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State-dependent domicile leaving rates in Anopheles gambiae

Overview of attention for article published in Malaria Journal, January 2018
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Title
State-dependent domicile leaving rates in Anopheles gambiae
Published in
Malaria Journal, January 2018
DOI 10.1186/s12936-017-2166-4
Pubmed ID
Authors

Simon P. W. Zappia, Alex M. Chubaty, Bernard D. Roitberg

Abstract

Transmission of Plasmodium greatly depends on the foraging behaviour of its mosquito vector (Anopheles spp.). The accessibility of blood hosts and availability of plant sugar (i.e., nectar) sources, together with mosquito energy state, have been shown to modulate blood feeding (and thus biting rates) of anopheline mosquitoes. In this study, the influence of mosquito starvation status and availability of nectar on the decision of female Anopheles gambiae mosquitoes to leave a bed net-protected blood host was examined. Two small-scale mesocosm experiments were conducted using female mosquitoes starved for 0, 24 or 48 h, that were released inside a specially constructed hut with mesh-sealed exits and containing a bed net-protected human volunteer. Floral cues were positioned on one side of the hut or the other. Several biologically plausible exponential decay models were developed that characterized the emigration rates of mosquitoes from the huts. These varied from simple random loss to leaving rates dependent upon energy state and time. These model fits were evaluated by examining their fitted parameter estimates and comparing Akaike information criterion. Starved mosquitoes left domiciles at a higher rate than recently fed individuals however, there was no difference between 1- and 2-day-starved mosquitoes. There was also no effect of floral cue placement. The best fitting emigration model was one based on both mosquito energy state and time whereas the worst fitting model was one based on the assumption of constant leaving rates, independent of time and energy state. The results confirm that mosquito-leaving behaviour is energy-state dependent, and provide some of the first evidence of state-dependent domicile emigration in An. gambiae, which may play a role in malarial transmission dynamics. Employment of simple, first-principle, mechanistic models can be very useful to our understanding of why and how mosquitoes leave domiciles.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 27%
Researcher 5 23%
Student > Doctoral Student 2 9%
Student > Master 1 5%
Professor > Associate Professor 1 5%
Other 1 5%
Unknown 6 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 27%
Medicine and Dentistry 2 9%
Nursing and Health Professions 2 9%
Biochemistry, Genetics and Molecular Biology 1 5%
Business, Management and Accounting 1 5%
Other 3 14%
Unknown 7 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 January 2018.
All research outputs
#19,162,324
of 24,400,706 outputs
Outputs from Malaria Journal
#5,112
of 5,827 outputs
Outputs of similar age
#322,647
of 451,889 outputs
Outputs of similar age from Malaria Journal
#101
of 112 outputs
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