Special Session 94: Computational and Mathematical Approaches to Understanding Complex Biological Systems

An evolutionary epidemic model to study the impact of tolerance on disease-induced recoveries

Sabrina Streipert
University of Pittsburgh
USA
Co-Author(s):    
Abstract:
Recoveries of populations that have suffered severe disease-induced declines are being observed across disparate taxa. Yet, we lack theoretical understanding of the drivers and dynamics of recovery in host populations. Motivated by diseaseinduced declines and nascent recoveries in amphibians, we developed a model to ask: how does the rapid evolution of different host defense strategies affect the transient recovery trajectories of hosts following pathogen invasion and disease-induced declines? Our model, based on a moment closure approximation, provided key insights into the transient effects of different defense mechanisms. Furthermore, populations evolving tolerance recovered on average four times slower than populations evolving resistance. This motivated the long-term study of a tolerance evolving host species. We found that in the presence of a trade-off, where a higher tolerance comes at the expense of a lower reproductive rate, the set of pandemic equilibria increases in richness to contain equilibria where different tolerance classes are present, contrasting the results obtained in the absence of such trade-off.