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_44
Snippet: We have presented a mathematical model based on a Microscopic Markov Chain Approach (MMCA) for the spatio-temporal spreading of COVID-19. The model captures human behavior features such as: the urban demography, age strata, age-structured contact patterns, and daily recurrent mobility flows. Importantly, the epidemiological and human characteristics present in this model provides with the possibility of a rapid and reliable evaluation of differen.....
Document: We have presented a mathematical model based on a Microscopic Markov Chain Approach (MMCA) for the spatio-temporal spreading of COVID-19. The model captures human behavior features such as: the urban demography, age strata, age-structured contact patterns, and daily recurrent mobility flows. Importantly, the epidemiological and human characteristics present in this model provides with the possibility of a rapid and reliable evaluation of different containment policies.
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