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 1
Figure 1. Spatial distribution of spatiotemporal clusters of rapid diagnostic test–positive cholera cases at the avenue level, Uvira, Democratic Republic of the Congo, 2016−2020. A: 2016, B: 2017, C: 2018, D: 2019, E: 2020, F: 2016—2020. Clusters have a relative risk >1 (p<0.05). The sizes of the light blue circles depict the spatial radius and the numbers of cases are shown inside the circles.
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