Social distancing impact in a discrete model for COVID-19

Authors

DOI:

https://doi.org/10.5902/2179460X66996

Keywords:

COVID-19, Modelos Discretos, SEIR, Distanciamento Social

Abstract

The main goal of this paper is to present a discrete SEIR model to analyse the effects of social distancing in the COVID-19 epidemics. Our results indicate that the efficiency of this nonpharmaceutical intervention depends on people engagement and on the duration of the control.

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Author Biographies

Diomar Cristina Mistro, Universidade Federal de Santa Maria, Santa Maria, RS

Professora do Departamento de Matemática da Universidade Federal de Santa Maria

Luiz Alberto Díaz Rodrigues, Universidade Federal de Santa Maria, Santa Maria, RS

Professor do Departamento de Matemática da Universidade Federal de Santa Maria

References

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BUCKEE, C.O. et al. Aggregated mobility data could help fight COVID-19. Science, 10, 368(6487), 145-146, 2020. doi: 10.1126/science.abb8021. Epub 2020 Mar 23. PMID: 32205458.Ciência e Natura 6

FERGUSON, N. M. et al. Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand. Imperial College Report, 2020. DOI: https://doi.org/10.25561/77482.

KERMACK, W. and MCKENDRICK, A. A contribution to the mathematical theory of epidemics. Proceedings of the Royal Society of London Series A, 115, 700-721, 1927.

NEVES, A. G. M. Quarentena para o COVID-19: início, intensidade e término. Preprint, 2020.

PREM, K. et al. The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study. Lancet Public Health., 2020. doi.org/10.1016/S2468-2667(20)30073-6.

Published

2021-11-08

How to Cite

Mistro, D. C., & Rodrigues, L. A. D. (2021). Social distancing impact in a discrete model for COVID-19. Ciência E Natura, 43, e12. https://doi.org/10.5902/2179460X66996

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