New mathematical parameters to model the impact of Wolbachia infection for disease control
LSTM’s Dr. Gabriela Gomes is senior author on a new study which outlines the importance of using variation in mosquito susceptibility as a parameter in mathematical modelling to realistically assess the impact of Wolbachia infection on disease transmission.
The Aedes aegypti mosquito is a disease vector for a number of arboviruses including, chikungunya, dengue and Zika. Wolbachia, a bacterial symbiont, has been introduced to these mosquitoes as a method of controlling such diseases, and has proved successful in a broad range of controlled conditions at reducing replication of dengue virus. This has prompted the release of mosquitoes infected with the bacterium into the field, where their ability to spread the virus can be compared to non-infected, native mosquitoes.
In paper published in the journal, Nature Communications, Dr. Gomes and her team analyse two independently generated datasets (from Brazil and Vietnam) and show that Wolbachia consistently increases the mean and variance in mosquito susceptibility to dengue viruses. Current mathematical models of disease transmission are conventionally parametrised by population averages, but the team show that the variance in mosquito susceptibility critically impacts disease transmission and are clear that disregarding this parameter could lead to misleading conclusions.
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