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Mapping the Distributions of Mosquitoes and Mosquito-Borne Arboviruses in China

The geographic expansion of mosquitos is associated with a rising frequency of outbreaks of mosquito-borne diseases (MBD) worldwide. We collected occurrence locations and times of mosquito species, mosquito-borne arboviruses, and MBDs in the mainland of China in 1954−2020. We mapped the spatial dist...

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Autores principales: Wang, Tao, Fan, Zheng-Wei, Ji, Yang, Chen, Jin-Jin, Zhao, Guo-Ping, Zhang, Wen-Hui, Zhang, Hai-Yang, Jiang, Bao-Gui, Xu, Qiang, Lv, Chen-Long, Zhang, Xiao-Ai, Li, Hao, Yang, Yang, Fang, Li-Qun, Liu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031751/
https://www.ncbi.nlm.nih.gov/pubmed/35458421
http://dx.doi.org/10.3390/v14040691
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author Wang, Tao
Fan, Zheng-Wei
Ji, Yang
Chen, Jin-Jin
Zhao, Guo-Ping
Zhang, Wen-Hui
Zhang, Hai-Yang
Jiang, Bao-Gui
Xu, Qiang
Lv, Chen-Long
Zhang, Xiao-Ai
Li, Hao
Yang, Yang
Fang, Li-Qun
Liu, Wei
author_facet Wang, Tao
Fan, Zheng-Wei
Ji, Yang
Chen, Jin-Jin
Zhao, Guo-Ping
Zhang, Wen-Hui
Zhang, Hai-Yang
Jiang, Bao-Gui
Xu, Qiang
Lv, Chen-Long
Zhang, Xiao-Ai
Li, Hao
Yang, Yang
Fang, Li-Qun
Liu, Wei
author_sort Wang, Tao
collection PubMed
description The geographic expansion of mosquitos is associated with a rising frequency of outbreaks of mosquito-borne diseases (MBD) worldwide. We collected occurrence locations and times of mosquito species, mosquito-borne arboviruses, and MBDs in the mainland of China in 1954−2020. We mapped the spatial distributions of mosquitoes and arboviruses at the county level, and we used machine learning algorithms to assess contributions of ecoclimatic, socioenvironmental, and biological factors to the spatial distributions of 26 predominant mosquito species and two MBDs associated with high disease burden. Altogether, 339 mosquito species and 35 arboviruses were mapped at the county level. Culex tritaeniorhynchus is found to harbor the highest variety of arboviruses (19 species), followed by Anopheles sinensis (11) and Culex pipiens quinquefasciatus (9). Temperature seasonality, annual precipitation, and mammalian richness were the three most important contributors to the spatial distributions of most of the 26 predominant mosquito species. The model-predicted suitable habitats are 60–664% larger in size than what have been observed, indicating the possibility of severe under-detection. The spatial distribution of major mosquito species in China is likely to be under-estimated by current field observations. More active surveillance is needed to investigate the mosquito species in specific areas where investigation is missing but model-predicted probability is high.
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spelling pubmed-90317512022-04-23 Mapping the Distributions of Mosquitoes and Mosquito-Borne Arboviruses in China Wang, Tao Fan, Zheng-Wei Ji, Yang Chen, Jin-Jin Zhao, Guo-Ping Zhang, Wen-Hui Zhang, Hai-Yang Jiang, Bao-Gui Xu, Qiang Lv, Chen-Long Zhang, Xiao-Ai Li, Hao Yang, Yang Fang, Li-Qun Liu, Wei Viruses Article The geographic expansion of mosquitos is associated with a rising frequency of outbreaks of mosquito-borne diseases (MBD) worldwide. We collected occurrence locations and times of mosquito species, mosquito-borne arboviruses, and MBDs in the mainland of China in 1954−2020. We mapped the spatial distributions of mosquitoes and arboviruses at the county level, and we used machine learning algorithms to assess contributions of ecoclimatic, socioenvironmental, and biological factors to the spatial distributions of 26 predominant mosquito species and two MBDs associated with high disease burden. Altogether, 339 mosquito species and 35 arboviruses were mapped at the county level. Culex tritaeniorhynchus is found to harbor the highest variety of arboviruses (19 species), followed by Anopheles sinensis (11) and Culex pipiens quinquefasciatus (9). Temperature seasonality, annual precipitation, and mammalian richness were the three most important contributors to the spatial distributions of most of the 26 predominant mosquito species. The model-predicted suitable habitats are 60–664% larger in size than what have been observed, indicating the possibility of severe under-detection. The spatial distribution of major mosquito species in China is likely to be under-estimated by current field observations. More active surveillance is needed to investigate the mosquito species in specific areas where investigation is missing but model-predicted probability is high. MDPI 2022-03-27 /pmc/articles/PMC9031751/ /pubmed/35458421 http://dx.doi.org/10.3390/v14040691 Text en © 2022 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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Tao
Fan, Zheng-Wei
Ji, Yang
Chen, Jin-Jin
Zhao, Guo-Ping
Zhang, Wen-Hui
Zhang, Hai-Yang
Jiang, Bao-Gui
Xu, Qiang
Lv, Chen-Long
Zhang, Xiao-Ai
Li, Hao
Yang, Yang
Fang, Li-Qun
Liu, Wei
Mapping the Distributions of Mosquitoes and Mosquito-Borne Arboviruses in China
title Mapping the Distributions of Mosquitoes and Mosquito-Borne Arboviruses in China
title_full Mapping the Distributions of Mosquitoes and Mosquito-Borne Arboviruses in China
title_fullStr Mapping the Distributions of Mosquitoes and Mosquito-Borne Arboviruses in China
title_full_unstemmed Mapping the Distributions of Mosquitoes and Mosquito-Borne Arboviruses in China
title_short Mapping the Distributions of Mosquitoes and Mosquito-Borne Arboviruses in China
title_sort mapping the distributions of mosquitoes and mosquito-borne arboviruses in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031751/
https://www.ncbi.nlm.nih.gov/pubmed/35458421
http://dx.doi.org/10.3390/v14040691
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