COVID-19: An epidemiological challenge
Autor(a) principal: | |
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Data de Publicação: | 2021 |
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/16313 |
Resumo: | Objective: to analyze the development profile of COVID 19 in the states most at risk of illness until March 15, 2021; calculation of the COVID 19 lethality and mortality rates among the highest risk states. Methodology: Descriptive, retrospective and analytical study of the epidemiological data of the states of the red belt at risk of illness until the date of March 15, 2021. In the analysis, we prioritized 04 municipalities with the highest incidence in each state. Results and Discussion: Higher contribution of confirmed cases observed in the Southeast, Northeast, Midwest and North regions, respectively. Of the 13 states, 07 of them in only 04 municipalities contributed with more than 40% of confirmed cases. Mortality rates ranged from 0.07 (Maranhão) to 1.08 (Pará) and lethality rates between states ranged from 1.34 (Amapá and Tocantins) and 2.90 (São Paulo). In the states with the highest concentration of confirmed cases in a smaller number of municipalities, there is the possibility of blocking the disease, through specific actions, and in the states dissemination of the Sars-Cov-2 virus in several municipalities, the tendency to lose control is evident. Conclusion: Suggested control strategies: health education; use of mandatory mask, participation of public and private educators in health education with the families of their students; sanitary barriers on the highways of municipalities that together are above 40% of confirmed cases, use of local health intelligence, which combines contact tracking and rapid tests to mitigate outbreaks of COVID-19, by all managers of the three spheres of government and periodic assessments of the epidemiological picture, so that the strategies implemented continue or are improved. |
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COVID-19: An epidemiological challengeCOVID-19: Un desafío epidemiológicoCOVID-19: Um desafio epidemiológicoCOVID-19SARR-CoV-2Infecciones por CoronavirusVigilancia en Salud PúblicaPandemia.COVID-19SARS-CoV2Infecções por CoronavírusVigilância em Saúde PúblicaPandemia.COVID-19SARS-CoV-2Public Health SurveillanceCoronavirus infectionPandemic.Objective: to analyze the development profile of COVID 19 in the states most at risk of illness until March 15, 2021; calculation of the COVID 19 lethality and mortality rates among the highest risk states. Methodology: Descriptive, retrospective and analytical study of the epidemiological data of the states of the red belt at risk of illness until the date of March 15, 2021. In the analysis, we prioritized 04 municipalities with the highest incidence in each state. Results and Discussion: Higher contribution of confirmed cases observed in the Southeast, Northeast, Midwest and North regions, respectively. Of the 13 states, 07 of them in only 04 municipalities contributed with more than 40% of confirmed cases. Mortality rates ranged from 0.07 (Maranhão) to 1.08 (Pará) and lethality rates between states ranged from 1.34 (Amapá and Tocantins) and 2.90 (São Paulo). In the states with the highest concentration of confirmed cases in a smaller number of municipalities, there is the possibility of blocking the disease, through specific actions, and in the states dissemination of the Sars-Cov-2 virus in several municipalities, the tendency to lose control is evident. Conclusion: Suggested control strategies: health education; use of mandatory mask, participation of public and private educators in health education with the families of their students; sanitary barriers on the highways of municipalities that together are above 40% of confirmed cases, use of local health intelligence, which combines contact tracking and rapid tests to mitigate outbreaks of COVID-19, by all managers of the three spheres of government and periodic assessments of the epidemiological picture, so that the strategies implemented continue or are improved.Objetivo: analizar el perfil de desarrollo de COVID 19 en los estados con mayor riesgo de enfermedad hasta el 15 de marzo de 2021; cálculo de las tasas de letalidad y mortalidad de COVID 19 entre los estados de mayor riesgo. Metodología: Estudio descriptivo, retrospectivo y analítico de los datos epidemiológicos de los estados del cinturón rojo en riesgo de enfermedad hasta la fecha del 15 de marzo de 2021. En el análisis priorizamos 04 municipios con mayor incidencia en cada estado. Resultados y Discusión: Mayor contribución de casos confirmados observada en las regiones Sudeste, Nordeste, Medio Oeste y Norte, respectivamente. De los 13 estados, 07 de ellos en solo 04 municipios contribuyeron con más del 40% de los casos confirmados. Las tasas de mortalidad oscilaron entre 0,07 (Maranhão) y 1,08 (Pará) y las tasas de letalidad entre los estados oscilaron entre 1,34 (Amapá y Tocantins) y 2,90 (São Paulo). En los estados con mayor concentración de casos confirmados en un menor número de municipios, existe la posibilidad de bloquear la enfermedad, a través de acciones específicas y en los estados la propagación del virus Sars-Cov-2 en varios municipios, la tendencia a perder el control es evidente. Conclusión: Estrategias de control sugeridas: educación para la salud; uso de mascarilla obligatoria, participación de educadores públicos y privados en educación para la salud con las familias de sus alumnos; barreras sanitarias en las carreteras de los municipios que en conjunto están por encima del 40% de los casos confirmados, uso de inteligencia sanitaria local, que combina seguimiento de contactos y pruebas rápidas para mitigar brotes de COVID-19, por parte de todos los gestores de las tres esferas de gobierno y evaluaciones periódicas del cuadro epidemiológico, para que las estrategias implementadas continúen o mejoren.Objetivo: analisar o comportamento da letalidade e mortalidade e o perfil de desenvolvimento da COVID-19 nos estados de maior risco de adoecimento até 15 de março de 2021. Metodologia: Estudo descritivo, retrospectivo e analítico dos dados epidemiológicos dos estados da faixa vermelha de risco de adoecimento até a data de 15 de março de 2021. Na análise, priorizou-se 04 municípios com maior incidência em cada estado. Resultados e Discussão: Maior contribuição de casos confirmados observado na região Sudeste, Nordeste, Centro Oeste e Norte, respectivamente. Dos 13 estados, 07 deles em apenas 04 municípios contribuíram com mais de 40% de casos confirmados. As taxas de mortalidade variaram de 0,07 (Maranhão) a 1,08 (Pará) e as taxas de letalidade entre os estados variaram de 1,34 (Amapá e Tocantins) e 2,90 (São Paulo). Nos estados com maior concentração de casos confirmados em menor número de municípios, existe a possibilidade de bloqueio da doença, através de ações especificas, enquanto nos estados em que disseminação do vírus é observada em vários municípios, a tendência de descontrole é evidente. Conclusão: Estratégias de controle sugeridas: educação para a saúde; uso de máscara obrigatória, participação dos educadores do ensino público e privado na educação sanitária junto ás famílias de seus alunos; barreiras sanitárias nas rodovias dos municípios que juntos estejam acima de 40% de casos confirmados, uso da inteligência local em saúde, que combina o rastreamento de contatos e testes rápidos para mitigar surtos de COVID-19, por todos os gestores das três esferas de governo e avaliações periódicas do quadro epidemiológico, para que as estratégias implementadas continuem ou sejam aperfeiçoadas.Research, Society and Development2021-06-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1631310.33448/rsd-v10i7.16313Research, Society and Development; Vol. 10 No. 7; e32110716313Research, Society and Development; Vol. 10 Núm. 7; e32110716313Research, Society and Development; v. 10 n. 7; e321107163132525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/16313/14847Copyright (c) 2021 Rosilene Ferreira Cardoso; Diovana de Sena Alberto; Silvia Claudia Cunha Maués; Sandro Rogério Mendes da Silva; Adalton da Costa Abreu; Jucileine dos Santos Machado Coelho; Maricélia Tavares Barbosa Marinho; Iracilda Costa da Silva Pinto; Antônio Alexandre Valente Meireleshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCardoso, Rosilene FerreiraAlberto, Diovana de SenaMaués, Silvia Claudia CunhaSilva, Sandro Rogério Mendes daAbreu, Adalton da CostaCoelho, Jucileine dos Santos Machado Marinho, Maricélia Tavares Barbosa Pinto, Iracilda Costa da Silva Meireles, Antônio Alexandre Valente2021-07-18T21:07:03Zoai:ojs.pkp.sfu.ca:article/16313Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:36:53.633762Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
COVID-19: An epidemiological challenge COVID-19: Un desafío epidemiológico COVID-19: Um desafio epidemiológico |
title |
COVID-19: An epidemiological challenge |
spellingShingle |
COVID-19: An epidemiological challenge Cardoso, Rosilene Ferreira COVID-19 SARR-CoV-2 Infecciones por Coronavirus Vigilancia en Salud Pública Pandemia. COVID-19 SARS-CoV2 Infecções por Coronavírus Vigilância em Saúde Pública Pandemia. COVID-19 SARS-CoV-2 Public Health Surveillance Coronavirus infection Pandemic. |
title_short |
COVID-19: An epidemiological challenge |
title_full |
COVID-19: An epidemiological challenge |
title_fullStr |
COVID-19: An epidemiological challenge |
title_full_unstemmed |
COVID-19: An epidemiological challenge |
title_sort |
COVID-19: An epidemiological challenge |
author |
Cardoso, Rosilene Ferreira |
author_facet |
Cardoso, Rosilene Ferreira Alberto, Diovana de Sena Maués, Silvia Claudia Cunha Silva, Sandro Rogério Mendes da Abreu, Adalton da Costa Coelho, Jucileine dos Santos Machado Marinho, Maricélia Tavares Barbosa Pinto, Iracilda Costa da Silva Meireles, Antônio Alexandre Valente |
author_role |
author |
author2 |
Alberto, Diovana de Sena Maués, Silvia Claudia Cunha Silva, Sandro Rogério Mendes da Abreu, Adalton da Costa Coelho, Jucileine dos Santos Machado Marinho, Maricélia Tavares Barbosa Pinto, Iracilda Costa da Silva Meireles, Antônio Alexandre Valente |
author2_role |
author author author author author author author author |
dc.contributor.author.fl_str_mv |
Cardoso, Rosilene Ferreira Alberto, Diovana de Sena Maués, Silvia Claudia Cunha Silva, Sandro Rogério Mendes da Abreu, Adalton da Costa Coelho, Jucileine dos Santos Machado Marinho, Maricélia Tavares Barbosa Pinto, Iracilda Costa da Silva Meireles, Antônio Alexandre Valente |
dc.subject.por.fl_str_mv |
COVID-19 SARR-CoV-2 Infecciones por Coronavirus Vigilancia en Salud Pública Pandemia. COVID-19 SARS-CoV2 Infecções por Coronavírus Vigilância em Saúde Pública Pandemia. COVID-19 SARS-CoV-2 Public Health Surveillance Coronavirus infection Pandemic. |
topic |
COVID-19 SARR-CoV-2 Infecciones por Coronavirus Vigilancia en Salud Pública Pandemia. COVID-19 SARS-CoV2 Infecções por Coronavírus Vigilância em Saúde Pública Pandemia. COVID-19 SARS-CoV-2 Public Health Surveillance Coronavirus infection Pandemic. |
description |
Objective: to analyze the development profile of COVID 19 in the states most at risk of illness until March 15, 2021; calculation of the COVID 19 lethality and mortality rates among the highest risk states. Methodology: Descriptive, retrospective and analytical study of the epidemiological data of the states of the red belt at risk of illness until the date of March 15, 2021. In the analysis, we prioritized 04 municipalities with the highest incidence in each state. Results and Discussion: Higher contribution of confirmed cases observed in the Southeast, Northeast, Midwest and North regions, respectively. Of the 13 states, 07 of them in only 04 municipalities contributed with more than 40% of confirmed cases. Mortality rates ranged from 0.07 (Maranhão) to 1.08 (Pará) and lethality rates between states ranged from 1.34 (Amapá and Tocantins) and 2.90 (São Paulo). In the states with the highest concentration of confirmed cases in a smaller number of municipalities, there is the possibility of blocking the disease, through specific actions, and in the states dissemination of the Sars-Cov-2 virus in several municipalities, the tendency to lose control is evident. Conclusion: Suggested control strategies: health education; use of mandatory mask, participation of public and private educators in health education with the families of their students; sanitary barriers on the highways of municipalities that together are above 40% of confirmed cases, use of local health intelligence, which combines contact tracking and rapid tests to mitigate outbreaks of COVID-19, by all managers of the three spheres of government and periodic assessments of the epidemiological picture, so that the strategies implemented continue or are improved. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-23 |
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/16313 10.33448/rsd-v10i7.16313 |
url |
https://rsdjournal.org/index.php/rsd/article/view/16313 |
identifier_str_mv |
10.33448/rsd-v10i7.16313 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/16313/14847 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://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. 10 No. 7; e32110716313 Research, Society and Development; Vol. 10 Núm. 7; e32110716313 Research, Society and Development; v. 10 n. 7; e32110716313 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052750262960128 |