Title:	COVID19 Epidemiological Modeling
DNr:	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