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Modelling the effects of global climate change on Chikungunya transmission in the 21(st) century
The arrival and rapid spread of the mosquito-borne viral disease Chikungunya across the Americas is one of the most significant public health developments of recent years, preceding and mirroring the subsequent spread of Zika. Globalization in trade and travel can lead to the importation of these vi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5476675/ https://www.ncbi.nlm.nih.gov/pubmed/28630444 http://dx.doi.org/10.1038/s41598-017-03566-3 |
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author | Tjaden, Nils B. Suk, Jonathan E. Fischer, Dominik Thomas, Stephanie M. Beierkuhnlein, Carl Semenza, Jan C. |
author_facet | Tjaden, Nils B. Suk, Jonathan E. Fischer, Dominik Thomas, Stephanie M. Beierkuhnlein, Carl Semenza, Jan C. |
author_sort | Tjaden, Nils B. |
collection | PubMed |
description | The arrival and rapid spread of the mosquito-borne viral disease Chikungunya across the Americas is one of the most significant public health developments of recent years, preceding and mirroring the subsequent spread of Zika. Globalization in trade and travel can lead to the importation of these viruses, but climatic conditions strongly affect the efficiency of transmission in local settings. In order to direct preparedness for future outbreaks, it is necessary to anticipate global regions that could become suitable for Chikungunya transmission. Here, we present global correlative niche models for autochthonous Chikungunya transmission. These models were used as the basis for projections under the representative concentration pathway (RCP) 4.5 and 8.5 climate change scenarios. In a further step, hazard maps, which account for population densities, were produced. The baseline models successfully delineate current areas of active Chikungunya transmission. Projections under the RCP 4.5 and 8.5 scenarios suggest the likelihood of expansion of transmission-suitable areas in many parts of the world, including China, sub-Saharan Africa, South America, the United States and continental Europe. The models presented here can be used to inform public health preparedness planning in a highly interconnected world. |
format | Online Article Text |
id | pubmed-5476675 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54766752017-06-23 Modelling the effects of global climate change on Chikungunya transmission in the 21(st) century Tjaden, Nils B. Suk, Jonathan E. Fischer, Dominik Thomas, Stephanie M. Beierkuhnlein, Carl Semenza, Jan C. Sci Rep Article The arrival and rapid spread of the mosquito-borne viral disease Chikungunya across the Americas is one of the most significant public health developments of recent years, preceding and mirroring the subsequent spread of Zika. Globalization in trade and travel can lead to the importation of these viruses, but climatic conditions strongly affect the efficiency of transmission in local settings. In order to direct preparedness for future outbreaks, it is necessary to anticipate global regions that could become suitable for Chikungunya transmission. Here, we present global correlative niche models for autochthonous Chikungunya transmission. These models were used as the basis for projections under the representative concentration pathway (RCP) 4.5 and 8.5 climate change scenarios. In a further step, hazard maps, which account for population densities, were produced. The baseline models successfully delineate current areas of active Chikungunya transmission. Projections under the RCP 4.5 and 8.5 scenarios suggest the likelihood of expansion of transmission-suitable areas in many parts of the world, including China, sub-Saharan Africa, South America, the United States and continental Europe. The models presented here can be used to inform public health preparedness planning in a highly interconnected world. Nature Publishing Group UK 2017-06-19 /pmc/articles/PMC5476675/ /pubmed/28630444 http://dx.doi.org/10.1038/s41598-017-03566-3 Text en © The Author(s) 2017 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Tjaden, Nils B. Suk, Jonathan E. Fischer, Dominik Thomas, Stephanie M. Beierkuhnlein, Carl Semenza, Jan C. Modelling the effects of global climate change on Chikungunya transmission in the 21(st) century |
title | Modelling the effects of global climate change on Chikungunya transmission in the 21(st) century |
title_full | Modelling the effects of global climate change on Chikungunya transmission in the 21(st) century |
title_fullStr | Modelling the effects of global climate change on Chikungunya transmission in the 21(st) century |
title_full_unstemmed | Modelling the effects of global climate change on Chikungunya transmission in the 21(st) century |
title_short | Modelling the effects of global climate change on Chikungunya transmission in the 21(st) century |
title_sort | modelling the effects of global climate change on chikungunya transmission in the 21(st) century |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5476675/ https://www.ncbi.nlm.nih.gov/pubmed/28630444 http://dx.doi.org/10.1038/s41598-017-03566-3 |
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