2019
DOI: 10.1016/j.scitotenv.2019.01.301
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Modeling the present and future distribution of arbovirus vectors Aedes aegypti and Aedes albopictus under climate change scenarios in Mainland China

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Cited by 103 publications
(87 citation statements)
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“…Studies have emphasized the connection between climate and dengue and predicted the potential for expansion of both the vectors and the arboviruses into regions at the margins of transmission that are currently deemed unsuitable for arbovirus transmission [10 ,58,59 ,60]. Region-specific studies have predicted the potential for greater suitability for arbovirus transmission in some major U.S. cities [61 ], rural and southern regions of Brazil [62], and central and western regions of China [63], among others.…”
Section: Discussionmentioning
confidence: 99%
“…Studies have emphasized the connection between climate and dengue and predicted the potential for expansion of both the vectors and the arboviruses into regions at the margins of transmission that are currently deemed unsuitable for arbovirus transmission [10 ,58,59 ,60]. Region-specific studies have predicted the potential for greater suitability for arbovirus transmission in some major U.S. cities [61 ], rural and southern regions of Brazil [62], and central and western regions of China [63], among others.…”
Section: Discussionmentioning
confidence: 99%
“…The most suitable habitats of Ae. aegypti include Hainan, Guangdong, Guangxi, the western and southern border areas of Yunnan, and parts of the southern Guizhou region 27 . Yet, due to climate changes and increased urbanization, a significant northward shift occurred in the northern Chinese region over recent years 28 .…”
Section: Discussionmentioning
confidence: 99%
“…Risk assessments of vector‐borne diseases by modelling the distribution of vectors have been highlighted in many previous studies, such as the modelling of Lutzomyia for leishmaniasis, Cx. tritaeniorhynchus for Japanese encephalitis, and Aedes aegypti / Aedes albopictus for dengue . Predicting the potential distribution of disease vectors is helpful to carry out more targeted and efficient vector monitoring and pathogen detection work.…”
Section: Introductionmentioning
confidence: 99%