“Flattening the curve”: effective measures from Niterói city (Rio de Janeiro, Brazil) for COVID-19 control
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | Relatório |
Idioma: | eng |
Título da fonte: | Cadernos Saúde Coletiva (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1414-462X2022005018202 |
Resumo: | Abstract Background In Brazil, some local city government’s adopted several measures, which probably had a positive impact on COVID-19 control. Objective To report the distribution of COVID-19 cases in Brazil, Rio de Janeiro state and Niterói city. In parallel, we aimed to demonstrate the preventive strategies adopted by Niterói city. Method Data provided by the Brazilian Ministry of Health and Municipal Health Foundation of Niterói were used to report COVID-19 cases and deaths. For some analysis, data were grouped by week and normalized for 100,000 inhabitants. Results By July 18th, 2020, Brazil reported 2,074,860 cases and 78,772 deaths and Rio de Janeiro state registered 135,230 cases and 11,919 deaths; both still presenting ascendant curves for COVID-19 deaths. In contrast, the rate of new deaths per 100,000 inhabitants is consistently lower in Niterói city. Importantly, we estimated that 712 deaths were prevented by the measures adopted by Niterói city, in comparison to which was observed in Rio de Janeiro. Conclusion The early preventive measures adopted in Niterói city were effective in reducing both the viral spread and rate of deaths. In this regard, this discussion could be relevant for making future decisions during the COVID-19 outbreak in Brazil. |
id |
UFRJ-7_7f63eafd5bb7445ca1f25b9c6dd9a0ed |
---|---|
oai_identifier_str |
oai:scielo:S1414-462X2022005018202 |
network_acronym_str |
UFRJ-7 |
network_name_str |
Cadernos Saúde Coletiva (Online) |
repository_id_str |
|
spelling |
“Flattening the curve”: effective measures from Niterói city (Rio de Janeiro, Brazil) for COVID-19 controlcoronavirus disease 2019preventive measuresNiterói cityBrazilAbstract Background In Brazil, some local city government’s adopted several measures, which probably had a positive impact on COVID-19 control. Objective To report the distribution of COVID-19 cases in Brazil, Rio de Janeiro state and Niterói city. In parallel, we aimed to demonstrate the preventive strategies adopted by Niterói city. Method Data provided by the Brazilian Ministry of Health and Municipal Health Foundation of Niterói were used to report COVID-19 cases and deaths. For some analysis, data were grouped by week and normalized for 100,000 inhabitants. Results By July 18th, 2020, Brazil reported 2,074,860 cases and 78,772 deaths and Rio de Janeiro state registered 135,230 cases and 11,919 deaths; both still presenting ascendant curves for COVID-19 deaths. In contrast, the rate of new deaths per 100,000 inhabitants is consistently lower in Niterói city. Importantly, we estimated that 712 deaths were prevented by the measures adopted by Niterói city, in comparison to which was observed in Rio de Janeiro. Conclusion The early preventive measures adopted in Niterói city were effective in reducing both the viral spread and rate of deaths. In this regard, this discussion could be relevant for making future decisions during the COVID-19 outbreak in Brazil.Instituto de Estudos em Saúde Coletiva da Universidade Federal do Rio de Janeiro2022-01-01info:eu-repo/semantics/reportinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1414-462X2022005018202Cadernos Saúde Coletiva n.ahead 2022reponame:Cadernos Saúde Coletiva (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ10.1590/1414-462x202230030404info:eu-repo/semantics/openAccessCarvalho,Fabiana RabeMedeiros,ThaliaGuimarães,Gabriel Macedo CostaAguiar-Alves,FábioSilva,Andrea AliceAlmeida,Jorge Reiseng2022-10-25T00:00:00Zoai:scielo:S1414-462X2022005018202Revistahttp://www.iesc.ufrj.br/cadernos/ONGhttps://old.scielo.br/oai/scielo-oai.phpabelha@iesc.ufrj.br||abelha@iesc.ufrj.br2358-291X1414-462Xopendoar:2022-10-25T00:00Cadernos Saúde Coletiva (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false |
dc.title.none.fl_str_mv |
“Flattening the curve”: effective measures from Niterói city (Rio de Janeiro, Brazil) for COVID-19 control |
title |
“Flattening the curve”: effective measures from Niterói city (Rio de Janeiro, Brazil) for COVID-19 control |
spellingShingle |
“Flattening the curve”: effective measures from Niterói city (Rio de Janeiro, Brazil) for COVID-19 control Carvalho,Fabiana Rabe coronavirus disease 2019 preventive measures Niterói city Brazil |
title_short |
“Flattening the curve”: effective measures from Niterói city (Rio de Janeiro, Brazil) for COVID-19 control |
title_full |
“Flattening the curve”: effective measures from Niterói city (Rio de Janeiro, Brazil) for COVID-19 control |
title_fullStr |
“Flattening the curve”: effective measures from Niterói city (Rio de Janeiro, Brazil) for COVID-19 control |
title_full_unstemmed |
“Flattening the curve”: effective measures from Niterói city (Rio de Janeiro, Brazil) for COVID-19 control |
title_sort |
“Flattening the curve”: effective measures from Niterói city (Rio de Janeiro, Brazil) for COVID-19 control |
author |
Carvalho,Fabiana Rabe |
author_facet |
Carvalho,Fabiana Rabe Medeiros,Thalia Guimarães,Gabriel Macedo Costa Aguiar-Alves,Fábio Silva,Andrea Alice Almeida,Jorge Reis |
author_role |
author |
author2 |
Medeiros,Thalia Guimarães,Gabriel Macedo Costa Aguiar-Alves,Fábio Silva,Andrea Alice Almeida,Jorge Reis |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Carvalho,Fabiana Rabe Medeiros,Thalia Guimarães,Gabriel Macedo Costa Aguiar-Alves,Fábio Silva,Andrea Alice Almeida,Jorge Reis |
dc.subject.por.fl_str_mv |
coronavirus disease 2019 preventive measures Niterói city Brazil |
topic |
coronavirus disease 2019 preventive measures Niterói city Brazil |
description |
Abstract Background In Brazil, some local city government’s adopted several measures, which probably had a positive impact on COVID-19 control. Objective To report the distribution of COVID-19 cases in Brazil, Rio de Janeiro state and Niterói city. In parallel, we aimed to demonstrate the preventive strategies adopted by Niterói city. Method Data provided by the Brazilian Ministry of Health and Municipal Health Foundation of Niterói were used to report COVID-19 cases and deaths. For some analysis, data were grouped by week and normalized for 100,000 inhabitants. Results By July 18th, 2020, Brazil reported 2,074,860 cases and 78,772 deaths and Rio de Janeiro state registered 135,230 cases and 11,919 deaths; both still presenting ascendant curves for COVID-19 deaths. In contrast, the rate of new deaths per 100,000 inhabitants is consistently lower in Niterói city. Importantly, we estimated that 712 deaths were prevented by the measures adopted by Niterói city, in comparison to which was observed in Rio de Janeiro. Conclusion The early preventive measures adopted in Niterói city were effective in reducing both the viral spread and rate of deaths. In this regard, this discussion could be relevant for making future decisions during the COVID-19 outbreak in Brazil. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/report |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
report |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1414-462X2022005018202 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1414-462X2022005018202 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1414-462x202230030404 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Instituto de Estudos em Saúde Coletiva da Universidade Federal do Rio de Janeiro |
publisher.none.fl_str_mv |
Instituto de Estudos em Saúde Coletiva da Universidade Federal do Rio de Janeiro |
dc.source.none.fl_str_mv |
Cadernos Saúde Coletiva n.ahead 2022 reponame:Cadernos Saúde Coletiva (Online) instname:Universidade Federal do Rio de Janeiro (UFRJ) instacron:UFRJ |
instname_str |
Universidade Federal do Rio de Janeiro (UFRJ) |
instacron_str |
UFRJ |
institution |
UFRJ |
reponame_str |
Cadernos Saúde Coletiva (Online) |
collection |
Cadernos Saúde Coletiva (Online) |
repository.name.fl_str_mv |
Cadernos Saúde Coletiva (Online) - Universidade Federal do Rio de Janeiro (UFRJ) |
repository.mail.fl_str_mv |
abelha@iesc.ufrj.br||abelha@iesc.ufrj.br |
_version_ |
1750128227726131200 |