The Interaction between Vector Life History and Short Vector Life in Vector-Borne Disease Transmission and Control.

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 radic

SUBMITTER: Brand SP 

PROVIDER: S-EPMC4851302 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature