2021•The European Physical Journal PlusOpen access

A simplified estimate of the effective reproduction number $$R_t$$ using its relation with the doubling time and application to Italian COVID-19 data

Gianluca Bonifazi, L. Lista, Dario Menasce, M. Mezzetto, Д. Педрини, Roberto Spighi, Antonio Zoccoli

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Abstract

Abstract A simplified method to compute $$R_t$$ R t , the effective reproduction number, is presented. The method relates the value of $$R_t$$ R t to the estimation of the doubling time performed with a local exponential fit. The condition $$R_t=1$$ R t = 1 corresponds to a growth rate equal to zero or equivalently an infinite doubling time. Different assumptions on the probability distribution of the generation time are considered. A simple analytical solution is presented in case the generation time follows a gamma distribution.

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Abstract A simplified method to compute $$R_t$$ R t , the effective reproduction number, is presented. The method relates the value of $$R_t$$ R t to the estimation of the doubling time performed with a local exponential fit. The condition $$R_t=1$$ R t = 1 corresponds to a growth rate equal to zero or equivalently an infinite doubling time. Different assumptions on the probability distribution of the generation time are considered. A simple analytical solution is presented in case the generation time follows a gamma distribution.

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Available abstract

Abstract A simplified method to compute $$R_t$$ R t , the effective reproduction number, is presented. The method relates the value of $$R_t$$ R t to the estimation of the doubling time performed with a local exponential fit. The condition $$R_t=1$$ R t = 1 corresponds to a growth rate equal to zero or equivalently an infinite doubling time. Different assumptions on the probability distribution of the generation time are considered. A simple analytical solution is presented in case the generation time follows a gamma distribution.

Key concepts: Doubling time, Generation time, Mathematics, Coronavirus disease 2019 (COVID-19), Applied mathematics, Simple (philosophy), Gamma distribution, Distribution (mathematics)

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