Author: Billy J Quilty; Charlie Diamond; Yang Liu; Hamish Gibbs; Timothy W Russell; Christopher I Jarvis; Kiesha Prem; Carl A B Pearson; Samuel J Clifford; Stefan Flasche; Petra Klepac; Rosalind M Eggo; Mark Jit
Title: The effect of inter-city travel restrictions on geographical spread of COVID-19: Evidence from Wuhan, China Document date: 2020_4_21
ID: 6kiv3qi5_19
Snippet: We assume that in the initial phases of the epidemic (prior to the cordon sanitaire), the effective daily reproduction number (Re) was 2.2 (15, 17) . The date at which the probability of sustained transmission exceeded a threshold of 95% (i.e, an outbreak occurring) given Re of 2.2 and k = 0.54 was used to evaluate the effect of travel restrictions (details in Supplementary Appendix 4). A sensitivity analysis for k using SARS-like (0.16) and H1N1.....
Document: We assume that in the initial phases of the epidemic (prior to the cordon sanitaire), the effective daily reproduction number (Re) was 2.2 (15, 17) . The date at which the probability of sustained transmission exceeded a threshold of 95% (i.e, an outbreak occurring) given Re of 2.2 and k = 0.54 was used to evaluate the effect of travel restrictions (details in Supplementary Appendix 4). A sensitivity analysis for k using SARS-like (0.16) and H1N1-like (2.0) overdispersion in Re is shown in Table S3 . To simulate the effect of local non-pharmaceutical intervention measures (NPIs) such as physical distancing and workplace and school closures in addition to travel restrictions (18), we compare Re=2.2 in the absence of interventions (no change, unmitigated local outbreak), to 1.1 (50% reduction, slowing epidemic, Re>1), or 0.55 (75% reduction, suppressing epidemic, Re<1). We assume additional interventions took effect on the same date as the introduction of the cordon sanitaire, 23 January 2020.
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