Author: Joe Hilton; Matt J Keeling
Title: Estimation of country-level basic reproductive ratios for novel Coronavirus (COVID-19) using synthetic contact matrices Document date: 2020_2_27
ID: 96wkqutc_12
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.02.26.20028167 doi: medRxiv preprint Figure 1 : Estimated scaling factor σ for each country assuming no age-specific susceptibility. Gray countries are those not included in Prem et al.'s study [3] . set to one. We can therefore calculate a full set of scaling factors for every country without requiring an estimate of the basic reproductive.....
Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.02.26.20028167 doi: medRxiv preprint Figure 1 : Estimated scaling factor σ for each country assuming no age-specific susceptibility. Gray countries are those not included in Prem et al.'s study [3] . set to one. We can therefore calculate a full set of scaling factors for every country without requiring an estimate of the basic reproductive ratio in China; these scaling factors provide a measure of transmission relative to that observed in China, and can be used to generate country-specific basic reproductive ratios given a reliable estimate for China. Although we note that estimates for China differ widely depending on the time-scales examined ( R 0 = 2.2 [1] , R 0 = 2.3 − 2.6 [5] , R 0 = 2 − 2.7, [6] , R 0 = 2.35 [7] , R 0 = 3.11 [8] ).
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