This $335,666 project grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports collaborative research between Indiana University and other organizations to develop new mathematical and experimental methods for understanding virus spread and extinction. The research team will create a framework integrating experimental and mathematical studies to control the spatial distribution of host cell populations and quantify the effects on viral evolution and decay. They will develop stochastic reaction-diffusion equations on metric graphs to model virus infections over any network structure. Cutting-edge biological experiments using micro-patterned host cells will enable quantifying population-level features of infection spread. Analysis of experimentally informed stochastic equations has potential to advance knowledge of spatial factors and stochasticity in population dynamics. Outcomes will further NSF's mission to strengthen the nation's scientific enterprise through advancing fundamental mathematical and physical sciences knowledge with potential medical and public health impacts.
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