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The interaction between vector life history and short vector life in vector-borne disease transmission and control
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Brand, Samuel, Rock, Kat S. and Keeling, Matthew James (2016) The interaction between vector life history and short vector life in vector-borne disease transmission and control. PLoS Computational Biology, 12 (4). e1004837. doi:10.1371/journal.pcbi.1004837 ISSN 1553-7358.
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Official URL: http://dx.doi.org/10.1371/journal.pcbi.1004837
Abstract
Epidemiological modelling has a vital role to play in policy planning and prediction for the control of vectors, and hence the subsequent control of vector-borne diseases. To decide between competing policies requires models that can generate accurate predictions, which in turn requires accurate knowledge of vector natural histories. Here we highlight the importance of the distribution of times between life-history events, using short-lived midge species as an example. In particular we focus on the distribution of the extrinsic incubation period (EIP) which determines the time between infection and becoming infectious, and the distribution of the length of the gonotrophic cycle which determines the time between successful bites. We show how different assumptions for these periods can radically change the basic reproductive ratio (R0) of an infection and additionally the impact of vector control on the infection. These findings highlight the need for detailed entomological data, based on laboratory experiments and field data, to correctly construct the next-generation of policy-informing models.
| Item Type: | Journal Article | ||||||||
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| Subjects: | Q Science > QA Mathematics | ||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) Faculty of Science, Engineering and Medicine > Science > Mathematics |
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| Library of Congress Subject Headings (LCSH): | Communicable diseases -- Transmission -- Mathematical models | ||||||||
| Journal or Publication Title: | PLoS Computational Biology | ||||||||
| Publisher: | Public Library of Science | ||||||||
| ISSN: | 1553-7358 | ||||||||
| Official Date: | 29 April 2016 | ||||||||
| Dates: |
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| Volume: | 12 | ||||||||
| Number: | 4 | ||||||||
| Article Number: | e1004837 | ||||||||
| DOI: | 10.1371/journal.pcbi.1004837 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||||
| Date of first compliant deposit: | 1 June 2016 | ||||||||
| Date of first compliant Open Access: | 1 June 2016 | ||||||||
| Funder: | Animal Health and Welfare ERA-Net (ANIHWA), Bill & Melinda Gates Foundation | ||||||||
| Grant number: | ANR-13-ANWA-0007-03 (ANIHWA) | ||||||||
| Adapted As: |
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