Forecasting relative abundance of mosquitoes in urban areas

Rationale

We developed an analytical tool to forecast the relative abundance of mosquito species in urban areas. I was the lead developer and first author in the first version of this project.

The tool is a mechanistic and Bayesian framework, which estimates reproduction and generation parameters of a mosquito species based on weekly specimen collection data. We trained and validated our framework for Aedes aegypti collections in four urban locations of the USA with diverse climate landscapes.

Publications

Our first paper was published in Plos Neglected Tropical Diseases in 2024:

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