Explore an epidemiological model examining individuals' self-isolation decisions during an epidemic, presented in this 49-minute Dynamic Games and Applications Seminar talk. Delve into the unique symmetric equilibrium where uncertainty about personal infection status and epidemic dynamics can trigger additional infection waves. Discover how the model, calibrated to the COVID-19 pandemic, simulates various scenarios to illustrate uncertainty's impact on self-isolation behaviors. Learn why uncertainty about epidemic dynamics may surprisingly improve welfare in terms of both mortality rates and average payoffs, as discussed by Chantal Marlats from Université Panthéon-Assas, Paris II, in collaboration with Dominique Baril-Tremblay and Lucie Ménager.