Health system collapse 45 days after the detection of COVID-19 in Ceará, Northeast Brazil: a preliminary analysis
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista da Sociedade Brasileira de Medicina Tropical |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822020000100330 |
Resumo: | Abstract INTRODUCTION: COVID-19 emerged in late 2019 and quickly became a serious public health problem worldwide. This study aim to describe the epidemiological course of cases and deaths due to COVID-19 and their impact on hospital bed occupancy rates in the first 45 days of the epidemic in the state of Ceará, Northeastern Brazil. METHODS: The study used an ecological design with data gathered from multiple government and health care sources. Data were analyzed using Epi Info software. RESULTS: The first cases were confirmed on March 15, 2020. After 45 days, 37,268 cases reported in 85.9% of Ceará’s municipalities, with 1,019 deaths. Laboratory test positivity reached 84.8% at the end of April, a period in which more than 700 daily tests were processed. The average age of cases was 67 (<1 - 101) years, most occurred in a hospital environment (91.9%), and 58% required hospitalization in an ICU bed. The average time between the onset of symptoms and death was 18 (1 - 56) days. Patients who died in the hospital had spent an average of six (0 - 40) days hospitalized. Across Ceará, the bed occupancy rate reached 71.3% in the wards and 80.5% in the ICU. CONCLUSIONS: The first 45 days of the COVID-19 epidemic in Ceará revealed a large number of cases and deaths, spreading initially among the population with a high socioeconomic status. Despite the efforts by the health services and social isolation measures the health system still collapsed. |
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Health system collapse 45 days after the detection of COVID-19 in Ceará, Northeast Brazil: a preliminary analysisCOVID-19Ecological studyEpidemiologyInfectious diseasesBrazilAbstract INTRODUCTION: COVID-19 emerged in late 2019 and quickly became a serious public health problem worldwide. This study aim to describe the epidemiological course of cases and deaths due to COVID-19 and their impact on hospital bed occupancy rates in the first 45 days of the epidemic in the state of Ceará, Northeastern Brazil. METHODS: The study used an ecological design with data gathered from multiple government and health care sources. Data were analyzed using Epi Info software. RESULTS: The first cases were confirmed on March 15, 2020. After 45 days, 37,268 cases reported in 85.9% of Ceará’s municipalities, with 1,019 deaths. Laboratory test positivity reached 84.8% at the end of April, a period in which more than 700 daily tests were processed. The average age of cases was 67 (<1 - 101) years, most occurred in a hospital environment (91.9%), and 58% required hospitalization in an ICU bed. The average time between the onset of symptoms and death was 18 (1 - 56) days. Patients who died in the hospital had spent an average of six (0 - 40) days hospitalized. Across Ceará, the bed occupancy rate reached 71.3% in the wards and 80.5% in the ICU. CONCLUSIONS: The first 45 days of the COVID-19 epidemic in Ceará revealed a large number of cases and deaths, spreading initially among the population with a high socioeconomic status. Despite the efforts by the health services and social isolation measures the health system still collapsed.Sociedade Brasileira de Medicina Tropical - SBMT2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822020000100330Revista da Sociedade Brasileira de Medicina Tropical v.53 2020reponame:Revista da Sociedade Brasileira de Medicina Tropicalinstname:Sociedade Brasileira de Medicina Tropical (SBMT)instacron:SBMT10.1590/0037-8682-0354-2020info:eu-repo/semantics/openAccessLemos,Daniele Rocha QueirosD’Angelo,Sarah MendesFarias,Luis Arthur Brasil GadelhaAlmeida,Magda MouraGomes,Ricristhi GonçalvesPinto,Geovana PraçaCavalcante Filho,Josafa NascimentoFeijão,Levi XimenesCardoso,Ana Rita PauloLima,Thaisy Brasil RicarteLinhares,Pâmela Maria CostaMello,Liana PerdigãoCoelho,Tania MaraCavalcanti,Luciano Pamplona de Góeseng2020-06-30T00:00:00Zoai:scielo:S0037-86822020000100330Revistahttps://www.sbmt.org.br/portal/revista/ONGhttps://old.scielo.br/oai/scielo-oai.php||dalmo@rsbmt.uftm.edu.br|| rsbmt@rsbmt.uftm.edu.br1678-98490037-8682opendoar:2020-06-30T00:00Revista da Sociedade Brasileira de Medicina Tropical - Sociedade Brasileira de Medicina Tropical (SBMT)false |
dc.title.none.fl_str_mv |
Health system collapse 45 days after the detection of COVID-19 in Ceará, Northeast Brazil: a preliminary analysis |
title |
Health system collapse 45 days after the detection of COVID-19 in Ceará, Northeast Brazil: a preliminary analysis |
spellingShingle |
Health system collapse 45 days after the detection of COVID-19 in Ceará, Northeast Brazil: a preliminary analysis Lemos,Daniele Rocha Queiros COVID-19 Ecological study Epidemiology Infectious diseases Brazil |
title_short |
Health system collapse 45 days after the detection of COVID-19 in Ceará, Northeast Brazil: a preliminary analysis |
title_full |
Health system collapse 45 days after the detection of COVID-19 in Ceará, Northeast Brazil: a preliminary analysis |
title_fullStr |
Health system collapse 45 days after the detection of COVID-19 in Ceará, Northeast Brazil: a preliminary analysis |
title_full_unstemmed |
Health system collapse 45 days after the detection of COVID-19 in Ceará, Northeast Brazil: a preliminary analysis |
title_sort |
Health system collapse 45 days after the detection of COVID-19 in Ceará, Northeast Brazil: a preliminary analysis |
author |
Lemos,Daniele Rocha Queiros |
author_facet |
Lemos,Daniele Rocha Queiros D’Angelo,Sarah Mendes Farias,Luis Arthur Brasil Gadelha Almeida,Magda Moura Gomes,Ricristhi Gonçalves Pinto,Geovana Praça Cavalcante Filho,Josafa Nascimento Feijão,Levi Ximenes Cardoso,Ana Rita Paulo Lima,Thaisy Brasil Ricarte Linhares,Pâmela Maria Costa Mello,Liana Perdigão Coelho,Tania Mara Cavalcanti,Luciano Pamplona de Góes |
author_role |
author |
author2 |
D’Angelo,Sarah Mendes Farias,Luis Arthur Brasil Gadelha Almeida,Magda Moura Gomes,Ricristhi Gonçalves Pinto,Geovana Praça Cavalcante Filho,Josafa Nascimento Feijão,Levi Ximenes Cardoso,Ana Rita Paulo Lima,Thaisy Brasil Ricarte Linhares,Pâmela Maria Costa Mello,Liana Perdigão Coelho,Tania Mara Cavalcanti,Luciano Pamplona de Góes |
author2_role |
author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Lemos,Daniele Rocha Queiros D’Angelo,Sarah Mendes Farias,Luis Arthur Brasil Gadelha Almeida,Magda Moura Gomes,Ricristhi Gonçalves Pinto,Geovana Praça Cavalcante Filho,Josafa Nascimento Feijão,Levi Ximenes Cardoso,Ana Rita Paulo Lima,Thaisy Brasil Ricarte Linhares,Pâmela Maria Costa Mello,Liana Perdigão Coelho,Tania Mara Cavalcanti,Luciano Pamplona de Góes |
dc.subject.por.fl_str_mv |
COVID-19 Ecological study Epidemiology Infectious diseases Brazil |
topic |
COVID-19 Ecological study Epidemiology Infectious diseases Brazil |
description |
Abstract INTRODUCTION: COVID-19 emerged in late 2019 and quickly became a serious public health problem worldwide. This study aim to describe the epidemiological course of cases and deaths due to COVID-19 and their impact on hospital bed occupancy rates in the first 45 days of the epidemic in the state of Ceará, Northeastern Brazil. METHODS: The study used an ecological design with data gathered from multiple government and health care sources. Data were analyzed using Epi Info software. RESULTS: The first cases were confirmed on March 15, 2020. After 45 days, 37,268 cases reported in 85.9% of Ceará’s municipalities, with 1,019 deaths. Laboratory test positivity reached 84.8% at the end of April, a period in which more than 700 daily tests were processed. The average age of cases was 67 (<1 - 101) years, most occurred in a hospital environment (91.9%), and 58% required hospitalization in an ICU bed. The average time between the onset of symptoms and death was 18 (1 - 56) days. Patients who died in the hospital had spent an average of six (0 - 40) days hospitalized. Across Ceará, the bed occupancy rate reached 71.3% in the wards and 80.5% in the ICU. CONCLUSIONS: The first 45 days of the COVID-19 epidemic in Ceará revealed a large number of cases and deaths, spreading initially among the population with a high socioeconomic status. Despite the efforts by the health services and social isolation measures the health system still collapsed. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822020000100330 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822020000100330 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0037-8682-0354-2020 |
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 |
Sociedade Brasileira de Medicina Tropical - SBMT |
publisher.none.fl_str_mv |
Sociedade Brasileira de Medicina Tropical - SBMT |
dc.source.none.fl_str_mv |
Revista da Sociedade Brasileira de Medicina Tropical v.53 2020 reponame:Revista da Sociedade Brasileira de Medicina Tropical instname:Sociedade Brasileira de Medicina Tropical (SBMT) instacron:SBMT |
instname_str |
Sociedade Brasileira de Medicina Tropical (SBMT) |
instacron_str |
SBMT |
institution |
SBMT |
reponame_str |
Revista da Sociedade Brasileira de Medicina Tropical |
collection |
Revista da Sociedade Brasileira de Medicina Tropical |
repository.name.fl_str_mv |
Revista da Sociedade Brasileira de Medicina Tropical - Sociedade Brasileira de Medicina Tropical (SBMT) |
repository.mail.fl_str_mv |
||dalmo@rsbmt.uftm.edu.br|| rsbmt@rsbmt.uftm.edu.br |
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1752122162084315136 |