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Geostatistical modelling of the distribution, risk and burden of podoconiosis in Kenya

BACKGROUND: Understanding and accurately predicting the environmental limits, population at risk and burden of podoconiosis are critical for delivering targeted and equitable prevention and treatment services, planning control and elimination programs and implementing tailored case finding and surve...

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Autores principales: Deribe, Kebede, Sultani, Hadley Matendechero, Okoyo, Collins, Omondi, Wyckliff P, Ngere, Isaac, Newport, Melanie J, Cano, Jorge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890307/
https://www.ncbi.nlm.nih.gov/pubmed/36130407
http://dx.doi.org/10.1093/trstmh/trac092
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author Deribe, Kebede
Sultani, Hadley Matendechero
Okoyo, Collins
Omondi, Wyckliff P
Ngere, Isaac
Newport, Melanie J
Cano, Jorge
author_facet Deribe, Kebede
Sultani, Hadley Matendechero
Okoyo, Collins
Omondi, Wyckliff P
Ngere, Isaac
Newport, Melanie J
Cano, Jorge
author_sort Deribe, Kebede
collection PubMed
description BACKGROUND: Understanding and accurately predicting the environmental limits, population at risk and burden of podoconiosis are critical for delivering targeted and equitable prevention and treatment services, planning control and elimination programs and implementing tailored case finding and surveillance activities. METHODS: This is secondary analysis of a nationwide podoconiosis mapping survey in Kenya. We combined national representative prevalence survey data of podoconiosis with climate and environmental data, overlayed with population figures in a geostatistical modelling framework, to predict the environmental suitability, population living in at-risk areas and number of cases of podoconiosis in Kenya. RESULTS: In 2020, the number of people living with podoconiosis in Kenya was estimated to be 9344 (95% uncertainty interval 4222 to 17 962). The distribution of podoconiosis varies by geography and three regions (Eastern, Nyanza and Western) represent >90% of the absolute number of cases. High environmental suitability for podoconiosis was predicted in four regions of Kenya (Coastal, Eastern, Nyanza and Western). In total, 2.2 million people live in at-risk areas and 4.2% of the total landmass of Kenya is environmentally predisposed for podoconiosis. CONCLUSIONS: The burden of podoconiosis is relatively low in Kenya and is mostly restricted to certain small geographical areas. Our results will help guide targeted prevention and treatment approaches through local planning, spatial targeting and tailored surveillance activities.
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spelling pubmed-98903072023-02-02 Geostatistical modelling of the distribution, risk and burden of podoconiosis in Kenya Deribe, Kebede Sultani, Hadley Matendechero Okoyo, Collins Omondi, Wyckliff P Ngere, Isaac Newport, Melanie J Cano, Jorge Trans R Soc Trop Med Hyg Original Article BACKGROUND: Understanding and accurately predicting the environmental limits, population at risk and burden of podoconiosis are critical for delivering targeted and equitable prevention and treatment services, planning control and elimination programs and implementing tailored case finding and surveillance activities. METHODS: This is secondary analysis of a nationwide podoconiosis mapping survey in Kenya. We combined national representative prevalence survey data of podoconiosis with climate and environmental data, overlayed with population figures in a geostatistical modelling framework, to predict the environmental suitability, population living in at-risk areas and number of cases of podoconiosis in Kenya. RESULTS: In 2020, the number of people living with podoconiosis in Kenya was estimated to be 9344 (95% uncertainty interval 4222 to 17 962). The distribution of podoconiosis varies by geography and three regions (Eastern, Nyanza and Western) represent >90% of the absolute number of cases. High environmental suitability for podoconiosis was predicted in four regions of Kenya (Coastal, Eastern, Nyanza and Western). In total, 2.2 million people live in at-risk areas and 4.2% of the total landmass of Kenya is environmentally predisposed for podoconiosis. CONCLUSIONS: The burden of podoconiosis is relatively low in Kenya and is mostly restricted to certain small geographical areas. Our results will help guide targeted prevention and treatment approaches through local planning, spatial targeting and tailored surveillance activities. Oxford University Press 2022-09-21 /pmc/articles/PMC9890307/ /pubmed/36130407 http://dx.doi.org/10.1093/trstmh/trac092 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Deribe, Kebede
Sultani, Hadley Matendechero
Okoyo, Collins
Omondi, Wyckliff P
Ngere, Isaac
Newport, Melanie J
Cano, Jorge
Geostatistical modelling of the distribution, risk and burden of podoconiosis in Kenya
title Geostatistical modelling of the distribution, risk and burden of podoconiosis in Kenya
title_full Geostatistical modelling of the distribution, risk and burden of podoconiosis in Kenya
title_fullStr Geostatistical modelling of the distribution, risk and burden of podoconiosis in Kenya
title_full_unstemmed Geostatistical modelling of the distribution, risk and burden of podoconiosis in Kenya
title_short Geostatistical modelling of the distribution, risk and burden of podoconiosis in Kenya
title_sort geostatistical modelling of the distribution, risk and burden of podoconiosis in kenya
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890307/
https://www.ncbi.nlm.nih.gov/pubmed/36130407
http://dx.doi.org/10.1093/trstmh/trac092
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