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Assessing the nationwide impact of COVID-19 mitigation policies on the transmission rate of SARS-CoV-2 in Brazil.
Jorge, Daniel C P; Rodrigues, Moreno S; Silva, Mateus S; Cardim, Luciana L; da Silva, Nívea B; Silveira, Ismael H; Silva, Vivian A F; Pereira, Felipe A C; de Azevedo, Arthur R; Amad, Alan A S; Pinho, Suani T R; Andrade, Roberto F S; Ramos, Pablo I P; Oliveira, Juliane F.
Affiliation
  • Jorge DCP; Instituto de Fisica, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
  • Rodrigues MS; Fundação Oswaldo Cruz, Porto Velho, Rondônia, Brazil.
  • Silva MS; Instituto de Fisica, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
  • Cardim LL; Center for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Bahia, Brazil.
  • da Silva NB; Center for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Bahia, Brazil; Instituto de Matemática e Estatística, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
  • Silveira IH; Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
  • Silva VAF; Center for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Bahia, Brazil.
  • Pereira FAC; Instituto de Física, Universidade de São Paulo, São Paulo, Brazil.
  • de Azevedo AR; Instituto de Matemática e Estatística, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
  • Amad AAS; College of Engineering, Swansea University, Swansea, Wales, United Kingdom.
  • Pinho STR; Instituto de Fisica, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
  • Andrade RFS; Instituto de Fisica, Universidade Federal da Bahia, Salvador, Bahia, Brazil; Center for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Bahia, Brazil.
  • Ramos PIP; Center for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Bahia, Brazil.
  • Oliveira JF; Center for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Bahia, Brazil; Centre of Mathematics of the University of Porto (CMUP), Department of Mathematics, Porto, Portugal. Electronic address: julianlanzin@gmail.com.
Epidemics ; 35: 100465, 2021 06.
Article in En | MEDLINE | ID: mdl-33984687
ABSTRACT
COVID-19 is now identified in almost all countries in the world, with poorer regions being particularly more disadvantaged to efficiently mitigate the impacts of the pandemic. In the absence of efficient therapeutics or large-scale vaccination, control strategies are currently based on non-pharmaceutical interventions, comprising changes in population behavior and governmental interventions, among which the prohibition of mass gatherings, closure of non-essential establishments, quarantine and movement restrictions. In this work we analyzed the effects of 707 governmental interventions published up to May 22, 2020, and population adherence thereof, on the dynamics of COVID-19 cases across all 27 Brazilian states, with emphasis on state capitals and remaining inland cities. A generalized SEIR (Susceptible, Exposed, Infected and Removed) model with a time-varying transmission rate (TR), that considers transmission by asymptomatic individuals, is presented. We analyze the effect of both the extent of enforced measures across Brazilian states and population movement on the changes in the TR and effective reproduction number. The social mobility reduction index, a measure of population movement, together with the stringency index, adapted to incorporate the degree of restrictions imposed by governmental regulations, were used in conjunction to quantify and compare the effects of varying degrees of policy strictness across Brazilian states. Our results show that population adherence to social distance recommendations plays an important role for the effectiveness of interventions and represents a major challenge to the control of COVID-19 in low- and middle-income countries.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Communicable Disease Control / SARS-CoV-2 / COVID-19 Type of study: Guideline / Prognostic_studies Aspects: Determinantes_sociais_saude Limits: Humans Country/Region as subject: America do sul / Brasil Language: En Journal: Epidemics Year: 2021 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Communicable Disease Control / SARS-CoV-2 / COVID-19 Type of study: Guideline / Prognostic_studies Aspects: Determinantes_sociais_saude Limits: Humans Country/Region as subject: America do sul / Brasil Language: En Journal: Epidemics Year: 2021 Document type: Article Affiliation country: