Application of the Intergovernmental Panel on Climate Change risk framework to estimate risk of weather-related diarrheal disease in Western Kenya

Identifying the underlying climate sensitive health risk factors is critical to establish actionable strategies to mitigate the health impacts of climate change. This is particularly true within low- and middle-income countries (LMICs) with limited resources, heterogenous climates, and varying degrees of social vulnerability. In Kenya, diarrheal disease is one of the leading causes of death and identifying climate sensitive risk factors is critical. This research aims to characterize factors associated with a high risk of diarrheal disease in western Kenya by developing a risk index based on the Intergovernmental Panel on Climate Change (IPCC) risk framework. We developed a conceptual model of risk factors based on prior research with risk factors grouped into the four components of the IPCC risk framework: hazard, exposure, and vulnerability (which is comprised of sensitivity and adaptive capacity). We obtained 30 data elements corresponding to the four components for 99 sub-counties in 14 western Kenya counties. We conducted principal component analysis (PCA) to develop a risk index for diarrheal disease. Our risk index aligns with epidemiological literature, including precipitation, temperature, water sanitation and hygiene (WASH), sensitive populations, education, poverty, and health facilities. Within counties, we found that the modeled risk varied substantially, and a geographic cluster of high-risk sub-counties was identified. Further research is needed to determine whether modeled risk proves to be consistent with observed risk of diarrheal disease in relation to weather variables. Further work is needed to determine whether this approach is useful to policymakers.

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Publication Details

Journal
PLOS Climate
Published
2025-08-08
DOI
https://doi.org/10.1371/journal.pclm.0000549
Citations
1
Primary Topic
Climate Change and Health Impacts
Type
article
Field-Weighted Citation Impact
1.20
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article

Application of the Intergovernmental Panel on Climate Change risk framework to estimate risk of weather-related diarrheal disease in Western Kenya

Megan Kowalcyk, Samuel Dorevitch, Honghyok Kim, Aloyce Odhiambo Rakinyo
1 citations
PLOS Climate
Climate Change and Health Impacts
1.20
article

Application of the Intergovernmental Panel on Climate Change risk framework to estimate risk of weather-related diarrheal disease in Western Kenya

Megan Kowalcyk, Samuel Dorevitch, Honghyok Kim, Aloyce Odhiambo Rakinyo
article en
1 citations

Abstract

Identifying the underlying climate sensitive health risk factors is critical to establish actionable strategies to mitigate the health impacts of climate change. This is particularly true within low- and middle-income countries (LMICs) with limited resources, heterogenous climates, and varying degrees of social vulnerability. In Kenya, diarrheal disease is one of the leading causes of death and identifying climate sensitive risk factors is critical. This research aims to characterize factors associated with a high risk of diarrheal disease in western Kenya by developing a risk index based on the Intergovernmental Panel on Climate Change (IPCC) risk framework. We developed a conceptual model of risk factors based on prior research with risk factors grouped into the four components of the IPCC risk framework: hazard, exposure, and vulnerability (which is comprised of sensitivity and adaptive capacity). We obtained 30 data elements corresponding to the four components for 99 sub-counties in 14 western Kenya counties. We conducted principal component analysis (PCA) to develop a risk index for diarrheal disease. Our risk index aligns with epidemiological literature, including precipitation, temperature, water sanitation and hygiene (WASH), sensitive populations, education, poverty, and health facilities. Within counties, we found that the modeled risk varied substantially, and a geographic cluster of high-risk sub-counties was identified. Further research is needed to determine whether modeled risk proves to be consistent with observed risk of diarrheal disease in relation to weather variables. Further work is needed to determine whether this approach is useful to policymakers.

PLOS ClimateVol. 4(8)
Chicago Department of Public Health (US), Illinois Institute of Technology (US), University of Illinois Chicago (US), Kenya AIDS Vaccine Initiative (KE)
No poverty
Openalex Percentile: Top 19%
Climate Change and Health Impacts
1.20
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