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Volume 27, Number 4—April 2021
Research

Epidemiologic and Genomic Reidentification of Yaws, Liberia

Joseph W.S. TimothyComments to Author , Mathew A. Beale, Emerson Rogers, Zeela Zaizay, Katherine E. Halliday, Tarnue Mulbah, Romeo K. Giddings, Stephen L. Walker, Nicholas R. Thomson, Karsor K. Kollie1, Rachel L. Pullan1, and Michael Marks1
Author affiliations: London School of Hygiene and Tropical Medicine, London, UK (J.W.S. Timothy, K.E. Halliday, S.L. Walker, N.R. Thomson, R.L. Pullan, M. Marks); Wellcome Sanger Institute, Hinxton, UK (M.A. Beale, N.R. Thomson); Ministry of Health, Monrovia, Liberia (E. Rogers, Z. Zaizay, T. Mulbah, R.K. Giddings, K.K. Kollie); University College London Hospitals NHS Foundation Trust, London (S.L. Walker, M. Marks)

Main Article

Figure 2

Spatial occurrence and accessibility of yaws endemic communities in Maryland County, Liberia. A) All survey cluster centroids (n = 92). Yaws endemic clusters are shown by large gray circles. All survey clusters were classified based on accessibility criteria into high access (pink), low access (blue), and very low access (yellow) using open-source GIS datasets. Black features are OpenStreetMap defined buildings (©OSM Contributors) to provide indication of structural density. B, C) Main urban centers of Maryland County: Pleebo (B) and Harper (C). Inset: Results of divisive hierarchical classification. The axes of this plot show the principal components and proportion of variance explained by each component.

Figure 2. Spatial occurrence and accessibility of yaws endemic communities in Maryland County, Liberia. A) All survey cluster centroids (n = 92). Yaws endemic clusters are shown by large gray circles. All survey clusters were classified based on accessibility criteria into high access (pink), low access (blue), and very low access (yellow) using open-source GIS datasets. Black features are OpenStreetMap defined buildings (©OSM Contributors) to provide indication of structural density. B, C) Main urban centers of Maryland County: Pleebo (B) and Harper (C). Inset: Results of divisive hierarchical classification. The axes of this plot show the principal components and proportion of variance explained by each component.

Main Article

1These senior authors contributed equally to this article.

Page created: January 13, 2021
Page updated: March 18, 2021
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