Scientific Prospection on Epidemiology and Prevention of Covid-19 Allyed to Artificial Intelligence

Detalhes bibliográficos
Autor(a) principal: Freitas, Robson Almeida Borges de
Data de Publicação: 2020
Outros Autores: Melo, Humbérila da Costa e Silva, Azevedo, Margarete Almeida Freitas de, Oliveira Junior, Antonio Martins de, Sá, José Luiz Silva
Tipo de documento: Artigo
Idioma: por
Título da fonte: Cadernos de Prospecção (Online)
Texto Completo: https://periodicos.ufba.br/index.php/nit/article/view/36190
Resumo: Covid-19 became a global concern when the World Health Organization declared it a pandemic. With the spread of the disease, it is important that the knowledge of nations facing Covid-19 be applied in the countries where it is spread. It seeks to discuss preventive methods to aid in the containment of Covid-19 and the use of Artificial Intelligence (AI) for monitoring and predicting the incidence of the disease. The SCOPUS platform was used to survey and analyze the data, with preference for scientific articles. Most articles were published by China and the United States. Three articles were found that relate the disease to prevention and epidemiology. No articles were found with the terms Covid-19, AI, prevention and epidemiology. AI was found in 13 documents on Epidemiology. It is suggested the implementation of information systems with AI in quarantine monitoring and prediction, equipment for testing and helping to manage epidemic crises.
id UFBA-6_53044262cdef03789846dcb06305fee3
oai_identifier_str oai:ojs.periodicos.ufba.br:article/36190
network_acronym_str UFBA-6
network_name_str Cadernos de Prospecção (Online)
repository_id_str
spelling Scientific Prospection on Epidemiology and Prevention of Covid-19 Allyed to Artificial IntelligenceProspecção Científica sobre Epidemiologia e Prevenção da Covid-19 Aliada à Inteligência ArtificialCOVID-19EpidemiologiaPrevençãoInteligência ArtificialCovid-19EpidemiologyPreventionArtificial Intelligence.Covid-19 became a global concern when the World Health Organization declared it a pandemic. With the spread of the disease, it is important that the knowledge of nations facing Covid-19 be applied in the countries where it is spread. It seeks to discuss preventive methods to aid in the containment of Covid-19 and the use of Artificial Intelligence (AI) for monitoring and predicting the incidence of the disease. The SCOPUS platform was used to survey and analyze the data, with preference for scientific articles. Most articles were published by China and the United States. Three articles were found that relate the disease to prevention and epidemiology. No articles were found with the terms Covid-19, AI, prevention and epidemiology. AI was found in 13 documents on Epidemiology. It is suggested the implementation of information systems with AI in quarantine monitoring and prediction, equipment for testing and helping to manage epidemic crises.A Covid-19 tornou-se preocupação mundial quando a Organização Mundial da Saúde a declarou como pandemia. Com a disseminação da doença, é importante que os conhecimentos das nações que enfrentam a Covid-19 sejam aplicados nos países em que ela se dissemina. Buscou-se discutir aqui métodos preventivos para auxílio na contenção da Covid-19 e o uso da Inteligência Artificial (IA) para monitoramento e predição da incidência da doença. Utilizou-se a plataforma SCOPUS para levantamento e análise dos dados, com preferência para artigos científicos. Os artigos foram publicados, em sua maioria, pela China e Estados Unidos. Encontrou-se três artigos que relacionam a doença com prevenção e a epidemiologia. Nenhum artigo foi encontrado com os termos Covid-19, IA, prevenção e epidemiologia. Encontrou-se a IA em 13 documentos sobre Epidemiologia. Sugere-se a implantação de sistemas informáticos com IA no monitoramento de quarentena, previsão de casos, equipamentos para testes da doença e auxílio à gestão de crises epidêmicas.Universidade Federal da Bahia2020-04-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionProspecção; Revisão de Literaturaapplication/pdfhttps://periodicos.ufba.br/index.php/nit/article/view/3619010.9771/cp.v13i2.36190Cadernos de Prospecção; Vol. 13 No. 2 (2020): Edição Especial - Coronavírus (SARS-COV-2) e COVID-19; 543Cadernos de Prospecção; v. 13 n. 2 (2020): Edição Especial - Coronavírus (SARS-COV-2) e COVID-19; 5432317-00261983-1358reponame:Cadernos de Prospecção (Online)instname:Universidade Federal da Bahia (UFBA)instacron:UFBAporhttps://periodicos.ufba.br/index.php/nit/article/view/36190/21006Copyright (c) 2020 Cadernos de Prospecçãohttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessFreitas, Robson Almeida Borges deMelo, Humbérila da Costa e SilvaAzevedo, Margarete Almeida Freitas deOliveira Junior, Antonio Martins deSá, José Luiz Silva2022-03-03T11:41:27Zoai:ojs.periodicos.ufba.br:article/36190Revistahttps://periodicos.ufba.br/index.php/nitPUBhttps://periodicos.ufba.br/index.php/nit/oaicadernosdeprospeccao@gmail.com || maliceribeiro@yahoo.com.br || cadernosdeprospeccao@gmail.com || saionaraluna@gmail.com2317-00261983-1358opendoar:2022-03-03T11:41:27Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA)false
dc.title.none.fl_str_mv Scientific Prospection on Epidemiology and Prevention of Covid-19 Allyed to Artificial Intelligence
Prospecção Científica sobre Epidemiologia e Prevenção da Covid-19 Aliada à Inteligência Artificial
title Scientific Prospection on Epidemiology and Prevention of Covid-19 Allyed to Artificial Intelligence
spellingShingle Scientific Prospection on Epidemiology and Prevention of Covid-19 Allyed to Artificial Intelligence
Freitas, Robson Almeida Borges de
COVID-19
Epidemiologia
Prevenção
Inteligência Artificial
Covid-19
Epidemiology
Prevention
Artificial Intelligence.
title_short Scientific Prospection on Epidemiology and Prevention of Covid-19 Allyed to Artificial Intelligence
title_full Scientific Prospection on Epidemiology and Prevention of Covid-19 Allyed to Artificial Intelligence
title_fullStr Scientific Prospection on Epidemiology and Prevention of Covid-19 Allyed to Artificial Intelligence
title_full_unstemmed Scientific Prospection on Epidemiology and Prevention of Covid-19 Allyed to Artificial Intelligence
title_sort Scientific Prospection on Epidemiology and Prevention of Covid-19 Allyed to Artificial Intelligence
author Freitas, Robson Almeida Borges de
author_facet Freitas, Robson Almeida Borges de
Melo, Humbérila da Costa e Silva
Azevedo, Margarete Almeida Freitas de
Oliveira Junior, Antonio Martins de
Sá, José Luiz Silva
author_role author
author2 Melo, Humbérila da Costa e Silva
Azevedo, Margarete Almeida Freitas de
Oliveira Junior, Antonio Martins de
Sá, José Luiz Silva
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Freitas, Robson Almeida Borges de
Melo, Humbérila da Costa e Silva
Azevedo, Margarete Almeida Freitas de
Oliveira Junior, Antonio Martins de
Sá, José Luiz Silva
dc.subject.por.fl_str_mv COVID-19
Epidemiologia
Prevenção
Inteligência Artificial
Covid-19
Epidemiology
Prevention
Artificial Intelligence.
topic COVID-19
Epidemiologia
Prevenção
Inteligência Artificial
Covid-19
Epidemiology
Prevention
Artificial Intelligence.
description Covid-19 became a global concern when the World Health Organization declared it a pandemic. With the spread of the disease, it is important that the knowledge of nations facing Covid-19 be applied in the countries where it is spread. It seeks to discuss preventive methods to aid in the containment of Covid-19 and the use of Artificial Intelligence (AI) for monitoring and predicting the incidence of the disease. The SCOPUS platform was used to survey and analyze the data, with preference for scientific articles. Most articles were published by China and the United States. Three articles were found that relate the disease to prevention and epidemiology. No articles were found with the terms Covid-19, AI, prevention and epidemiology. AI was found in 13 documents on Epidemiology. It is suggested the implementation of information systems with AI in quarantine monitoring and prediction, equipment for testing and helping to manage epidemic crises.
publishDate 2020
dc.date.none.fl_str_mv 2020-04-16
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Prospecção; Revisão de Literatura
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufba.br/index.php/nit/article/view/36190
10.9771/cp.v13i2.36190
url https://periodicos.ufba.br/index.php/nit/article/view/36190
identifier_str_mv 10.9771/cp.v13i2.36190
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufba.br/index.php/nit/article/view/36190/21006
dc.rights.driver.fl_str_mv Copyright (c) 2020 Cadernos de Prospecção
https://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Cadernos de Prospecção
https://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal da Bahia
publisher.none.fl_str_mv Universidade Federal da Bahia
dc.source.none.fl_str_mv Cadernos de Prospecção; Vol. 13 No. 2 (2020): Edição Especial - Coronavírus (SARS-COV-2) e COVID-19; 543
Cadernos de Prospecção; v. 13 n. 2 (2020): Edição Especial - Coronavírus (SARS-COV-2) e COVID-19; 543
2317-0026
1983-1358
reponame:Cadernos de Prospecção (Online)
instname:Universidade Federal da Bahia (UFBA)
instacron:UFBA
instname_str Universidade Federal da Bahia (UFBA)
instacron_str UFBA
institution UFBA
reponame_str Cadernos de Prospecção (Online)
collection Cadernos de Prospecção (Online)
repository.name.fl_str_mv Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA)
repository.mail.fl_str_mv cadernosdeprospeccao@gmail.com || maliceribeiro@yahoo.com.br || cadernosdeprospeccao@gmail.com || saionaraluna@gmail.com
_version_ 1799319847829504000

Registros relacionados