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SUMMARY:Introducing JUNE - an open-source epidemiological simulation
DTSTART;TZID=Europe/Berlin:20210624T161500
DTEND:20210624T173000
DTSTAMP:20260404T164101Z
UID:e9bc0469968e4712bc019627aee41fc9@www.uni-bonn.de
CREATED:20210531T083947Z
DESCRIPTION:Bethe Colloquium \nby Frank Krauss (Durham University) \nAbstr
 act: We constructed a detailed digital twin of the UK population\, with su
 preme social and geographical granularity\, representing 55 million reside
 nts in England and Wales and tracing their daily movements and activities.
  The spread of the infection is propagated through the virtual population 
 through simulated social contacts. The progress of the disease in infected
  individuals and their trajectory through the healthcare system is modelle
 d based on public health data.  We resolve the spatio-temporal development
  of the disease spread through the population in great detail and are able
  to find non-trivial correlations of infection and fatality rares with a v
 ariety of societal factors.  Our model has been proven in the midst of the
  current crisis and is currently being used by NHS-England’s COVID-19 re
 sponse team to inform their strategic and operational planning.
LAST-MODIFIED:20221130T101620Z
URL:https://www.uni-bonn.de/de/veranstaltungen/introducing-june-an-open-so
 urce-epidemiological-simulation
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