Author: Saldana, F.; Velasco-Hernandez, J. X.
Title: The trade-off between mobility and vaccination for COVID-19 control: a metapopulation modeling approach Cord-id: bp9uty33 Document date: 2020_12_11
ID: bp9uty33
Snippet: November 2020 received a string of encouraging results from leading vaccine developers raising hopes for the imminent availability of an effective and safe vaccine against the SARS-CoV-2. In the present work, we discuss the theoretical impact of introducing a vaccine across a range of scenarios . In particular, we investigate how vaccination coverage, efficacy, and delivery time affect the control of the transmission dynamics in comparison to mobility restrictions. The analysis is based on a met
Document: November 2020 received a string of encouraging results from leading vaccine developers raising hopes for the imminent availability of an effective and safe vaccine against the SARS-CoV-2. In the present work, we discuss the theoretical impact of introducing a vaccine across a range of scenarios . In particular, we investigate how vaccination coverage, efficacy, and delivery time affect the control of the transmission dynamics in comparison to mobility restrictions. The analysis is based on a metapopulation epidemic model structured by risk. We perform a global sensitivity analysis using the Sobol method. Our analysis suggest that the reduction of mobility among patches play a significant role in the mitigation of the disease close to the effect of immunization coverage of 30% achieved in 4 months. Moreover, for an immunization coverage between 20%-50% achieved in the first half of 2021 with a vaccine efficacy between 70%-95%, the percentage reduction in the total number of SARS-CoV-2 infections is between 30%-50% by the end of 2021 in comparison with the no vaccination scenario.
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