A modelling perspective on mosquito infectiousness: time-varying transmission competence in arbovirus vector
L\'ea Loisel, Tristan Monrocq, Vincent Raquin, Pauline Ezanno, Ga\"el Beaun\'ee

TL;DR
This study introduces a time-varying model of mosquito infectiousness, revealing that transmission capacity may decline over time, challenging the traditional assumption of lifelong infectiousness in vector competence models.
Contribution
The paper extends existing intra-vector viral dynamics models by incorporating reversible transmission states, improving fit to experimental data and providing a more realistic representation of mosquito infectiousness.
Findings
Models with temporary transmission interruption fit data better in 7 of 10 decline cases.
Allowing transmission interruption increases estimates of mosquitoes crossing all barriers.
Intermittent transmission durations can last several days, similar to permanent cessation models.
Abstract
Mosquito vector competence is usually represented as a process in which once virus is detected in saliva, mosquitoes are assumed to remain infectious for life, implying an irreversible transition to the transmitting state. However, some experiments report declines in the proportion of transmitting mosquitoes at late times post-exposure, suggesting transmission capacity may not be permanent. To investigate this hypothesis, we extended a previously developed stochastic intra-vector viral dynamics model by introducing transmission states allowing either permanent cessation or temporary interruption of transmission. We fitted three competing models to data from 52 vector competence conditions covering chikungunya, dengue, Zika, West Nile, and Rift Valley fever viruses, using Approximate Bayesian Computation with Sequential Monte Carlo inference. Among the 10 experimental conditions showing…
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