surveillance of Aedes aegypti in the context of dengue, chikungunya and zika transmission
Centers for Disease Control and Prevention (CDC: OADS BAA 2016-N-17844)
This project will evaluate existing passive and entomologic surveillance systems for dengue, and test the sensitivity and specificity of including infection information in the vector population as an enhanced predictor of transmission in areas with co-circulating dengue, chikungunya and zika viruses.
National Science Foundation. Award Number: 1640698
This project will use existing data from Mexico and Brazil and stochastic simulation models to quantify hot-spots of high dengue, chikungunya and zika transmission and evaluate the city-wide effect and cost-effectiveness of pre-emptively targeting high quality interventions on them.
We are characterizing Aedes aegypti abundance and resting behavior with the goal of improving existing surveillance and control strategies. Using the Prokopack aspirators, we have characterized the resting bahaviors of Ae. aegypti in Acapulco, Mexico. After collecting mosquitoes from ~1000 houses we found that most adults were found resting in bedrooms, followed by living rooms, and that there was a 17 times higher chance to detect Ae aegypti resting below 1.5 m compared to above 1.5m (Figure on the right, extracted from Dzul-Manzanilla et al. J. Med. Entomol. 2017). This information is being used to improve insecticide-based interventions by targeting spraying in resting sites. Post-doc Mike Dunbar is evaluating targeted indoor residual spraying in Merida, Mexico, where he is using experimental houses to quantify mortality of Ae aegypti when different house surfaces are sprayed.
We are also using Prokopack aspirators in Mexico to evaluate the utility of entomo-virolocial surveillance for the detection of dengue, chikungunya and Zika viruses. We provide the first report of Zika virus infection in Aedes albopictus of Mexico (Huerta et al. 2017), and the co-circulation of dengue and chikungunya viruses in Acapulco (Dzul-Manzanilla et al. 2016)