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Modeling the Potential Future Distribution of Anthrax Outbreaks under Multiple Climate Change Scenarios for Kenya

The climate is changing, and such changes are projected to cause global increase in the prevalence and geographic ranges of infectious diseases such as anthrax. There is limited knowledge in the tropics with regards to expected impacts of climate change on anthrax outbreaks. We determined the future...

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Autores principales: Otieno, Fredrick Tom, Gachohi, John, Gikuma-Njuru, Peter, Kariuki, Patrick, Oyas, Harry, Canfield, Samuel A., Bett, Bernard, Njenga, Moses Kariuki, Blackburn, Jason K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103515/
https://www.ncbi.nlm.nih.gov/pubmed/33920863
http://dx.doi.org/10.3390/ijerph18084176
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author Otieno, Fredrick Tom
Gachohi, John
Gikuma-Njuru, Peter
Kariuki, Patrick
Oyas, Harry
Canfield, Samuel A.
Bett, Bernard
Njenga, Moses Kariuki
Blackburn, Jason K.
author_facet Otieno, Fredrick Tom
Gachohi, John
Gikuma-Njuru, Peter
Kariuki, Patrick
Oyas, Harry
Canfield, Samuel A.
Bett, Bernard
Njenga, Moses Kariuki
Blackburn, Jason K.
author_sort Otieno, Fredrick Tom
collection PubMed
description The climate is changing, and such changes are projected to cause global increase in the prevalence and geographic ranges of infectious diseases such as anthrax. There is limited knowledge in the tropics with regards to expected impacts of climate change on anthrax outbreaks. We determined the future distribution of anthrax in Kenya with representative concentration pathways (RCP) 4.5 and 8.5 for year 2055. Ecological niche modelling (ENM) of boosted regression trees (BRT) was applied in predicting the potential geographic distribution of anthrax for current and future climatic conditions. The models were fitted with presence-only anthrax occurrences (n = 178) from historical archives (2011–2017), sporadic outbreak surveys (2017–2018), and active surveillance (2019–2020). The selected environmental variables in order of importance included rainfall of wettest month, mean precipitation (February, October, December, July), annual temperature range, temperature seasonality, length of longest dry season, potential evapotranspiration and slope. We found a general anthrax risk areal expansion i.e., current, 36,131 km(2), RCP 4.5, 40,012 km(2), and RCP 8.5, 39,835 km(2). The distribution exhibited a northward shift from current to future. This prediction of the potential anthrax distribution under changing climates can inform anticipatory measures to mitigate future anthrax risk.
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spelling pubmed-81035152021-05-08 Modeling the Potential Future Distribution of Anthrax Outbreaks under Multiple Climate Change Scenarios for Kenya Otieno, Fredrick Tom Gachohi, John Gikuma-Njuru, Peter Kariuki, Patrick Oyas, Harry Canfield, Samuel A. Bett, Bernard Njenga, Moses Kariuki Blackburn, Jason K. Int J Environ Res Public Health Article The climate is changing, and such changes are projected to cause global increase in the prevalence and geographic ranges of infectious diseases such as anthrax. There is limited knowledge in the tropics with regards to expected impacts of climate change on anthrax outbreaks. We determined the future distribution of anthrax in Kenya with representative concentration pathways (RCP) 4.5 and 8.5 for year 2055. Ecological niche modelling (ENM) of boosted regression trees (BRT) was applied in predicting the potential geographic distribution of anthrax for current and future climatic conditions. The models were fitted with presence-only anthrax occurrences (n = 178) from historical archives (2011–2017), sporadic outbreak surveys (2017–2018), and active surveillance (2019–2020). The selected environmental variables in order of importance included rainfall of wettest month, mean precipitation (February, October, December, July), annual temperature range, temperature seasonality, length of longest dry season, potential evapotranspiration and slope. We found a general anthrax risk areal expansion i.e., current, 36,131 km(2), RCP 4.5, 40,012 km(2), and RCP 8.5, 39,835 km(2). The distribution exhibited a northward shift from current to future. This prediction of the potential anthrax distribution under changing climates can inform anticipatory measures to mitigate future anthrax risk. MDPI 2021-04-15 /pmc/articles/PMC8103515/ /pubmed/33920863 http://dx.doi.org/10.3390/ijerph18084176 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Otieno, Fredrick Tom
Gachohi, John
Gikuma-Njuru, Peter
Kariuki, Patrick
Oyas, Harry
Canfield, Samuel A.
Bett, Bernard
Njenga, Moses Kariuki
Blackburn, Jason K.
Modeling the Potential Future Distribution of Anthrax Outbreaks under Multiple Climate Change Scenarios for Kenya
title Modeling the Potential Future Distribution of Anthrax Outbreaks under Multiple Climate Change Scenarios for Kenya
title_full Modeling the Potential Future Distribution of Anthrax Outbreaks under Multiple Climate Change Scenarios for Kenya
title_fullStr Modeling the Potential Future Distribution of Anthrax Outbreaks under Multiple Climate Change Scenarios for Kenya
title_full_unstemmed Modeling the Potential Future Distribution of Anthrax Outbreaks under Multiple Climate Change Scenarios for Kenya
title_short Modeling the Potential Future Distribution of Anthrax Outbreaks under Multiple Climate Change Scenarios for Kenya
title_sort modeling the potential future distribution of anthrax outbreaks under multiple climate change scenarios for kenya
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103515/
https://www.ncbi.nlm.nih.gov/pubmed/33920863
http://dx.doi.org/10.3390/ijerph18084176
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