Seasonal prediction of the distribution of three major malaria vectors in China: Based on an ecological niche model.
Against the backdrop of a global malaria epidemic that remains severe, China has eradicated indigenous malaria but still has to be alert to the risk of external importation. Understanding the distribution of vectors can provide an adequate and reliable basis for the development and implementation of...
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ftdoajarticles:oai:doaj.org/article:99457adf29a8473cbdaecbc003343b24 2024-02-27T08:38:21+00:00 Seasonal prediction of the distribution of three major malaria vectors in China: Based on an ecological niche model. Qi An Yuepeng Li Zhuo Sun Xiang Gao Hongbin Wang 2024-01-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0011884 https://doaj.org/article/99457adf29a8473cbdaecbc003343b24 EN eng Public Library of Science (PLoS) https://journals.plos.org/plosntds/article/file?id=10.1371/journal.pntd.0011884&type=printable https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0011884 https://doaj.org/article/99457adf29a8473cbdaecbc003343b24 PLoS Neglected Tropical Diseases, Vol 18, Iss 1, p e0011884 (2024) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2024 ftdoajarticles https://doi.org/10.1371/journal.pntd.0011884 2024-01-28T02:21:28Z Against the backdrop of a global malaria epidemic that remains severe, China has eradicated indigenous malaria but still has to be alert to the risk of external importation. Understanding the distribution of vectors can provide an adequate and reliable basis for the development and implementation of vector control strategies. However, with the decline of malaria prevalence in recent years, the capacity of vector monitoring and identification has been greatly weakened. Here we have used new sampling records, climatic data, and topographic data to establish ecological niche models of the three main malaria vectors in China. The model results accurately identified the current habitat suitability areas for the three species of Anopheles and revealed that in addition to precipitation and temperature as important variables affecting the distribution of Anopheles mosquitoes, topographic variables also influenced the distribution of Anopheles mosquitoes. Anopheles sinensis is the most widespread malaria vector in China, with a wide region from the northeast (Heilongjiang Province) to the southwest (Yunnan Province) suitable for its survival. Suitable habitat areas for Anopheles lesteri are concentrated in the central, eastern, and southern regions of China. The suitable habitat areas of Anopheles minimus are the smallest and are only distributed in the border provinces of southern China. On this basis, we further assessed the seasonal variation in habitat suitability areas for these three major malaria vectors in China. The results of this study provide new and more detailed evidence for vector monitoring. In this new era of imported malaria prevention in China, regular reassessment of the risk of vector transmission is recommended. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLOS Neglected Tropical Diseases 18 1 e0011884 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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language |
English |
topic |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Qi An Yuepeng Li Zhuo Sun Xiang Gao Hongbin Wang Seasonal prediction of the distribution of three major malaria vectors in China: Based on an ecological niche model. |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
Against the backdrop of a global malaria epidemic that remains severe, China has eradicated indigenous malaria but still has to be alert to the risk of external importation. Understanding the distribution of vectors can provide an adequate and reliable basis for the development and implementation of vector control strategies. However, with the decline of malaria prevalence in recent years, the capacity of vector monitoring and identification has been greatly weakened. Here we have used new sampling records, climatic data, and topographic data to establish ecological niche models of the three main malaria vectors in China. The model results accurately identified the current habitat suitability areas for the three species of Anopheles and revealed that in addition to precipitation and temperature as important variables affecting the distribution of Anopheles mosquitoes, topographic variables also influenced the distribution of Anopheles mosquitoes. Anopheles sinensis is the most widespread malaria vector in China, with a wide region from the northeast (Heilongjiang Province) to the southwest (Yunnan Province) suitable for its survival. Suitable habitat areas for Anopheles lesteri are concentrated in the central, eastern, and southern regions of China. The suitable habitat areas of Anopheles minimus are the smallest and are only distributed in the border provinces of southern China. On this basis, we further assessed the seasonal variation in habitat suitability areas for these three major malaria vectors in China. The results of this study provide new and more detailed evidence for vector monitoring. In this new era of imported malaria prevention in China, regular reassessment of the risk of vector transmission is recommended. |
format |
Article in Journal/Newspaper |
author |
Qi An Yuepeng Li Zhuo Sun Xiang Gao Hongbin Wang |
author_facet |
Qi An Yuepeng Li Zhuo Sun Xiang Gao Hongbin Wang |
author_sort |
Qi An |
title |
Seasonal prediction of the distribution of three major malaria vectors in China: Based on an ecological niche model. |
title_short |
Seasonal prediction of the distribution of three major malaria vectors in China: Based on an ecological niche model. |
title_full |
Seasonal prediction of the distribution of three major malaria vectors in China: Based on an ecological niche model. |
title_fullStr |
Seasonal prediction of the distribution of three major malaria vectors in China: Based on an ecological niche model. |
title_full_unstemmed |
Seasonal prediction of the distribution of three major malaria vectors in China: Based on an ecological niche model. |
title_sort |
seasonal prediction of the distribution of three major malaria vectors in china: based on an ecological niche model. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2024 |
url |
https://doi.org/10.1371/journal.pntd.0011884 https://doaj.org/article/99457adf29a8473cbdaecbc003343b24 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
PLoS Neglected Tropical Diseases, Vol 18, Iss 1, p e0011884 (2024) |
op_relation |
https://journals.plos.org/plosntds/article/file?id=10.1371/journal.pntd.0011884&type=printable https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0011884 https://doaj.org/article/99457adf29a8473cbdaecbc003343b24 |
op_doi |
https://doi.org/10.1371/journal.pntd.0011884 |
container_title |
PLOS Neglected Tropical Diseases |
container_volume |
18 |
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1 |
container_start_page |
e0011884 |
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1792045254763872256 |