Author: Andrew J Stier; Marc G Berman; Luis M. A. Bettencourt
Title: COVID-19 attack rate increases with city size Document date: 2020_3_27
ID: aeminwf0_65
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.03.22.20041004 doi: medRxiv preprint Supplementary Figure 4 : Scaling Plots for alternate methods for estimating COVID-19 case growth rates. Both alternate methods produce growth rates which show scaling relationships with city size consistent with Figure 1a . Growth rates were estimated with (a) a linear regression, as in Figure 1a , to dat.....
Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.03.22.20041004 doi: medRxiv preprint Supplementary Figure 4 : Scaling Plots for alternate methods for estimating COVID-19 case growth rates. Both alternate methods produce growth rates which show scaling relationships with city size consistent with Figure 1a . Growth rates were estimated with (a) a linear regression, as in Figure 1a , to data from March 16th to March 23rd (b) r = ln(cases T /cases 0 )/T to data from March 13th to March 25th. This is an estimate of the slope of the line ln(cases) ∼ ln(a) + r · t from the first and last points of the time series.
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