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Modelling the Potential Health Impact of the COVID-19 Pandemic on a Hypothetical European Country
Nick Wilson; Lucy Telfar Barnard; Amanda Kvalsig; Ayesha Verrall; Michael G Baker; Markus Schwehm.
Affiliation
  • Nick Wilson; University of Otago, Wellington
  • Lucy Telfar Barnard; University of Otago Wellington
  • Amanda Kvalsig; University of Otago Wellington
  • Ayesha Verrall; University of Otago Wellington
  • Michael G Baker; University of Otago Wellington
  • Markus Schwehm; Explosys
Preprint in English | medRxiv | ID: ppmedrxiv-20039776
ABSTRACT
A SEIR simulation model for the COVID-19 pandemic was developed (http//covidsim.eu) and applied to a hypothetical European country of 10 million population. Our results show which interventions potentially push the epidemic peak into the subsequent year (when vaccinations may be available) or which fail. Different levels of control (via contact reduction) resulted in 22% to 63% of the population sick, 0.2% to 0.6% hospitalised, and 0.07% to 0.28% dead (n=6,450 to 28,228).
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: medRxiv Type of study: Experimental_studies Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Experimental_studies Language: English Year: 2020 Document type: Preprint
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