Macroscale spread of disease

Part of my computational research examines methods for modeling spread on networks. This work applies to several pathogens, including white-nose syndrome in bats, Ebola in central and west Africa, and SARS-Cov2. By modeling the epidemics on a network, we can better capture the pattern of spread, identify key factors influencing that pattern, and produce effective forecasts. My current work addresses two important problems: simplifying the complex networks that often result from these models and coupling processes at the local scale to macro-scale spread on the network.