Author: Alex Arenas; Wesley Cota; Jesus Gomez-Gardenes; Sergio Gómez; Clara Granell; Joan T. Matamalas; David Soriano-Panos; Benjamin Steinegger
Title: A mathematical model for the spatiotemporal epidemic spreading of COVID19 Document date: 2020_3_23
ID: knt1f78p_25
Snippet: Here we assess the performance of different containment measures to reduce the impact of COVID-19 using the mathematical model. To incorporate containment policies in our formalism, we assume that a given fraction of the population κ 0 is isolated at home. In this sense, let us remark that parameter κ 0 allows us to change the level of resolution while studying the propagation of COVID-19. Namely, with κ 0 = 0 we recover the well-mixing assump.....
Document: Here we assess the performance of different containment measures to reduce the impact of COVID-19 using the mathematical model. To incorporate containment policies in our formalism, we assume that a given fraction of the population κ 0 is isolated at home. In this sense, let us remark that parameter κ 0 allows us to change the level of resolution while studying the propagation of COVID-19. Namely, with κ 0 = 0 we recover the well-mixing assumption within the same municipality described in previous sections -since active population movements promote the interaction between members from different households-whereas κ 0 = 1 isolates the households from each other, thus constraining the transmission dynamics at the level of household rather than municipality. From the former assumptions, we compute the average number of contacts of agents belonging to each group g as
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