BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250927T202333EDT-4914ShuWZu@132.216.98.100 DTSTAMP:20250928T002333Z DESCRIPTION:The Epidemiology and Economics of Physical Distancing during In fectious Disease Outbreaks\n\nTroy Day\, Queen's University\n Tuesday April 11\, 12-1pm\n Zoom Link: https://mcgill.zoom.us/j/86855481591\n\nAbstract:  People's incentives during an infectious disease outbreak influence their behaviour\, and this behaviour can impact how the outbreak unfolds. Early on during an outbreak\, people are at little personal risk of infection a nd hence may be unwilling to change their lifestyle to slow the spread of disease. As the number of cases grows\, however\, people may then voluntar ily take extreme measures to limit their exposure. In this talk I will use ideas from game theory to model how individuals’ incentives change during an outbreak\, and the epidemiological and economic consequences that ensu e when these incentives are acted upon. Motivated by the COVID-19 pandemic \, I focus on physical distancing behaviour. I show that there is a fundam ental difference in the political\, economic\, and health consequences of an infectious disease outbreak depending on the degree of asymptomatic tra nsmission. If transmission occurs primarily by asymptomatic carriers\, the n politicians will be incentivized to impose stay-at-home orders earlier a nd for longer than individuals would like. Despite such orders being unpop ular\, however\, they ultimately benefit all individuals. On the other han d\, if the disease is transmitted primarily by symptomatic infections\, th en individuals are incentivized to stay at home earlier and for longer tha n politicians would like. In this case\, politicians will be incentivized to impose back-to-work orders that\, despite being unpopular\, will again ultimately be to the benefit of all individuals.\n\nThis is joint work wit h David McAdams\, Fuqua School of Business and Economics Department\, Duke University.\n DTSTART:20230411T160000Z DTEND:20230411T170000Z SUMMARY:QLS Seminar Series - Troy Day URL:/qls/channels/event/qls-seminar-series-troy-day-34 7402 END:VEVENT END:VCALENDAR