Pathogen Emergence As Complex Biological Invasion: Lessons From Dynamical Systems Modeling

Infectious disease emergence has become the target of cross-disciplinary efforts that aim to understand and predict shape outbreaks. The many challenges involved with prediction events is a characteristic in- fectious diseases share biological invasions in subfields ecology (e.g., how certain plants are able successfully invade new niche). Like infectious diseases, by animals involve interactions between agents (pathogens their respective cases) recipient niche. In this study, we examine problem pathogen through lens framework first developed for study plant invasions, restructured apply invaders. We utilize mathematical techniques com- plex dynamics emerge various actors multi-component invasion process, which implies frameworks can offer insight on particulars emergence. Summarizing, consider these re- sults context application epidemiology, more broadly regards modern bring vernacular complex systems real-world problems. doing so, demonstrate potential power math- ematizing conceptual models, connecting ideas across disparate fields, toward rigorous picture nuances underlie