Ecology of viral pathogens

Can we use ecological information to make predictions about emerging viral pathogens? We apply biotic interaction inference techniques, network analysis, and secies distributions models, to provide mapping of the risk posed by various groups of pathogens.

This research provides a challenging opportunity to apply methods from fundamental computational ecology into a new area. We work within the VERENA consortium to build models that help assess the emergence risk of various viruses, in collaboration with disease ecologists, public health scientists, and virologists, we can give these tools a new life!

Selected articles

Predicting Wildlife Hosts of Betacoronaviruses for SARS-CoV-2 Sampling Prioritization
Becker, D. J. Albery, G. F. Sjodin, A. R. Poisot, T. Dallas, T. A. Eskew, E. A. Farrell, M. J. Guth, S. Han, B. A. Simmons, N. B. Carlson, C. J.
Testing Predictability of Disease Outbreaks With a Simple Model of Pathogen Biogeography
Dallas, T. A. Carlson, C. J. Poisot, T.
Data Proliferation, Reconciliation, and Synthesis in Viral Ecology
Gibb, R. Albery, G. F. Becker, D. J. Brierley, L. Connor, R. Dallas, T. A. Eskew, E. A. Farrell, M. J. Rasmussen, A. L. Ryan, S. J. Sweeny, A. R. Carlson, C. J. Poisot, T.
Ongoing Worldwide Homogenization of Human Pathogens
Poisot, T. Nunn, C. Morand, S.