Epidemiological profile of Covid-19 morbidity and mortality in the State of Piauí: an update of the current scenario
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/6091 |
Resumo: | The new Coronavirus was defined as SARS-CoV-2 in late 2019. It is responsible for the disease classified as COVID-19. The present study aimed to discuss the deaths caused by covid-19 in the state of Piauí during the pandemic, and its correlation with the comorbidities associated with patients and their age group. It is a descriptive research, carried out from the epidemiological survey of cases and deaths of Covid-19 in the State of Piauí. The age range, comorbidities and risk factors identified among the deaths were analyzed, where from these data, lethality was calculated and plotted in tables. The state of Piauí has10,153 thousand confirmed cases, with the capital Teresina, with the largest number, with 43% of cases followed by the coastal city of Parnaíba with 13%, Barras 4%, Campo Maior 3% and Picos 3%. Teresina still had the highest number of deaths with 196 deaths, followed by Parnaíba (n = 31), Barras (n = 8), Campo Maior (n = 7), Picos, Esperantina and Piripiri (n = 6). Heart diseases had the highest frequency in cases of death by Covid-19, with 48.61% of cases, followed by diabetes with 23.61%, CND or DNM 4.63%, Obesity 3.7%. The age group from 70 to 79 years old most affected with 30%, followed by 80 years old or more with 26.67%. Thus, it can be inferred how essential the structural development of public health in Piauí is, especially in emerging centers, as well as the priority preservation of people who have comorbidities and with high age. |
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Epidemiological profile of Covid-19 morbidity and mortality in the State of Piauí: an update of the current scenarioPerfil epidemiológico de la morbilidad y mortalidad de Covid-19 en el estado de Piauí: una actualización del escenario actualPerfil epidemiológico da morbimortalidade da Covid-19 no Estado do Piauí: uma atualização do cenário atualCoronavirusEpidemiologyMorbidity.CoronavirusEpidemiologiaMorbidade.CoronavirusEpidemiologíaMorbosidad.The new Coronavirus was defined as SARS-CoV-2 in late 2019. It is responsible for the disease classified as COVID-19. The present study aimed to discuss the deaths caused by covid-19 in the state of Piauí during the pandemic, and its correlation with the comorbidities associated with patients and their age group. It is a descriptive research, carried out from the epidemiological survey of cases and deaths of Covid-19 in the State of Piauí. The age range, comorbidities and risk factors identified among the deaths were analyzed, where from these data, lethality was calculated and plotted in tables. The state of Piauí has10,153 thousand confirmed cases, with the capital Teresina, with the largest number, with 43% of cases followed by the coastal city of Parnaíba with 13%, Barras 4%, Campo Maior 3% and Picos 3%. Teresina still had the highest number of deaths with 196 deaths, followed by Parnaíba (n = 31), Barras (n = 8), Campo Maior (n = 7), Picos, Esperantina and Piripiri (n = 6). Heart diseases had the highest frequency in cases of death by Covid-19, with 48.61% of cases, followed by diabetes with 23.61%, CND or DNM 4.63%, Obesity 3.7%. The age group from 70 to 79 years old most affected with 30%, followed by 80 years old or more with 26.67%. Thus, it can be inferred how essential the structural development of public health in Piauí is, especially in emerging centers, as well as the priority preservation of people who have comorbidities and with high age.El nuevo Coronavirus se definió como SARS-CoV-2 a fines de 2019. Es responsable de la enfermedad clasificada como COVID-19. El presente estudio tuvo como objetivo discutir las muertes causadas por covid-19 en el estado de Piauí durante la pandemia, y su correlación con las comorbilidades asociadas con los pacientes y su grupo de edad. Es una investigación descriptiva, realizada a partir de la encuesta epidemiológica de casos y muertes de Covid-19 en el estado de Piauí. Se analizaron el rango de edad, las comorbilidades y los factores de riesgo identificados entre las muertes, donde a partir de estos datos, se calculó la letalidad y se representó en tablas. El estado de Piauí tiene 10.153 mil casos confirmados, con la capital Teresina, con el mayor número, con el 43% de los casos, seguida por la ciudad costera de Parnaíba con el 13%, Barras 4%, Campo Maior 3% y Picos 3%. Teresina todavía tuvo el mayor número de muertes con 196 muertes, seguida de Parnaíba (n = 31), Barras (n = 8), Campo Maior (n = 7), Picos, Esperantina y Piripiri (n = 6). Las enfermedades cardíacas tuvieron la frecuencia más alta en casos de muerte por Covid-19, con 48.61% de los casos, seguidos de diabetes con 23.61%, CND o DNM 4.63%, Obesidad 3.7%. El grupo de edad de 70 a 79 años más afectado con 30%, seguido por 80 años o más con 26.67%. Por lo tanto, se puede inferir cuán esencial es el desarrollo estructural de la salud pública en Piauí, sobre todo en los centros emergentes, así como la preservación prioritaria de las personas con comorbilidades y con una edad avanzada.O novo Coronavírus foi definido como SARS-CoV-2 no fim de 2019. Ele é responsável pela a doença classificada como COVID-19. O presente estudo teve como objetivo discutir os óbitos provocados pela covid-19 no estado do Piauí durante a pandemia, e sua correlação com as comorbidades associadas aos pacientes e sua faixa etária. Trata-se de uma pesquisa descritiva, executada a partir do levantamento epidemiológico dos casos e óbitos da Covid-19 no Estado do Piauí. Foi analisada a faixa etária, comorbidades e fatores de risco identificados entre os óbitos, onde a partir desses dados, foi calculado a letalidade e plotados em tabelas. O estado do Piauí apresenta 10.153 mil casos confirmados, tendo a capital Teresina, com o maior número, com 43% dos casos seguido da cidade litorânea de Parnaíba com 13%, Barras 4%, Campo maior 3% e Picos 3%. Teresina ainda apresentou o maior número de óbitos com 196 mortes, seguido de Parnaíba (n=31), Barras (n=8), Campo maior (n=7), Picos, Esperantina e Piripiri (n=6). As cardiopatias tiveram a maior frequência nos casos de óbitos por Covid-19, com 48,61% dos casos, seguido da diabetes com 23,61%, DNC ou DNM 4,63%, Obesidade 3,7%. A faixa etária de 70 a 79 anos a mais acometida com 30%, seguido de 80 anos ou mais com 26,67%. Assim, pode-se inferir o quão é imprescindível o desenvolvimento estrutural da saúde pública no Piauí, sobretudo, nos centros emergentes, bem como a preservação prioritária das pessoas que possuem comorbidades e com faixa etária alta.Research, Society and Development2020-07-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/609110.33448/rsd-v9i8.6091Research, Society and Development; Vol. 9 No. 8; e803986091Research, Society and Development; Vol. 9 Núm. 8; e803986091Research, Society and Development; v. 9 n. 8; e8039860912525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/6091/5260Copyright (c) 2020 Tiago Medeiros da Silva, Luis Eduardo Alencar Silva, Alan Rodrigues da Silva, Lara Christina da Silva Cavalcante, Sufia de Jesus Costa, Renata Pereira da Silva, Maria Camila Leal de Moura, Amanda da Silva Costa, Laísa Ribeiro Rocha, Maria Francinete do Nascimento Silva, Márcia de Sousa Morais, Roberta Pires de Sousa Matos, Layane Ayala de Sousa Lopes, Rosana de Oliveira Pereira, Gilberto de Sousa Jrhttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, Tiago Medeiros daSilva, Luis Eduardo AlencarSilva, Alan Rodrigues daCavalcante, Lara Christina da SilvaCosta, Sufia de JesusSilva, Renata Pereira daMoura, Maria Camila Leal deCosta, Amanda da SilvaRocha, Laísa RibeiroSilva, Maria Francinete do NascimentoSousa, Márcia de MoraisMatos, Roberta Pires de SousaLopes, Layane Aiala de SousaPereira, Rosana de OliveiraSousa Jr, Gilberto deSantos, Janyne Carvalho2020-08-20T18:00:17Zoai:ojs.pkp.sfu.ca:article/6091Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:29:21.626978Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Epidemiological profile of Covid-19 morbidity and mortality in the State of Piauí: an update of the current scenario Perfil epidemiológico de la morbilidad y mortalidad de Covid-19 en el estado de Piauí: una actualización del escenario actual Perfil epidemiológico da morbimortalidade da Covid-19 no Estado do Piauí: uma atualização do cenário atual |
title |
Epidemiological profile of Covid-19 morbidity and mortality in the State of Piauí: an update of the current scenario |
spellingShingle |
Epidemiological profile of Covid-19 morbidity and mortality in the State of Piauí: an update of the current scenario Silva, Tiago Medeiros da Coronavirus Epidemiology Morbidity. Coronavirus Epidemiologia Morbidade. Coronavirus Epidemiología Morbosidad. |
title_short |
Epidemiological profile of Covid-19 morbidity and mortality in the State of Piauí: an update of the current scenario |
title_full |
Epidemiological profile of Covid-19 morbidity and mortality in the State of Piauí: an update of the current scenario |
title_fullStr |
Epidemiological profile of Covid-19 morbidity and mortality in the State of Piauí: an update of the current scenario |
title_full_unstemmed |
Epidemiological profile of Covid-19 morbidity and mortality in the State of Piauí: an update of the current scenario |
title_sort |
Epidemiological profile of Covid-19 morbidity and mortality in the State of Piauí: an update of the current scenario |
author |
Silva, Tiago Medeiros da |
author_facet |
Silva, Tiago Medeiros da Silva, Luis Eduardo Alencar Silva, Alan Rodrigues da Cavalcante, Lara Christina da Silva Costa, Sufia de Jesus Silva, Renata Pereira da Moura, Maria Camila Leal de Costa, Amanda da Silva Rocha, Laísa Ribeiro Silva, Maria Francinete do Nascimento Sousa, Márcia de Morais Matos, Roberta Pires de Sousa Lopes, Layane Aiala de Sousa Pereira, Rosana de Oliveira Sousa Jr, Gilberto de Santos, Janyne Carvalho |
author_role |
author |
author2 |
Silva, Luis Eduardo Alencar Silva, Alan Rodrigues da Cavalcante, Lara Christina da Silva Costa, Sufia de Jesus Silva, Renata Pereira da Moura, Maria Camila Leal de Costa, Amanda da Silva Rocha, Laísa Ribeiro Silva, Maria Francinete do Nascimento Sousa, Márcia de Morais Matos, Roberta Pires de Sousa Lopes, Layane Aiala de Sousa Pereira, Rosana de Oliveira Sousa Jr, Gilberto de Santos, Janyne Carvalho |
author2_role |
author author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Silva, Tiago Medeiros da Silva, Luis Eduardo Alencar Silva, Alan Rodrigues da Cavalcante, Lara Christina da Silva Costa, Sufia de Jesus Silva, Renata Pereira da Moura, Maria Camila Leal de Costa, Amanda da Silva Rocha, Laísa Ribeiro Silva, Maria Francinete do Nascimento Sousa, Márcia de Morais Matos, Roberta Pires de Sousa Lopes, Layane Aiala de Sousa Pereira, Rosana de Oliveira Sousa Jr, Gilberto de Santos, Janyne Carvalho |
dc.subject.por.fl_str_mv |
Coronavirus Epidemiology Morbidity. Coronavirus Epidemiologia Morbidade. Coronavirus Epidemiología Morbosidad. |
topic |
Coronavirus Epidemiology Morbidity. Coronavirus Epidemiologia Morbidade. Coronavirus Epidemiología Morbosidad. |
description |
The new Coronavirus was defined as SARS-CoV-2 in late 2019. It is responsible for the disease classified as COVID-19. The present study aimed to discuss the deaths caused by covid-19 in the state of Piauí during the pandemic, and its correlation with the comorbidities associated with patients and their age group. It is a descriptive research, carried out from the epidemiological survey of cases and deaths of Covid-19 in the State of Piauí. The age range, comorbidities and risk factors identified among the deaths were analyzed, where from these data, lethality was calculated and plotted in tables. The state of Piauí has10,153 thousand confirmed cases, with the capital Teresina, with the largest number, with 43% of cases followed by the coastal city of Parnaíba with 13%, Barras 4%, Campo Maior 3% and Picos 3%. Teresina still had the highest number of deaths with 196 deaths, followed by Parnaíba (n = 31), Barras (n = 8), Campo Maior (n = 7), Picos, Esperantina and Piripiri (n = 6). Heart diseases had the highest frequency in cases of death by Covid-19, with 48.61% of cases, followed by diabetes with 23.61%, CND or DNM 4.63%, Obesity 3.7%. The age group from 70 to 79 years old most affected with 30%, followed by 80 years old or more with 26.67%. Thus, it can be inferred how essential the structural development of public health in Piauí is, especially in emerging centers, as well as the priority preservation of people who have comorbidities and with high age. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-07-20 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/6091 10.33448/rsd-v9i8.6091 |
url |
https://rsdjournal.org/index.php/rsd/article/view/6091 |
identifier_str_mv |
10.33448/rsd-v9i8.6091 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/6091/5260 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 9 No. 8; e803986091 Research, Society and Development; Vol. 9 Núm. 8; e803986091 Research, Society and Development; v. 9 n. 8; e803986091 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
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Universidade Federal de Itajubá (UNIFEI) |
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UNIFEI |
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UNIFEI |
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Research, Society and Development |
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Research, Society and Development |
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Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
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rsd.articles@gmail.com |
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1797052823811129344 |