residences in a large urban catchment area in Lima, Peru, to clarify if local transmission is the primary driver of high rates of TB disease in spatially distinct areas. We find that spatially specific TB incidence does not correlate closely to the frequency of local transmission. This suggests that understanding the causes that lead to spatially distinct TB hotspots is necessary for spatially targeting interventions.

Keywords: tuberculosis; genomic epidemiology; transmission; spatial analysis; whole-genome sequence (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:nas:journl:v:119:y:2022:p:e2207022119

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