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Spatial clustering of livestock Anthrax events associated with agro-ecological zones in Kenya, 1957–2017

BACKGROUND: Developing disease risk maps for priority endemic and episodic diseases is becoming increasingly important for more effective disease management, particularly in resource limited countries. For endemic and easily diagnosed diseases such as anthrax, using historical data to identify hotsp...

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Autores principales: Nderitu, Leonard M., Gachohi, John, Otieno, Frederick, Mogoa, Eddy G., Muturi, Mathew, Mwatondo, Athman, Osoro, Eric M., Ngere, Isaac, Munyua, Peninah M., Oyas, Harry, Njagi, Obadiah, Lofgren, Eric, Marsh, Thomas, Widdowson, Marc-Alain, Bett, Bernard, Njenga, M. Kariuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890876/
https://www.ncbi.nlm.nih.gov/pubmed/33602160
http://dx.doi.org/10.1186/s12879-021-05871-9
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author Nderitu, Leonard M.
Gachohi, John
Otieno, Frederick
Mogoa, Eddy G.
Muturi, Mathew
Mwatondo, Athman
Osoro, Eric M.
Ngere, Isaac
Munyua, Peninah M.
Oyas, Harry
Njagi, Obadiah
Lofgren, Eric
Marsh, Thomas
Widdowson, Marc-Alain
Bett, Bernard
Njenga, M. Kariuki
author_facet Nderitu, Leonard M.
Gachohi, John
Otieno, Frederick
Mogoa, Eddy G.
Muturi, Mathew
Mwatondo, Athman
Osoro, Eric M.
Ngere, Isaac
Munyua, Peninah M.
Oyas, Harry
Njagi, Obadiah
Lofgren, Eric
Marsh, Thomas
Widdowson, Marc-Alain
Bett, Bernard
Njenga, M. Kariuki
author_sort Nderitu, Leonard M.
collection PubMed
description BACKGROUND: Developing disease risk maps for priority endemic and episodic diseases is becoming increasingly important for more effective disease management, particularly in resource limited countries. For endemic and easily diagnosed diseases such as anthrax, using historical data to identify hotspots and start to define ecological risk factors of its occurrence is a plausible approach. Using 666 livestock anthrax events reported in Kenya over 60 years (1957–2017), we determined the temporal and spatial patterns of the disease as a step towards identifying and characterizing anthrax hotspots in the region. METHODS: Data were initially aggregated by administrative unit and later analyzed by agro-ecological zones (AEZ) to reveal anthrax spatio-temporal trends and patterns. Variations in the occurrence of anthrax events were estimated by fitting Poisson generalized linear mixed-effects models to the data with AEZs and calendar months as fixed effects and sub-counties as random effects. RESULTS: The country reported approximately 10 anthrax events annually, with the number increasing to as many as 50 annually by the year 2005. Spatial classification of the events in eight counties that reported the highest numbers revealed spatial clustering in certain administrative sub-counties, with 12% of the sub-counties responsible for over 30% of anthrax events, whereas 36% did not report any anthrax disease over the 60-year period. When segregated by AEZs, there was significantly greater risk of anthrax disease occurring in agro-alpine, high, and medium potential AEZs when compared to the agriculturally low potential arid and semi-arid AEZs of the country (p < 0.05). Interestingly, cattle were > 10 times more likely to be infected by B. anthracis than sheep, goats, or camels. There was lower risk of anthrax events in August (P = 0.034) and December (P = 0.061), months that follow long and short rain periods, respectively. CONCLUSION: Taken together, these findings suggest existence of certain geographic, ecological, and demographic risk factors that promote B. anthracis persistence and trasmission in the disease hotspots.
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spelling pubmed-78908762021-02-22 Spatial clustering of livestock Anthrax events associated with agro-ecological zones in Kenya, 1957–2017 Nderitu, Leonard M. Gachohi, John Otieno, Frederick Mogoa, Eddy G. Muturi, Mathew Mwatondo, Athman Osoro, Eric M. Ngere, Isaac Munyua, Peninah M. Oyas, Harry Njagi, Obadiah Lofgren, Eric Marsh, Thomas Widdowson, Marc-Alain Bett, Bernard Njenga, M. Kariuki BMC Infect Dis Research Article BACKGROUND: Developing disease risk maps for priority endemic and episodic diseases is becoming increasingly important for more effective disease management, particularly in resource limited countries. For endemic and easily diagnosed diseases such as anthrax, using historical data to identify hotspots and start to define ecological risk factors of its occurrence is a plausible approach. Using 666 livestock anthrax events reported in Kenya over 60 years (1957–2017), we determined the temporal and spatial patterns of the disease as a step towards identifying and characterizing anthrax hotspots in the region. METHODS: Data were initially aggregated by administrative unit and later analyzed by agro-ecological zones (AEZ) to reveal anthrax spatio-temporal trends and patterns. Variations in the occurrence of anthrax events were estimated by fitting Poisson generalized linear mixed-effects models to the data with AEZs and calendar months as fixed effects and sub-counties as random effects. RESULTS: The country reported approximately 10 anthrax events annually, with the number increasing to as many as 50 annually by the year 2005. Spatial classification of the events in eight counties that reported the highest numbers revealed spatial clustering in certain administrative sub-counties, with 12% of the sub-counties responsible for over 30% of anthrax events, whereas 36% did not report any anthrax disease over the 60-year period. When segregated by AEZs, there was significantly greater risk of anthrax disease occurring in agro-alpine, high, and medium potential AEZs when compared to the agriculturally low potential arid and semi-arid AEZs of the country (p < 0.05). Interestingly, cattle were > 10 times more likely to be infected by B. anthracis than sheep, goats, or camels. There was lower risk of anthrax events in August (P = 0.034) and December (P = 0.061), months that follow long and short rain periods, respectively. CONCLUSION: Taken together, these findings suggest existence of certain geographic, ecological, and demographic risk factors that promote B. anthracis persistence and trasmission in the disease hotspots. BioMed Central 2021-02-18 /pmc/articles/PMC7890876/ /pubmed/33602160 http://dx.doi.org/10.1186/s12879-021-05871-9 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Nderitu, Leonard M.
Gachohi, John
Otieno, Frederick
Mogoa, Eddy G.
Muturi, Mathew
Mwatondo, Athman
Osoro, Eric M.
Ngere, Isaac
Munyua, Peninah M.
Oyas, Harry
Njagi, Obadiah
Lofgren, Eric
Marsh, Thomas
Widdowson, Marc-Alain
Bett, Bernard
Njenga, M. Kariuki
Spatial clustering of livestock Anthrax events associated with agro-ecological zones in Kenya, 1957–2017
title Spatial clustering of livestock Anthrax events associated with agro-ecological zones in Kenya, 1957–2017
title_full Spatial clustering of livestock Anthrax events associated with agro-ecological zones in Kenya, 1957–2017
title_fullStr Spatial clustering of livestock Anthrax events associated with agro-ecological zones in Kenya, 1957–2017
title_full_unstemmed Spatial clustering of livestock Anthrax events associated with agro-ecological zones in Kenya, 1957–2017
title_short Spatial clustering of livestock Anthrax events associated with agro-ecological zones in Kenya, 1957–2017
title_sort spatial clustering of livestock anthrax events associated with agro-ecological zones in kenya, 1957–2017
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890876/
https://www.ncbi.nlm.nih.gov/pubmed/33602160
http://dx.doi.org/10.1186/s12879-021-05871-9
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