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. 2020 Dec 2;7(12):201878. doi: 10.1098/rsos.201878

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© 2020 The Authors.

Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

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Figure 11. — In this figure, we plot the rate of transmission obtained by using the reported cases of COVID-19 in China with the parameters f = 0.5 and ν = 0.2. We first regularize the data by applying the Matlab function CR_Data = smoothdata(CR_Data, ‘gaussian’,50). Then we apply algorithm 2 to the regularized data. In (a), we plot the regularized cumulative number of reported cases obtained after smoothing (black dots) and the model (blue curve). In (b), we plot the daily rate of transmission obtained by using algorithm 2. We see that we can fit the data perfectly and this time the rate of transmission is becoming reasonable.