Artificial Intelligence in the Prevention of COVID-19: prospecting in the epidemiological context in the post-pandemic world
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Cadernos de Prospecção (Online) |
DOI: | 10.9771/cp.v16i2.50873 |
Texto Completo: | https://periodicos.ufba.br/index.php/nit/article/view/50873 |
Resumo: | The pandemic caused by COVID-19 motivated scientific and technological development to face it. Artificial Intelligence (AI) enters as a branch capable of assisting in epidemiological control and disease prevention. The objective of this article is to carry out scientific and technological prospecting on AI in the epidemiological and prevention context. Such information can contribute to combating new health crises. The Lens.org platform was used to investigate scientific works and patents relating AI, prevention, epidemiology and COVID-19. 57 articles and 19 patents were found, of these, one patent that cites an article and four patents that are cited in new technologies. It is observed that AI is an ally in epidemiological control, in the prevention and diagnosis of COVID-19 and can contribute to the analysis of large volumes of data, in the generation of control strategies, in the conduct of tests and in the creation of medicine or vaccines. |
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Cadernos de Prospecção (Online) |
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Artificial Intelligence in the Prevention of COVID-19: prospecting in the epidemiological context in the post-pandemic worldInteligência Artificial na Prevenção da COVID-19: prospecção no contexto epidemiológico no mundo pós-pandêmicoInteligência ArtificialEpidemiologiaCOVID-19.Artificial IntelligenceEpidemiologyCOVID-19.The pandemic caused by COVID-19 motivated scientific and technological development to face it. Artificial Intelligence (AI) enters as a branch capable of assisting in epidemiological control and disease prevention. The objective of this article is to carry out scientific and technological prospecting on AI in the epidemiological and prevention context. Such information can contribute to combating new health crises. The Lens.org platform was used to investigate scientific works and patents relating AI, prevention, epidemiology and COVID-19. 57 articles and 19 patents were found, of these, one patent that cites an article and four patents that are cited in new technologies. It is observed that AI is an ally in epidemiological control, in the prevention and diagnosis of COVID-19 and can contribute to the analysis of large volumes of data, in the generation of control strategies, in the conduct of tests and in the creation of medicine or vaccines.A pandemia ocasionada pela COVID-19 motivou o desenvolvimento científico e tecnológico para seu enfrentamento. A Inteligência Artificial (IA) entra como um ramo capaz de auxiliar no controle epidemiológico e na prevenção da doença. O objetivo deste artigo é realizar a prospecção científica e tecnológica sobre IA no contexto epidemiológico e de prevenção no mundo pós-pandêmico. Tais informações podem contribuir para combater novas crises de saúde. A plataforma Lens.org foi utilizada para averiguar trabalhos científicos e patentes relacionando IA, prevenção e epidemiologia com a COVID-19. Foram encontrados 57 artigos e 19 patentes, destas, uma patente que cita um artigo e quatro patentes que são citadas em novas tecnologias. Observa-se que a IA se tornou um aliado no controle epidemiológico, na prevenção e no diagnóstico da COVID-19 e pode contribuir com a análise de grande volume de dados, na geração de estratégias de controle, na condução de testes e na criação de medicamento ou vacinas.Universidade Federal da Bahia2023-03-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufba.br/index.php/nit/article/view/5087310.9771/cp.v16i2.50873Cadernos de Prospecção; Vol. 16 No. 2 (2023): Edição Especial Covid 19 - O Mundo Pós Pandemia; 373-389Cadernos de Prospecção; v. 16 n. 2 (2023): Edição Especial Covid 19 - O Mundo Pós Pandemia; 373-3892317-00261983-1358reponame:Cadernos de Prospecção (Online)instname:Universidade Federal da Bahia (UFBA)instacron:UFBAporhttps://periodicos.ufba.br/index.php/nit/article/view/50873/28540Copyright (c) 2023 Cadernos de Prospecçãohttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessFreitas, Robson Almeida Borges de Melo, Humbérila da Costa e Silva Azevedo, Margarete Almeida Freitas deOliveira Junior, Antonio Martins de 2023-03-15T23:03:43Zoai:ojs.periodicos.ufba.br:article/50873Revistahttps://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:2023-03-15T23:03:43Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA)false |
dc.title.none.fl_str_mv |
Artificial Intelligence in the Prevention of COVID-19: prospecting in the epidemiological context in the post-pandemic world Inteligência Artificial na Prevenção da COVID-19: prospecção no contexto epidemiológico no mundo pós-pandêmico |
title |
Artificial Intelligence in the Prevention of COVID-19: prospecting in the epidemiological context in the post-pandemic world |
spellingShingle |
Artificial Intelligence in the Prevention of COVID-19: prospecting in the epidemiological context in the post-pandemic world Artificial Intelligence in the Prevention of COVID-19: prospecting in the epidemiological context in the post-pandemic world Freitas, Robson Almeida Borges de Inteligência Artificial Epidemiologia COVID-19. Artificial Intelligence Epidemiology COVID-19. Freitas, Robson Almeida Borges de Inteligência Artificial Epidemiologia COVID-19. Artificial Intelligence Epidemiology COVID-19. |
title_short |
Artificial Intelligence in the Prevention of COVID-19: prospecting in the epidemiological context in the post-pandemic world |
title_full |
Artificial Intelligence in the Prevention of COVID-19: prospecting in the epidemiological context in the post-pandemic world |
title_fullStr |
Artificial Intelligence in the Prevention of COVID-19: prospecting in the epidemiological context in the post-pandemic world Artificial Intelligence in the Prevention of COVID-19: prospecting in the epidemiological context in the post-pandemic world |
title_full_unstemmed |
Artificial Intelligence in the Prevention of COVID-19: prospecting in the epidemiological context in the post-pandemic world Artificial Intelligence in the Prevention of COVID-19: prospecting in the epidemiological context in the post-pandemic world |
title_sort |
Artificial Intelligence in the Prevention of COVID-19: prospecting in the epidemiological context in the post-pandemic world |
author |
Freitas, Robson Almeida Borges de |
author_facet |
Freitas, Robson Almeida Borges de Freitas, Robson Almeida Borges de Melo, Humbérila da Costa e Silva Azevedo, Margarete Almeida Freitas de Oliveira Junior, Antonio Martins de Melo, Humbérila da Costa e Silva Azevedo, Margarete Almeida Freitas de Oliveira Junior, Antonio Martins de |
author_role |
author |
author2 |
Melo, Humbérila da Costa e Silva Azevedo, Margarete Almeida Freitas de Oliveira Junior, Antonio Martins de |
author2_role |
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 |
dc.subject.por.fl_str_mv |
Inteligência Artificial Epidemiologia COVID-19. Artificial Intelligence Epidemiology COVID-19. |
topic |
Inteligência Artificial Epidemiologia COVID-19. Artificial Intelligence Epidemiology COVID-19. |
description |
The pandemic caused by COVID-19 motivated scientific and technological development to face it. Artificial Intelligence (AI) enters as a branch capable of assisting in epidemiological control and disease prevention. The objective of this article is to carry out scientific and technological prospecting on AI in the epidemiological and prevention context. Such information can contribute to combating new health crises. The Lens.org platform was used to investigate scientific works and patents relating AI, prevention, epidemiology and COVID-19. 57 articles and 19 patents were found, of these, one patent that cites an article and four patents that are cited in new technologies. It is observed that AI is an ally in epidemiological control, in the prevention and diagnosis of COVID-19 and can contribute to the analysis of large volumes of data, in the generation of control strategies, in the conduct of tests and in the creation of medicine or vaccines. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-03-15 |
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://periodicos.ufba.br/index.php/nit/article/view/50873 10.9771/cp.v16i2.50873 |
url |
https://periodicos.ufba.br/index.php/nit/article/view/50873 |
identifier_str_mv |
10.9771/cp.v16i2.50873 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufba.br/index.php/nit/article/view/50873/28540 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Cadernos de Prospecção https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 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. 16 No. 2 (2023): Edição Especial Covid 19 - O Mundo Pós Pandemia; 373-389 Cadernos de Prospecção; v. 16 n. 2 (2023): Edição Especial Covid 19 - O Mundo Pós Pandemia; 373-389 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_ |
1822182969190645760 |
dc.identifier.doi.none.fl_str_mv |
10.9771/cp.v16i2.50873 |