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Impact of lockdown on bed occupancy rate in a referral hospital during the COVID-19 pandemic in northeast Brazil
Coronaviruses are known to be responsible for infections in humans since the 1960s and have accounted for epidemics in recent human history. More recently, in 2019, a disease caused by a new coronavirus appeared in China, in the province of Wuhan, with a characteristic of greater infectivity, called...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7457936/ https://www.ncbi.nlm.nih.gov/pubmed/32888904 http://dx.doi.org/10.1016/j.bjid.2020.08.002 |
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author | Lino, Danielli Oliveira da Costa Barreto, Renato Souza, Francisco Daniel de Lima, Carlos José Mota de Silva Junior, Geraldo Bezerra da |
author_facet | Lino, Danielli Oliveira da Costa Barreto, Renato Souza, Francisco Daniel de Lima, Carlos José Mota de Silva Junior, Geraldo Bezerra da |
author_sort | Lino, Danielli Oliveira da Costa |
collection | PubMed |
description | Coronaviruses are known to be responsible for infections in humans since the 1960s and have accounted for epidemics in recent human history. More recently, in 2019, a disease caused by a new coronavirus appeared in China, in the province of Wuhan, with a characteristic of greater infectivity, called COVID-19, which has caused a new world pandemic. Considering the need to contain the advance in the number of cases, based on the high rate of transmissibility, several countries have adopted extreme social distancing measures, including the so-called ‘lockdown’. Despite the socioeconomic side effects, the aforementioned measure reduced the progression of the pandemic in countries that adopted it. In Brazil, the state of Ceará was one of the first epicenters of the disease in the country and the state capital city of Fortaleza, on May 8, implemented the lockdown measure to contain the increase in the number of cases. It was then observed, in a tertiary hospital, which is a referral for COVID-19 cases, a decrease in the daily occupancy rate of beds reserved for the pandemic after the lockdown onset, evidencing that this measure leads to a sustainable reduction in bed occupation rates, thus preventing the collapse and overload in health services. |
format | Online Article Text |
id | pubmed-7457936 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-74579362020-09-01 Impact of lockdown on bed occupancy rate in a referral hospital during the COVID-19 pandemic in northeast Brazil Lino, Danielli Oliveira da Costa Barreto, Renato Souza, Francisco Daniel de Lima, Carlos José Mota de Silva Junior, Geraldo Bezerra da Braz J Infect Dis Brief Communication Coronaviruses are known to be responsible for infections in humans since the 1960s and have accounted for epidemics in recent human history. More recently, in 2019, a disease caused by a new coronavirus appeared in China, in the province of Wuhan, with a characteristic of greater infectivity, called COVID-19, which has caused a new world pandemic. Considering the need to contain the advance in the number of cases, based on the high rate of transmissibility, several countries have adopted extreme social distancing measures, including the so-called ‘lockdown’. Despite the socioeconomic side effects, the aforementioned measure reduced the progression of the pandemic in countries that adopted it. In Brazil, the state of Ceará was one of the first epicenters of the disease in the country and the state capital city of Fortaleza, on May 8, implemented the lockdown measure to contain the increase in the number of cases. It was then observed, in a tertiary hospital, which is a referral for COVID-19 cases, a decrease in the daily occupancy rate of beds reserved for the pandemic after the lockdown onset, evidencing that this measure leads to a sustainable reduction in bed occupation rates, thus preventing the collapse and overload in health services. Elsevier 2020-08-31 /pmc/articles/PMC7457936/ /pubmed/32888904 http://dx.doi.org/10.1016/j.bjid.2020.08.002 Text en © 2020 Sociedade Brasileira de Infectologia. Published by Elsevier España, S.L.U. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Brief Communication Lino, Danielli Oliveira da Costa Barreto, Renato Souza, Francisco Daniel de Lima, Carlos José Mota de Silva Junior, Geraldo Bezerra da Impact of lockdown on bed occupancy rate in a referral hospital during the COVID-19 pandemic in northeast Brazil |
title | Impact of lockdown on bed occupancy rate in a referral hospital during the COVID-19 pandemic in northeast Brazil |
title_full | Impact of lockdown on bed occupancy rate in a referral hospital during the COVID-19 pandemic in northeast Brazil |
title_fullStr | Impact of lockdown on bed occupancy rate in a referral hospital during the COVID-19 pandemic in northeast Brazil |
title_full_unstemmed | Impact of lockdown on bed occupancy rate in a referral hospital during the COVID-19 pandemic in northeast Brazil |
title_short | Impact of lockdown on bed occupancy rate in a referral hospital during the COVID-19 pandemic in northeast Brazil |
title_sort | impact of lockdown on bed occupancy rate in a referral hospital during the covid-19 pandemic in northeast brazil |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7457936/ https://www.ncbi.nlm.nih.gov/pubmed/32888904 http://dx.doi.org/10.1016/j.bjid.2020.08.002 |
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