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

**Authors:** Ruwan Ratnayake, Jackie Knee, Oliver Cumming, Jaime Mufitini Saidi, Baron Bashige Rumedeka, Flavio Finger, Andrew S. Azman, W. John Edmunds, Francesco Checchi, Karin Gallandat

PMC · DOI: 10.3201/eid3008.231137 · Emerging Infectious Diseases · 2024-08-01

## TL;DR

This study analyzed cholera outbreaks in Uvira, DRC, finding clusters near rivers that align with current intervention zones.

## Contribution

The study identifies spatiotemporal cholera clusters in Uvira and validates existing intervention radii.

## Key findings

- Spatiotemporal clusters of cholera cases were detected near major rivers.
- Zones of increased risk align with radii used for targeted interventions.

## 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.

## Linked entities

- **Diseases:** cholera (MONDO:0015766)

## Full-text entities

- **Diseases:** Cholera (MESH:D002771)

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11286051/full.md

## References

15 references — full list in the complete paper: https://tomesphere.com/paper/PMC11286051/full.md

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Source: https://tomesphere.com/paper/PMC11286051