Author: Svetoslav Bliznashki
Title: A Bayesian Logistic Growth Model for the Spread of COVID-19 in New York Document date: 2020_4_7
ID: lhv83zac_2
Snippet: where C is the cumulative number of infected individuals, r is the infection rate, and K is the upper asymptote (i.e. the upper limit of individuals infected during the epidemic). Unlike other models, like SIR, Eq. 1 has an explicit analytical solution:.....
Document: where C is the cumulative number of infected individuals, r is the infection rate, and K is the upper asymptote (i.e. the upper limit of individuals infected during the epidemic). Unlike other models, like SIR, Eq. 1 has an explicit analytical solution:
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