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January 27, 2026One Health OutlookOpen Access

Geospatial modelling for zoonotic disease hotspot identification within a One Health framework: a systematic review

Jabulani Nyengere Willard Mbewe Lucius Malalu Harineck Tholo Allena Laura Njala Takondwa Sembo Sylvester William Kumpolota Richard Lizwe Mvula Chikondi Chisenga Charity Kanyika-Mbewe Alfred Maluwa Fasil Ejigu Eregno

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Key Points

Hotspot identification for zoonotic diseases benefits significantly from geospatial modelling, enhancing disease management strategies.
The systematic review identifies key approaches and tools that improve the accuracy of mapping potential disease hotspots.
Observational analysis across multiple studies highlights the importance of a One Health framework in understanding zoonotic spillover risks.
Findings emphasize the need for better integration of geospatial data to facilitate proactive measures against zoonotic diseases.

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Implication

Systematic review reveals geospatial modelling enhances hotspot identification in zoonotic diseases, indicating improved prevention strategies.

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Cite This Study

Nyengere et al. (2026) studied this question.

synapsesocial.com/papers/69a75a7fc6e9836116a20603 https://doi.org/10.1186/s42522-026-00194-8

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