Scientific article
OA Policy
English

Spatiotemporal Modeling of Cholera, Uvira, Democratic Republic of the Congo, 2016−2020

Published inEmerging infectious diseases, vol. 30, no. 8, p. 1677-1682
Publication date2024-08
Abstract

We evaluated the spatiotemporal clustering of rapid diagnostic test-positive cholera cases in Uvira, eastern Democratic Republic of the Congo. We detected spatiotemporal clusters that consistently overlapped with major rivers, and we outlined the extent of zones of increased risk that are compatible with the radii currently used for targeted interventions.

Keywords
  • Democratic Republic of the Congo
  • Vibrio cholerae
  • Bacteria
  • Cholera
  • Disease clusters
  • Outbreaks
  • Prevention AND control
  • Spatiotemporal modeling
  • Transmission dynamics
UNIGE research groups
Citation (ISO format)
RATNAYAKE, Ruwan et al. Spatiotemporal Modeling of Cholera, Uvira, Democratic Republic of the Congo, 2016−2020. In: Emerging infectious diseases, 2024, vol. 30, n° 8, p. 1677–1682. doi: 10.3201/eid3008.231137
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Article (Published version)
Identifiers
Journal ISSN1080-6040
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Creation09/07/2026 08:04:15
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Update07/10/2026 14:40:34
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