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UID:20260623T214530EDT-9291xUvg4V@132.216.98.100
DTSTAMP:20260624T014530Z
DESCRIPTION:Dynamic Games and Applications Seminar\n\nSpeaker: Fouad El Oua
 rdighi – ESSEC Business School\, France\n\nZoom link\n	Meeting ID: 962 7774
  9870\n	Passcode: 285404\n\nAbstract:\n\n The primary issue in this paper i
 s to determine whether mobility restrictions or securing social interactio
 ns is most effective in countering an epidemic disease that spreads also v
 ia asymptomatic transmission. We develop an optimal control policy model w
 herein i) treatment capabilities are endogenous\, ii) the social loss due 
 to disease-related deaths is part of the tradeoff in terms of health and s
 ocial welfare perspectives\, iii) the policymaker's inability to counter t
 he disease gives rise to growing popular discontent over time\, and iv) no
 ntherapeutic intervention policy engenders social fatigue over time. We al
 so allow for partial immunity upon recovery. In many ways\, our model appl
 ies to the recent pandemic caused by the SARS-Cov-2 virus. In this setup\,
  we identify which non-therapeutic policy option between mobility restrict
 ions or securing social interactions most effectively minimizes both the i
 mpact of policymaker's inability and the ensuing popular discontent and so
 cial fatigue.\n
DTSTART:20210121T160000Z
DTEND:20210121T170000Z
LOCATION:CA\, ZOOM
SUMMARY:Control of an epidemic with endogenous treatment capability under p
 opular discontent and social fatigue
URL:/cim/channels/event/control-epidemic-endogenous-tr
 eatment-capability-under-popular-discontent-and-social-fatigue-327856
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