Eric M. Patterson

This study develops a data-driven epidemiological model for bottlenose dolphins to understand disease spread and improve outbreak preparedness by analyzing spatial and contact structures.

This study examines how social breathing behavior in bottlenose dolphins influences respiratory virus transmission risk by analyzing contact patterns and demographic differences.

This paper develops a machine learning model to detect skin lesions in bottlenose dolphins and estimates lesion prevalence, finding high model accuracy and a positive relationship between lesion presence and gregariousness.