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VERSION:2.0
PRODID:-//Memento EPFL//
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SUMMARY:EESS talk on "Epidemiological modelling during the COVID-19 pandem
 ic: between Science and Public Health"
DTSTART:20201215T121500
DTEND:20201215T130000
DTSTAMP:20260408T085301Z
UID:37665cffcf476b8a9da70722d5d60a10791034d40aefd7845f4c6d94
CATEGORIES:Conferences - Seminars
DESCRIPTION:Joseph C. Lemaître\, Doctoral Assistant\, Ecohydrology Labora
 tory\, IIE\nAbstract:\nCoronavirus disease 2019 (COVID-19) has caused stra
 in on health systems worldwide due to its high mortality rate and the larg
 e portion of cases requiring critical care and mechanical ventilation. Du
 ring these uncertain times\, public health decision makers\, from city hea
 lth departments to federal agencies\, sought the use of epidemiological mo
 dels for decision support in allocating resources\, developing non-pharma
 ceutical interventions\, and characterizing the dynamics of COVID-19 in th
 eir jurisdictions. In response\, the IDDynamics group at JHU developed a 
 flexible scenario modelling pipeline that could quickly tailor models for 
 decision makers seeking to compare projections of epidemic trajectories an
 d healthcare impacts from multiple intervention scenarios in different lo
 cations. \nAt the same time\, scientists sought to better understand tran
 smission dynamics and general epidemiology of COVID-19. Doing so with ava
 ilable data presents many challenges\, with critical implications for the
  interpretation of the course of the pandemic. One possible approach\, us
 ed at the Laboratory of Eco-hydrology\, is inference on epidemiological m
 odels. Using reported data and our knowledge of infectious disease dynamic
 s\, it is possible to derive information on e.g\, the variations of the 
 reproduction number\, the serial interval\, the effectiveness of past non
  pharmaceutical interventions ... These quantities carry scientific inter
 est and\, with proper care\, may be useful for scenario planning.\nThis 
 talk explores the feedback loop between epidemiological modelling for infe
 rence and for scenario planning to advise decision makers. It focuses on m
 ostly on the first months of the COVID-19 pandemic\, when very incomplete
  information on disease transmission was available.\n\nShort biography:\nJ
 oseph Lemaitre is a PhD student working on infectious disease epidemiolog
 y in the Laboratory of Eco-hydrology\, EPFL. His dissertation focuses on c
 holera transmission modelling and in optimal allocation of control ressou
 rces. From February\, he was visiting the Infectious Disease Dynamics grou
 p at the Johns Hopkins Bloomberg School of Public Health on a SNF Mobility
  Grant. There\, he has been developing the JHU COVIDScenarioPipeline\, us
 ed by several countries and states to inform public health decisions for t
 he COVID-19 pandemic. In Switzerland\, Joseph Lemaitre has performed work
  as part of the Modelling group of the Swiss National COVID-19 Science Tas
 k Force\, and scenario planning work for Canton de Vaud and CHUV.\n 
LOCATION:ZOOM
STATUS:CONFIRMED
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