Author: Janik Schuttler; Reinhard Schlickeiser; Frank Schlickeiser; Martin Kroger
Title: Covid-19 predictions using a Gauss model, based on data from April 2 Document date: 2020_4_11
ID: 14x9luqu_53
Snippet: Doubling times -Doubling times, here denoted by k, are used to characterize the strength of an exponential growth process, independent of the exponential amplitude. A doubling time quantifies the time span required for the exponential to double (or, up to convention, to have doubled). Assuming a purely exponential growth, both d(t) = d max exp(νt) and D(t) = d(t)/ν increase mono-exponentially with time, and the doubling time k is a constant, k .....
Document: Doubling times -Doubling times, here denoted by k, are used to characterize the strength of an exponential growth process, independent of the exponential amplitude. A doubling time quantifies the time span required for the exponential to double (or, up to convention, to have doubled). Assuming a purely exponential growth, both d(t) = d max exp(νt) and D(t) = d(t)/ν increase mono-exponentially with time, and the doubling time k is a constant, k = ν −1 ln 2, while ν = d (t)/d(t) = D (t)/D(t). For the GM the doubling time based on d(t) is thus given by
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