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19 October 2018 Modeling Spatiotemporal Distribution of Mosquitoes Abundance With Unobservable Environmental Factors
Longbin Chen, Huaiping Zhu, Xiaogang Wang
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Mosquito trap counts are heavily influenced by environmental factors such as temperature and precipitation. However, some important geographic factors, such as land use and elevation of a particular site, are often either not recorded or simplify not observable. This is a major issue in building a predictive model for the mosquito trap counts over time across a particular region. The collective impact of all unobservable factors for one particular site is estimated by a hidden dimension method. Application to mosquito trap counts in Peel Region has shown that our model can significantly improve the modeling accuracy of the generalized linear model. This method may provide a significantly better characterization of the spatiotemporal distribution of mosquito (Diptera: Culicidae) abundance in areas with green lands or open spaces.

© The Author(s) 2018. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For permissions, please e-mail:
Longbin Chen, Huaiping Zhu, and Xiaogang Wang "Modeling Spatiotemporal Distribution of Mosquitoes Abundance With Unobservable Environmental Factors," Journal of Medical Entomology 56(1), 65-71, (19 October 2018).
Received: 12 December 2017; Accepted: 3 July 2018; Published: 19 October 2018

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mosquito control
mosquito-borne diseases
Population modeling
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