Linking mosquito surveillance to dengue fever through Bayesian mechanistic modeling

Our ability to effectively prevent the transmission of the dengue virus through targeted control of its vector, Aedes aegypti, depends critically on our understanding of the link between mosquito abundance and human disease risk. Mosquito and clinical surveillance data are widely collected, but link...

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Veröffentlicht in:	PLoS neglected tropical diseases 2020-11, Vol.14 (11), p.e0008868-e0008868
Hauptverfasser:	Leach, Clinton B, Hoeting, Jennifer A, Pepin, Kim M, Eiras, Alvaro E, Hooten, Mevin B, Webb, Colleen T
Format:	Artikel
Sprache:	eng
Schlagworte:	Aedes - virology Aedes aegypti Animals Aquatic insects Autoregressive models Bayes Theorem Bayesian analysis Biology and Life Sciences Biting Brazil Control programs Dengue Dengue - prevention & control Dengue - transmission Dengue fever Dengue Virus Differential equations Disease transmission Engineering and Technology Epidemiology Exposure Fever Health Human diseases Humans Incubation period Infections Insect control Longevity - physiology Mathematical models Medicine and Health Sciences Models, Biological Mortality Mosquito Control - methods Mosquito Vectors - virology Mosquitoes Physical Sciences Population Population dynamics Population forecasting Probability theory Public health Random variables Research and Analysis Methods Seasons Statistical analysis Statistical models Surveillance Survival Temperature dependence Time series Transmission Tropical diseases Vector-borne diseases Viruses
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