M. Santos-Vega

This study introduces Opqua, a simulation framework linking epidemiology to sequence evolution, and shows that low transmission and complex life cycles enable pathogen adaptation across fitness valleys.

The paper estimates snakebite incidence in Colombia using mathematical modeling and statistical inference, finding 10.3% of cases are underreported.

This study uses epidemiological models to show that rainfall significantly affects snakebite incidence in Colombia, particularly in regions with dry seasons, but not in areas without distinct dry seasons.

This study quantifies the joint influence of climate and socio-economic factors on urban malaria risk in Surat, India, using spatio-temporal modeling across multiple spatial resolutions.

The paper quantifies how rainfall influences the transmission of amebiasis in Mexico City by modeling the population dynamics of Entamoeba histolytica and analyzing case data from 2005 to 2012.