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DESCRIPTION:Isabelle Rao\, PhD\n\nAssistant Professor | Mechanical & Indust
 rial Engineering\n	University of Toronto\n\nWHEN: Monday\, November 3\, 202
 5\, from 3:30-4:30 p.m.\n	WHERE: Hybrid | 2001 9I制作厂免费 College\, Rm 1140 | Z
 oom\n	NOTE: Isabelle Rao will be presenting in-person\n\nThe Seminars in Ep
 idemiology organized by the Department of Epidemiology\, Biostatistics and
  Occupational Health at the 9I制作厂免费 School of Population and Global Health 
 is a self-approved Group Learning Activity (Section 1) as defined by the m
 aintenance of certification program of the Royal College of Physicians and
  Surgeons of Canada.\n	Physicians requiring accreditation\, please complete
  the Evaluation Form and send to admincoord.eboh [at] mcgill.ca\n\nAbstrac
 t\n\nPolicy makers make consequential choices on how to allocate limited h
 ealth resources to improve population health. My research aims to find ave
 nues to optimize the use of these resources. My talk addresses the problem
  of how to optimally allocate limited vaccines to control the spread of an
  infectious disease. By approximating epidemic dynamics\, I develop simple
  analytical conditions characterizing the optimal vaccine allocation for f
 our different objectives. I show that the approximated solution is an all-
 or-nothing allocation based on a prioritized list of population groups giv
 en by the analytical conditions. I illustrate my method with an example of
  COVID-19 vaccination\, calibrated to epidemic data from New York State. N
 umerical computations show that my method achieves near-optimal results ov
 er a wide range of scenarios. Although black-box models are prevalent in t
 he literature\, my work shows that accuracy need not be sacrificed for int
 erpretability. My methods provide practical\, intuitive and accurate tools
  for decision makers as they allocate vaccines over time.\n\nLearning Obje
 ctives\n\nAt the end of this talk\, attendees will understand:\n\n\n	The st
 ructure of the epidemic model used to study vaccine allocation across popu
 lation groups.\n	How to translate transmission dynamics into tractable deci
 sion rules for vaccine prioritization.\n	Empirical performance of simple al
 location rules when calibrated to real epidemic data.\n\n\nSpeaker Bio\n\n
 Isabelle Rao is an Assistant Professor at the University of Toronto in the
  Department of Mechanical and Industrial Engineering. Her research focuses
  on developing mathematical models to inform decisions in public-health re
 source allocation. In particular\, she develops epidemic models to guide v
 accine distribution strategies and dynamic models of opioid use disorder t
 o study the impact of housing and treatment programs. Previously\, she was
  a postdoctoral research fellow at INSEAD. She received her PhD in Managem
 ent Science and Engineering from Stanford University.\n
DTSTART:20251103T203000Z
DTEND:20251103T213000Z
SUMMARY:Optimal Responses to Epidemics: Models to Support Good Decisions 
URL:/epi-biostat-occh/channels/event/optimal-responses
 -epidemics-models-support-good-decisions-368624
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