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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8103515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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