Spatiotemporal Modeling of Cholera, Uvira, Democratic Republic of the Congo, 2016−2020
Ruwan Ratnayake
, Jackie Knee, Oliver Cumming, Jaime Mufitini Saidi, Baron Bashige Rumedeka, Flavio Finger, Andrew S. Azman, W. John Edmunds, Francesco Checchi
1, and Karin Gallandat
1
Author affiliations: London School of Hygiene & Tropical Medicine, London, UK (R. Ratnayake, J. Knee, O. Cumming, W.J. Edmunds, F. Checchi, K. Gallandat); Ministère de la Santé Publique, Division Provinciale de la Santé du Sud-Kivu, Zone de Santé d’Uvira, Uvira, Democratic Republic of the Congo (J.M. Saidi, B.B. Rumedeka); Epicentre, Paris, France (F. Finger); Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA (A.S. Azman); Geneva University Hospitals, Geneva, Switzerland (A.S. Azman)
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Figure 2
Figure 2. Epidemic curve and cluster persistence in study of spatiotemporal modeling of cholera, Uvira, Democratic Republic of the Congo, 2016−2020. A) Epidemic curve shows weekly numbers of RDT-positive cholera cases based on week of onset and start dates of 26 clusters (red vertical lines). B) Cluster persistence within avenues for RDT-positive cases showing the number of years affected by clustering within avenues and proximity to rivers (blue lines, top to bottom: Kalimabenge River, Mulongwe River, Kanvinvira River). Blue triangles indicate cholera treatment center (top) and unit (bottom). RDT, rapid diagnostic test.
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