HIGHLIGHTS
SUMMARY
For COVID-19, one critical issue is the known substantial variation in COVID-19 infection and mortality risk associated with deprivation1. In these early epidemic stages case data were unevenly recorded, therefore the authors use this model to estimate transmission characteristics by fitting it to the observed number of COVID-19 related deaths using Approximate Bayesian inference. The aim is to estimate the impact of travel restrictions and transmission reduction on the spread of COVID-19, and to assess the impact of measures of deprivation to estimate its impact on COVID-19 related mortality . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.