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Abstract (1) Background The estimation of daily reproduction rates throughout the infectivity period is rarely considered and only their sum R o is calculated to quantify the level of virulence of an infectious agent; (2) Methods We give the equation of the discrete dynamics of epidemic growth and we obtain an estimation of the daily reproduction rates, by using a technique of deconvolution of the series of observed new cases of Covid-19; (3) Results We give both simulation results as well as estimations for several countries for the Covid-19 outbreak; (4) Conclusions We discuss the role of the noise on the precision of the estimation and we open on perspectives of forecasting methods to predict the distribution of daily reproduction rates along the infectivity period.
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Demongeot et al. (2021) studied this question.
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