Samantha Sambado

The paper examines how water availability affects West Nile virus dynamics in water-limited regions using mosquito data and panel models, finding contrasting effects on abundance and infection rates.

This study identifies ecological and socioeconomic factors influencing the reporting of tick-borne viruses globally using machine learning on a comprehensive database.

This study models current and future dengue risk in California by integrating vector presence, temperature suitability, and travel-associated cases, finding that 18.2 million residents are at risk now and an additional 4.1 million may be at risk by mid-century under climate warming and urban expansion.

The paper uses ecological data and modeling to show drought increases West Nile virus risk by concentrating mosquitoes and hosts around limited water sources, despite reducing mosquito abundance.