Ciência & Saúde Coletiva· 2020Q2
Medidas de distanciamento social no controle da pandemia de COVID-19: potenciais impactos e desafios no Brasil
- 1,098citations
- Q2SCImago
- 2020year
Short summary
Social distancing measures, especially when combined with case isolation and contact quarantining, appear effective in controlling the COVID-19 pandemic.
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Key points
- Social distancing measures are effective in controlling the COVID-19 pandemic.
- Effectiveness is enhanced when combined with case isolation and contact quarantining.
- Social protection policies are crucial for the sustainability of distancing measures.
- Strengthening Brazil's SUS epidemiological monitoring, testing capacity, and data transparency is vital.
AI-generated from the title and abstract; the full text is not read.
Abstract
The COVID-19 pandemic has challenged researchers and policy makers to identify public safety measures forpreventing the collapse of healthcare systems and reducingdeaths. This narrative review summarizes the available evidence on the impact of social distancing measures on the epidemic and discusses the implementation of these measures in Brazil. Articles on the effect of social distancing on COVID-19 were selected from the PubMed, medRXiv and bioRvix databases. Federal and state legislation was analyzed to summarize the strategies implemented in Brazil. Social distancing measures adopted by the population appear effective, particularly when implemented in conjunction with the isolation of cases and quarantining of contacts. Therefore, social distancing measures, and social protection policies to guarantee the sustainability of these measures, should be implemented. To control COVID-19 in Brazil, it is also crucial that epidemiological monitoring is strengthened at all three levels of the Brazilian National Health System (SUS). This includes evaluating and usingsupplementary indicators to monitor the progression of the pandemic and the effect of the control measures, increasing testing capacity, and making disaggregated notificationsand testing resultstransparentand broadly available.
The authors' abstract, as published at the source. Ciência & Saúde Coletiva, 2020 · DOI ↗
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Field: Modeling and Simulation
Modeling and SimulationMathematics