Statistically significant hot spots of risk (made using ArcGIS Pro 3.1.0 2023) shapefile from humanitarian data exchange.

<p>Available from <a href="https://data.humdata.org/dataset/cod-ab-ken" target="_blank">https://data.humdata.org/dataset/cod-ab-ken</a>. Base map from Esri. Available from <a href="https://www.arcgis.com/home/item.html?id=7dc6cea0b1764a1f9af2e679f642f0f5...

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Bibliographic Details
Main Author:	Megan Kowalcyk (19785948) (author)
Other Authors:	Honghyok Kim (9939619) (author), Aloyce Odhiambo Rakinyo (22022151) (author), Samuel Dorevitch (1802782) (author)
Published:	2025
Subjects:	Medicine Biotechnology Ecology Cancer Environmental Sciences not elsewhere classified Mathematical Sciences not elsewhere classified xlink "> identifying establish actionable strategies characterize factors associated adaptive capacity ). risk factors grouped risk factors based risk index based risk index aligns related diarrheal disease ipcc risk framework risk index diarrheal disease risk framework risk sub observed risk estimate risk water sanitation varying degrees limited resources leading causes intergovernmental panel income countries including precipitation heterogenous climates health impacts health facilities geographic cluster four components epidemiological literature determine whether conceptual model climate change 99 sub
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Statistically significant hot spots of risk (made using ArcGIS Pro 3.1.0 2023) shapefile from humanitarian data exchange.

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