5 citations · 5 across the 5 of their papers we have counts for
6 papers
Learning virulence-transmission relationships using causal inference
Sudam Surasinghe, C. Brandon Ogbunugafor
The relationship between traits that influence pathogen virulence and transmission is part of the central canon of the evolution and ecology of infectious disease. However, identif…
Optimal virulence strategies in epidemiological models with asymptomatic transmission
C. Brandon Ogbunugafor, Sudam Surasinghe
Asymptomatic infection has gained notoriety as an important feature of infectious disease dynamics. Despite increasing attention, there have been few rigorous examinations of how a…
Structural causal influence (SCI) captures the forces of social inequality in models of disease dynamics
Sudam Surasinghe, Swathi Nachiar Manivannan, Samuel V. Scarpino +2
Mathematical modeling has played a central role in understanding how infectious disease transmission manifests in populations. These models have demonstrated the importance of key…
The context-specificity of virulence evolution revealed through evolutionary invasion analysis
Sudam Surasinghe, Ketty Kabengele, Paul E. Turner +1
Models are often employed to integrate knowledge about epidemics across scales and simulate disease dynamics. While these approaches have played a central role in studying the mech…
Evaluating evolution as a learning algorithm
Miles Miller-Dickson, Christopher Rose, C. Brandon Ogbunugafor +1
We interpret the Moran model of natural selection and drift as an algorithm for learning features of a simplified fitness landscape, specifically genotype superiority. This algorit…
Immunity-induced criticality of the genotype network of influenza A (H3N2) hemagglutinin
Blake J. M. Williams, C. Brandon Ogbunugafor, Benjamin M. Althouse +1
Seasonal influenza kills hundreds of thousands every year, with multiple constantly-changing strains in circulation at any given time. A high mutation rate enables the influenza vi…