BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:LSOA level risk model and early detection system\; a framework to 
 incorporate mobility\, vaccination\, health background\, land use factors\
 , and socioeconomic and demographic characteristics in evaluating COVID19 
 prevalence and risk - Dr Kaveh Jahanshahi\, Office of National Statistics
DTSTART:20210609T150000Z
DTEND:20210609T160000Z
UID:TALK160975@talks.cam.ac.uk
CONTACT:Dr Ciara Dangerfield
DESCRIPTION:ONS Dara Science Campus is developing a COVID19 risk model and
  early detection system at spatially aggregated LSOA level. The aim is to 
 create a framework where the impact of NPIs  (e.g. through examining chang
 es in mobility indicators) can be evaluated after controlling for land use
  characteristics\, vaccination rate\, and socioeconomic and demographic fa
 ctors. The model also aims to predict the spatial distribution of the near
  future risks and detect the outliers as potential area of concerns.
LOCATION:Zoom
END:VEVENT
END:VCALENDAR