Predicting the global potential distribution of two major vectors of Rocky Mountain Spotted Fever under conditions of global climate change
Rocky Mountain spotted fever is a tick-borne disease that is highly dangerous but often overlooked by the public. To prevent the spread of the disease, it is important to understand the distribution patterns of its vectors’ suitable areas. This study aims to explore the potential global suitability...
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Online Access: | http://dx.doi.org/10.1371/journal.pntd.0011883 https://dx.plos.org/10.1371/journal.pntd.0011883 |
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crplos:10.1371/journal.pntd.0011883 2024-09-15T17:48:04+00:00 Predicting the global potential distribution of two major vectors of Rocky Mountain Spotted Fever under conditions of global climate change Ji, Haoqiang Wei, Xiaohui Ma, Delong Wang, Xiaoxu Liu, Qiyong Guo, Wen-Ping National Key Research and Development Program of China 2024 http://dx.doi.org/10.1371/journal.pntd.0011883 https://dx.plos.org/10.1371/journal.pntd.0011883 en eng Public Library of Science (PLoS) http://creativecommons.org/licenses/by/4.0/ PLOS Neglected Tropical Diseases volume 18, issue 1, page e0011883 ISSN 1935-2735 journal-article 2024 crplos https://doi.org/10.1371/journal.pntd.0011883 2024-07-30T04:12:12Z Rocky Mountain spotted fever is a tick-borne disease that is highly dangerous but often overlooked by the public. To prevent the spread of the disease, it is important to understand the distribution patterns of its vectors’ suitable areas. This study aims to explore the potential global suitability of areas for the vectors of Rocky Mountain spotted fever, including Dermacentor variabilis and Amblyomma cajennense under both historical and future climate scenarios. The study also seeks to investigate the impact of climatic factors on the distribution patterns of these vectors. Data on species distribution were downloaded from the Global Biodiversity Information Facility, Web of Science and PubMed database. The climatic variables were downloaded from WorldClim Global Climate Database. The Maximum Entropy Model was used to evaluate the contribution of monthly precipitation, monthly maximum temperature, monthly minimum temperature, elevation, and nineteen other climatic variables to vector survival, as well as to predict the suitable area for the vectors. We found that D . variabilis is distributed in North America, while A . cajennense is mainly distributed in South America, but all other continents except Antarctica have a suitable distribution. D . variabilis is more likely to survive in temperate regions, and A . cajennense is more likely to survive in tropical zones. D . variabilis is more sensitive to temperature, whereas A . cajennense is sensitive to both temperature and precipitation, and A . cajennense prefers tropical regions with hot and humid characteristics. The high suitable areas of both vectors were almost expanded in the ssp5-8.5 scenario, but not so much in the ssp1-2.6 scenario. Highly suitable areas with vectors survival should be strengthened with additional testing to prevent related diseases from occurring, and other highly suitable areas should be alert for entry and exit monitoring to prevent invasion and colonization of vectors. Article in Journal/Newspaper Antarc* Antarctica PLOS PLOS Neglected Tropical Diseases 18 1 e0011883 |
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English |
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Rocky Mountain spotted fever is a tick-borne disease that is highly dangerous but often overlooked by the public. To prevent the spread of the disease, it is important to understand the distribution patterns of its vectors’ suitable areas. This study aims to explore the potential global suitability of areas for the vectors of Rocky Mountain spotted fever, including Dermacentor variabilis and Amblyomma cajennense under both historical and future climate scenarios. The study also seeks to investigate the impact of climatic factors on the distribution patterns of these vectors. Data on species distribution were downloaded from the Global Biodiversity Information Facility, Web of Science and PubMed database. The climatic variables were downloaded from WorldClim Global Climate Database. The Maximum Entropy Model was used to evaluate the contribution of monthly precipitation, monthly maximum temperature, monthly minimum temperature, elevation, and nineteen other climatic variables to vector survival, as well as to predict the suitable area for the vectors. We found that D . variabilis is distributed in North America, while A . cajennense is mainly distributed in South America, but all other continents except Antarctica have a suitable distribution. D . variabilis is more likely to survive in temperate regions, and A . cajennense is more likely to survive in tropical zones. D . variabilis is more sensitive to temperature, whereas A . cajennense is sensitive to both temperature and precipitation, and A . cajennense prefers tropical regions with hot and humid characteristics. The high suitable areas of both vectors were almost expanded in the ssp5-8.5 scenario, but not so much in the ssp1-2.6 scenario. Highly suitable areas with vectors survival should be strengthened with additional testing to prevent related diseases from occurring, and other highly suitable areas should be alert for entry and exit monitoring to prevent invasion and colonization of vectors. |
author2 |
Guo, Wen-Ping National Key Research and Development Program of China |
format |
Article in Journal/Newspaper |
author |
Ji, Haoqiang Wei, Xiaohui Ma, Delong Wang, Xiaoxu Liu, Qiyong |
spellingShingle |
Ji, Haoqiang Wei, Xiaohui Ma, Delong Wang, Xiaoxu Liu, Qiyong Predicting the global potential distribution of two major vectors of Rocky Mountain Spotted Fever under conditions of global climate change |
author_facet |
Ji, Haoqiang Wei, Xiaohui Ma, Delong Wang, Xiaoxu Liu, Qiyong |
author_sort |
Ji, Haoqiang |
title |
Predicting the global potential distribution of two major vectors of Rocky Mountain Spotted Fever under conditions of global climate change |
title_short |
Predicting the global potential distribution of two major vectors of Rocky Mountain Spotted Fever under conditions of global climate change |
title_full |
Predicting the global potential distribution of two major vectors of Rocky Mountain Spotted Fever under conditions of global climate change |
title_fullStr |
Predicting the global potential distribution of two major vectors of Rocky Mountain Spotted Fever under conditions of global climate change |
title_full_unstemmed |
Predicting the global potential distribution of two major vectors of Rocky Mountain Spotted Fever under conditions of global climate change |
title_sort |
predicting the global potential distribution of two major vectors of rocky mountain spotted fever under conditions of global climate change |
publisher |
Public Library of Science (PLoS) |
publishDate |
2024 |
url |
http://dx.doi.org/10.1371/journal.pntd.0011883 https://dx.plos.org/10.1371/journal.pntd.0011883 |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_source |
PLOS Neglected Tropical Diseases volume 18, issue 1, page e0011883 ISSN 1935-2735 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1371/journal.pntd.0011883 |
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PLOS Neglected Tropical Diseases |
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18 |
container_issue |
1 |
container_start_page |
e0011883 |
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1810288947358597120 |