COVID19 Epidemiological Modeling
Title: COVID19 Epidemiological Modeling
SNIC Project: SNIC 2020/5-176
Project Type: SNIC Medium Compute
Principal Investigator: Lynn Kamerlin <lynn.kamerlin@kemi.uu.se>
Affiliation: Uppsala universitet
Duration: 2020-03-21 – 2020-06-01
Classification: 30302
Keywords:

Abstract

COVID19 is the major health issue of our times, having been declared a pandemic by the WHO. A recent report from Imperial College by Ferguson and coworkers* played a major role in redirecting the UK government's strategy from mitigation to suppression. We are a group of researchers with expertise spanning epidemiology, virology, infectious disease, and computational biology, who are performing a similar epidemiological analysis testing different scenarios and outcomes for Swedish healthcare, in order to be able to propose best practice guidelines based on rigorous data analysis. * https://www.imperial.ac.uk/media/imperial-college/medicine/sph/ide/gida-fellowships/Imperial-College-COVID19-NPI-modelling-16-03-2020.pdf