Author: Jean Roch Donsimoni; René Glawion; Bodo Plachter; Constantin Weiser; Klaus Wälde
Title: Should contact bans be lifted in Germany? A quantitative prediction of its effects Document date: 2020_4_14
ID: h86mpz6o_35
Snippet: After some steps (see Donsimoni et al., 2020a) , our model can be summarized by an ordinary di¤erential equation system. The (expected) number of individuals in state s is described by system (3). Parameters not described above are r; 23 ; n rec and N . The probability to turn sick after an infection with SARS-CoV-2 is denoted by r: The death rate for the transition of sick individuals from state 2 to state 3 visible in …gure 4 is denoted by 2.....
Document: After some steps (see Donsimoni et al., 2020a) , our model can be summarized by an ordinary di¤erential equation system. The (expected) number of individuals in state s is described by system (3). Parameters not described above are r; 23 ; n rec and N . The probability to turn sick after an infection with SARS-CoV-2 is denoted by r: The death rate for the transition of sick individuals from state 2 to state 3 visible in …gure 4 is denoted by 23 : We assume that it takes (on average) n rec days to recover from being sick, i.e. to move from state 2 to state 4: Finally, the population size (before the epidemic) is given by N:
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