Mathematical Models of Infectious Diseases - Consequences of Underlying Assumption

Mathematical Models of Infectious Diseases - Consequences of Underlying Assumption

Explore the intricacies of mathematical modeling for infectious diseases in this 52-minute seminar presented by Zhilan Feng from Purdue University. Delve into the consequences of underlying assumptions in model construction and their impact on disease dynamics predictions. Gain valuable insights into the complexities of epidemiological modeling as part of the MfPH Next Generation Seminar Series hosted by the Fields Institute.