Epidemiological significance of dengue virus genetic variation in mosquito infection dynamics
Authored by Albin Fontaine, Sebastian Lequime, Isabelle Moltini-Conclois, Davy Jiolle, Isabelle Leparc-Goffart, Jr Robert Charles Reiner, Louis Lambrechts
Date Published: 2018
DOI: 10.1371/journal.ppat.1007187
Sponsors:
No sponsors listed
Platforms:
R
Model Documentation:
Other Narrative
Model Code URLs:
https://github.com/slequime/ArboEpiSim
Abstract
The kinetics of arthropod-borne virus (arbovirus) transmission by their
vectors have long been recognized as a powerful determinant of arbovirus
epidemiology. The time interval between virus acquisition and
transmission by the vector, termed extrinsic incubation period (EIP),
combines with vector mortality rate and vector competence to determine
the proportion of infected vectors that eventually become infectious.
However, the dynamic nature of this process, and the amount of natural
variation in transmission kinetics among arbovirus strains, are poorly
documented empirically and are rarely considered in epidemiological
models. Here, we combine newly generated empirical measurements in vivo
and outbreak simulations in silico to assess the epidemiological
significance of genetic variation in dengue virus (DENV) transmission
kinetics by Aedes aegypti mosquitoes. We found significant variation in
the dynamics of systemic mosquito infection, a proxy for EIP, among
eight fieldderived DENV isolates representing the worldwide diversity of
recently circulating type 1 strains. Using a stochastic agent-based
model to compute time-dependent individual transmission probabilities,
we predict that the observed variation in systemic mosquito infection
kinetics may drive significant differences in the probability of dengue
outbreak and the number of human infections. Our results demonstrate
that infection dynamics in mosquitoes vary among wild-type DENV isolates
and that this variation potentially affects the risk and magnitude of
dengue outbreaks. Our quantitative assessment of DENV genetic variation
in transmission kinetics contributes to improve our understanding of
heterogeneities in arbovirus epidemiological dynamics.
Tags
population
alignment
transmission
Aedes-aegypti
Vectorial capacity
Temperature
Genotype
Global distribution
Extrinsic incubation period
Aedes-aegypti mosquitos
Vectorial
capacity
Sequence data
Heterogeneities
Global
distribution