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Climate-driven variation in mosquito density predicts the spatiotemporal dynamics of dengue

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Journal 11 Feb 2019 United Kingdom, Norway Publisher:Proceedings of the National Academy of SciencesJournal:Proceedings of the National Academy of Sciences, volume 116, pages 3,624-3,629 (issn: 0027-8424, eissn: 1091-6490,

Authors: Ottar N. Bjørnstad; Keke Liu; Keke Liu; Lei Xu; Lei Xu; Nils Christian Stenseth; Nils Christian Stenseth; +6 Authors

doi: 10.1073/pnas.1806094116

pmid: 30808752

pmc: PMC6397594

handle: 10852/77179 , 10044/1/67603

Climate-driven variation in mosquito density predicts the spatiotemporal dynamics of dengue

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Abstract

Significance Using extensive data on dengue fever and mosquito density, we demonstrate that local weather conditions, through their impact on the variation of mosquito abundance, are a driver of dengue dynamics in China. We believe that this mechanism can be applied to explain dengue dynamics in other places as well. We furthermore conjecture that our integrative approach would be applicable to other vector-borne diseases, such as Zika, malaria, and chikungunya.

Countries

United Kingdom, Norway

Related Organizations

Chinese Center For Disease Control and Prevention
China (People's Republic of)
National Institute for Communicable Disease Control and Prevention
China (People's Republic of)
Shandong Women’s University
China (People's Republic of)
University of Oslo
Norway
University of Gothenburg
Sweden

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Keywords

570, China, Climate Change, 610, Mosquito Vectors, Biological Sciences, Dengue Virus, Disease Vectors, Models, Theoretical, Disease Outbreaks, Dengue, Culicidae, MD Multidisciplinary, Animals

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	115
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%