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Volume 27, Number 3—March 2021
Research

Population-Based Geospatial and Molecular Epidemiologic Study of Tuberculosis Transmission Dynamics, Botswana, 2012–2016

Nicola M. ZetolaComments to Author , Patrick K. Moonan, Eleanor Click, John E. Oeltmann, Joyce Basotli, Xiao-Jun Wen, Rosanna Boyd, James L. Tobias, Alyssa Finlay1, and Chawangwa Modongo1
Author affiliations: University of Pennsylvania Partnership, Philadelphia, Pennsylvania, USA (N.M. Zetola, C. Modongo); Centers for Disease Control and Prevention, Atlanta, Georgia, USA (P.K. Moonan, E. Click, J.E. Oeltmann, J. Basotli, X.-J. Wen, R. Boyd, J.L. Tobias, A. Finlay)

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Figure 3

Annualized estimated TB incidence with the most probable localized transmission events superimposed, Botswana, 2012–2016. A) Gaborone; B) Ghanzi District. Shown are areas with most probable clusters identified by using spatial scan statistics (discrete Poisson) for 10 major clusters in Gaborone and Ghanzi (black circles). Data are superimposed on the inverse distance weighted map of annualized incidence of TB patients by neighborhood. TB, tuberculosis.

Figure 3. Annualized estimated TB incidence with the most probable localized transmission events superimposed, Botswana, 2012–2016. A) Gaborone; B) Ghanzi District. Shown are areas with most probable clusters identified by using spatial scan statistics (discrete Poisson) for 10 major clusters in Gaborone and Ghanzi (black circles). Data are superimposed on the inverse distance weighted map of annualized incidence of TB patients by neighborhood. TB, tuberculosis.

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1These senior authors contributed equally to this article.

Page created: December 03, 2020
Page updated: February 21, 2021
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