Author: Benjamin F Maier; Dirk Brockmann
Title: Effective containment explains sub-exponential growth in confirmed cases of recent COVID-19 outbreak in Mainland China Document date: 2020_2_20
ID: j0nm444m_43
Snippet: We find that the model accurately reflects both the subexponential growth as well as the saturating behavior observed in the data discussed in the main text, with the obtained fit parameters displayed in Tab. I. For the 9 majorly affected provinces and the aggregated data over all provinces except Hubei, the quarantine probability is found to have similar values of Q = 0.6 ± 0.1. The public containment leverage is fluctuating more strongly with .....
Document: We find that the model accurately reflects both the subexponential growth as well as the saturating behavior observed in the data discussed in the main text, with the obtained fit parameters displayed in Tab. I. For the 9 majorly affected provinces and the aggregated data over all provinces except Hubei, the quarantine probability is found to have similar values of Q = 0.6 ± 0.1. The public containment leverage is fluctuating more strongly with values ranging between P = 0.07 and P = 1, where generally, lower values appear concurrently with a higher quarantine probability, which suggests that stronger quarantine implementation requires less public . CC-BY-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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