What is the potential for a second peak in the evolution of SARS-CoV-2 in emerging and developing economies? Insights from a SIRASD model considering the informal economy

Marcelo A. Pires, Nuno Crokidakis, Daniel Cajueiro, Marcio Argollo de Menezes and Silvio M. Duarte Queirós
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Marcelo A. Pires: Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro/RJ, Brazil
Nuno Crokidakis: #x2020;Instituto de Física, Universidade Federal Fluminense, Niterói/RJ, Brazil
Marcio Argollo de Menezes: #x2020;Instituto de Física, Universidade Federal Fluminense, Niterói/RJ, Brazil‡Instituto Nacional de Ciência e Tecnologia de Sistemas Complexos INCT-SC, Rio de Janeiro/RJ, Brazil
Silvio M. Duarte Queirós: Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro/RJ, Brazil‡Instituto Nacional de Ciência e Tecnologia de Sistemas Complexos INCT-SC, Rio de Janeiro/RJ, Brazil

International Journal of Modern Physics C (IJMPC), 2021, vol. 32, issue 08, 1-25

Abstract: We study the potential scenarios from a Susceptible-Infected-Recovered-Asymptomatic-Symptomatic-Dead (SIRASD) model. As a novelty, we consider populations that differ in their degree of compliance with social distancing policies following socioeconomic attributes that are observed in emerging and developing countries. Considering epidemiological parameters estimated from data of the propagation of SARS-CoV-2 in Brazil — where there is a significant stake of the population making their living in the informal economy and thus prone to not follow self-isolation — we assert that if the confinement measures are lifted too soon, namely as much as one week of consecutive declining numbers of new cases, it is very likely the appearance of a second peak. Our approach should be valid for any country where the number of people involved in the informal economy is a large proportion of the total labor force. In summary, our results point out the crucial relevance of target policies for supporting people in the informal economy to properly comply with preventive measures during the pandemic.

Keywords: Economic features; collective phenomena; epidemic modeling (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1142/S0129183121501072

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