Vertical social distancing policy is ineffective to contain the COVID-19 pandemic

Author:

Duczmal Luiz Henrique1ORCID,Almeida Alexandre Celestino Leite2ORCID,Duczmal Denise Bulgarelli1ORCID,Alves Claudia Regina Lindgren1ORCID,Magalhães Flávia Costa Oliveira3ORCID,Lima Max Sousa de4ORCID,Silva Ivair Ramos5ORCID,Takahashi Ricardo Hiroshi Caldeira1ORCID

Affiliation:

1. Universidade Federal de Minas Gerais, Brazil

2. Universidade Federal de São João del-Rei, Brazil

3. Polícia Civil de Minas Gerais, Brazil

4. Universidade Federal do Amazonas, Brazil

5. Universidade Federal de Ouro Preto, Brazil

Abstract

Abstract: Considering numerical simulations, this study shows that the so-called vertical social distancing health policy is ineffective to contain the COVID-19 pandemic. We present the SEIR-Net model, for a network of social group interactions, as a development of the classic mathematical model of SEIR epidemics (Susceptible-Exposed-Infected (symptomatic and asymptomatic)-Removed). In the SEIR-Net model, we can simulate social contacts between groups divided by age groups and analyze different strategies of social distancing. In the vertical distancing policy, only older people are distanced, whereas in the horizontal distancing policy all age groups adhere to social distancing. These two scenarios are compared to a control scenario in which no intervention is made to distance people. The vertical distancing scenario is almost as bad as the control, both in terms of people infected and in the acceleration of cases. On the other hand, horizontal distancing, if applied with the same intensity in all age groups, significantly reduces the total infected people “flattening the disease growth curve”. Our analysis considers the city of Belo Horizonte, Minas Gerais State, Brazil, but similar conclusions apply to other cities as well. Code implementation of the model in R-language is provided in the supplementary material.

Publisher

FapUNIFESP (SciELO)

Subject

Public Health, Environmental and Occupational Health

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