Author: Markus Mueller; Peter Derlet; Christopher Mudry; Gabriel Aeppli
Title: Using random testing to manage a safe exit from the COVID-19 lockdown Document date: 2020_4_14
ID: loi1vs5y_173
Snippet: In the simplest approximation, one assumes no contact between geographically distinct groups, that is, the offdiagonal matrix elements are set to zero [K m =n (t) = 0] and the eigenvalues become equal to elements of the diagonal: k m (t) ≡ K mm (t). As current cantonal data suggests, the local growth rate k m (t) depends on the region, and thus k m (t) = k n (t). It is natural to expect that k m (t) correlates with the population density, the f.....
Document: In the simplest approximation, one assumes no contact between geographically distinct groups, that is, the offdiagonal matrix elements are set to zero [K m =n (t) = 0] and the eigenvalues become equal to elements of the diagonal: k m (t) ≡ K mm (t). As current cantonal data suggests, the local growth rate k m (t) depends on the region, and thus k m (t) = k n (t). It is natural to expect that k m (t) correlates with the population density, the fraction of the population that commutes, the age distribution, etc.
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