Researchers at the USGS are working on developing new quantitative methods to study disease dynamics in wildlife systems as well as systems at the wildlife-domestic-human interface. Much of our work focuses on how host population structure affects disease invasion, persistence and control in wildlife disease systems. We tackle these issues with a combination of simulation and statistical modeling approaches.
Below are publications associated with this project.
Contact and contagion: Probability of transmission given contact varies with demographic state in bighorn sheep
Unraveling the disease consequences and mechanisms of modular structure in animal social networks
Inferring infection hazard in wildlife populations by linking data across individual and population scales
Disease introduction is associated with a phase transition in bighorn sheep demographics
When environmentally persistent pathogens transform good habitat into ecological traps
Social living mitigates the costs of a chronic illness in a cooperative carnivore
Assembling evidence for identifying reservoirs of infection
Utility of R0 as a predictor of disease invasion in structured populations
Duelling timescales of host mixing and disease spread determine invasion of disease in structured populations
Should we expect population thresholds for wildlife disease?
Researchers at the USGS are working on developing new quantitative methods to study disease dynamics in wildlife systems as well as systems at the wildlife-domestic-human interface. Much of our work focuses on how host population structure affects disease invasion, persistence and control in wildlife disease systems. We tackle these issues with a combination of simulation and statistical modeling approaches.
Below are publications associated with this project.