Urban mosquito

Risk evaluation of mosquito-borne disease transmission through urban commutes pathways.

Modelling analyses of mosquito-borne diseases help guiding the response to the disease spreading by evaluating the cost-effectiveness impact of a wide spectrum of possible intervention options, ranging from mosquito control strategies to the identification of disease hotspots in urban environments. 

This project aims at improving the accuracy of Agent-Based Models (ABMs) by considering a novel approach to compute the force of infection based on both mobility pathways and vectors’ densities, with the idea that daily commuters have larger exposure when their pathways cross mosquito-infested areas. 

The goal of this project is to understand, measure, and simulate the interplay between urban human mobility and mosquito-borne diseases (in the specific, Dengue) and to suggest safer commuting pathways obtained through optimal control strategies.