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A Spatial Model of Mosquito Host-Seeking Behavior

Overview of attention for article published in PLoS Computational Biology, May 2012
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Title
A Spatial Model of Mosquito Host-Seeking Behavior
Published in
PLoS Computational Biology, May 2012
DOI 10.1371/journal.pcbi.1002500
Pubmed ID
Authors

Bree Cummins, Ricardo Cortez, Ivo M. Foppa, Justin Walbeck, James M. Hyman

Abstract

Mosquito host-seeking behavior and heterogeneity in host distribution are important factors in predicting the transmission dynamics of mosquito-borne infections such as dengue fever, malaria, chikungunya, and West Nile virus. We develop and analyze a new mathematical model to describe the effect of spatial heterogeneity on the contact rate between mosquito vectors and hosts. The model includes odor plumes generated by spatially distributed hosts, wind velocity, and mosquito behavior based on both the prevailing wind and the odor plume. On a spatial scale of meters and a time scale of minutes, we compare the effectiveness of different plume-finding and plume-tracking strategies that mosquitoes could use to locate a host. The results show that two different models of chemotaxis are capable of producing comparable results given appropriate parameter choices and that host finding is optimized by a strategy of flying across the wind until the odor plume is intercepted. We also assess the impact of changing the level of host aggregation on mosquito host-finding success near the end of the host-seeking flight. When clusters of hosts are more tightly associated on smaller patches, the odor plume is narrower and the biting rate per host is decreased. For two host groups of unequal number but equal spatial density, the biting rate per host is lower in the group with more individuals, indicative of an attack abatement effect of host aggregation. We discuss how this approach could assist parameter choices in compartmental models that do not explicitly model the spatial arrangement of individuals and how the model could address larger spatial scales and other probability models for mosquito behavior, such as Lévy distributions.

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Mendeley readers

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Geographical breakdown

Country Count As %
United States 9 4%
United Kingdom 4 2%
Mexico 3 1%
Portugal 2 <1%
Indonesia 1 <1%
Italy 1 <1%
Tanzania, United Republic of 1 <1%
Finland 1 <1%
Canada 1 <1%
Other 0 0%
Unknown 207 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 58 25%
Student > Ph. D. Student 53 23%
Student > Master 25 11%
Student > Bachelor 19 8%
Student > Doctoral Student 16 7%
Other 32 14%
Unknown 27 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 95 41%
Environmental Science 17 7%
Medicine and Dentistry 16 7%
Biochemistry, Genetics and Molecular Biology 11 5%
Mathematics 10 4%
Other 47 20%
Unknown 34 15%