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Dengue and chikungunya: modelling the expansion of mosquito-borne viruses into naïve populations

Published online by Cambridge University Press:  05 April 2016

HELEN J. WEARING ,
MICHAEL A. ROBERT  and
REBECCA C. CHRISTOFFERSON
HELEN J. WEARING*
Affiliation:
Department of Biology, University of New Mexico, MSC03 2020, Albuquerque, New Mexico 87131-0001, USA Department of Mathematics & Statistics, University of New Mexico, MSC01 1115, Albuquerque, New Mexico 87131-0001, USA
MICHAEL A. ROBERT
Affiliation:
Department of Biology, University of New Mexico, MSC03 2020, Albuquerque, New Mexico 87131-0001, USA Department of Mathematics & Statistics, University of New Mexico, MSC01 1115, Albuquerque, New Mexico 87131-0001, USA
REBECCA C. CHRISTOFFERSON
Affiliation:
Department of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, Louisiana 70803, USA
*
*Corresponding author: Department of Biology, University of New Mexico, MSC03 2020, Albuquerque, New Mexico 87131-0001, USA. E-mail: [email protected]
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Summary

With the recent global spread of a number of mosquito-borne viruses, there is an urgent need to understand the factors that contribute to the ability of viruses to expand into naïve populations. Using dengue and chikungunya viruses as case studies, we detail the necessary components of the expansion process: presence of the mosquito vector; introduction of the virus; and suitable conditions for local transmission. For each component we review the existing modelling approaches that have been used to understand recent emergence events or to assess the risk of future expansions. We identify gaps in our knowledge that are related to each of the distinct aspects of the human-mosquito transmission cycle: mosquito ecology; human–mosquito contact; mosquito–virus interactions; and human–virus interactions. Bridging these gaps poses challenges to both modellers and empiricists, but only through further integration of models and data will we improve our ability to better understand, and ultimately control, several infectious diseases that exert a significant burden on human health.

Keywords

emerging infectious diseaseArbovirusAe. AegyptiAealbopictus
Type
Special Issue Review
Information
Parasitology , Volume 143 , Special Issue 7: Mathematical modelling of infectious diseases , June 2016 , pp. 860 - 873
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Copyright
Copyright © Cambridge University Press 2016 

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