Marco Ajelli

This study examines seasonal variations in mosquito population dynamics of Ae. aegypti and Cx. quinquefasciatus in three U.S. counties, finding species- and location-specific patterns that inform local mosquito control strategies.

This paper develops a multi-model forecasting framework to predict Aedes aegypti abundance up to 4 weeks ahead, showing improved performance with longer horizons and highlighting challenges in low activity or atypical peak periods.

This study analyzes spatiotemporal patterns of Aedes aegypti and Culex quinquefasciatus in Miami-Dade County over eight years to identify population hotspots and seasonal trends for public health planning.

The paper develops an agent-based model to simulate mosquito control trial designs, showing that implementation choices significantly affect outcomes.