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Prioritizing interventions for cholera control in Kenya, 2015-2020.

Authors :
Waqo Boru
Shaoming Xiao
Patrick Amoth
David Kareko
Daniel Langat
Ian Were
Mohammad Ali
David A Sack
Elizabeth C Lee
Amanda K Debes
Source :
PLoS Neglected Tropical Diseases, Vol 17, Iss 5, p e0010928 (2023)
Publication Year :
2023
Publisher :
Public Library of Science (PLoS), 2023.

Abstract

Kenya has experienced cholera outbreaks since 1971, with the most recent wave beginning in late 2014. Between 2015-2020, 32 of 47 counties reported 30,431 suspected cholera cases. The Global Task Force for Cholera Control (GTFCC) developed a Global Roadmap for Ending Cholera by 2030, which emphasizes the need to target multi-sectoral interventions in priority cholera burden hotspots. This study utilizes the GTFCC's hotspot method to identify hotspots in Kenya at the county and sub-county administrative levels from 2015 through 2020. 32 of 47 (68.1%) counties reported cholera cases during this time while only 149 of 301 (49.5%) sub-counties reported cholera cases. The analysis identifies hotspots based on the mean annual incidence (MAI) over the past five-year period and cholera's persistence in the area. Applying a MAI threshold of 90th percentile and the median persistence at both the county and sub-county levels, we identified 13 high risk sub-counties from 8 counties, including the 3 high risk counties of Garissa, Tana River and Wajir. This demonstrates that several sub-counties are high level hotspots while their counties are not. In addition, when cases reported by county versus sub-county hotspot risk are compared, 1.4 million people overlapped in the areas identified as both high-risk county and high-risk sub-county. However, assuming that finer scale data is more accurate, 1.6 million high risk sub-county people would have been misclassified as medium risk with a county-level analysis. Furthermore, an additional 1.6 million people would have been classified as living in high-risk in a county-level analysis when at the sub-county level, they were medium, low or no-risk sub-counties. This results in 3.2 million people being misclassified when county level analysis is utilized rather than a more-focused sub-county level analysis. This analysis highlights the need for more localized risk analyses to target cholera intervention and prevention efforts towards the populations most vulnerable.

Details

Language :
English
ISSN :
19352727 and 19352735
Volume :
17
Issue :
5
Database :
Directory of Open Access Journals
Journal :
PLoS Neglected Tropical Diseases
Publication Type :
Academic Journal
Accession number :
edsdoj.4434cd1dd33b4a6b98590bf3f5b49213
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pntd.0010928