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

Authors

DOI:

https://doi.org/10.9771/cp.v13i2.36190

Keywords:

Covid-19, Epidemiology, Prevention, Artificial Intelligence.

Abstract

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.

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Author Biographies

Robson Almeida Borges de Freitas, Federal Institute of Piauí, Teresina, PI, Brazil; Federal University of Sergipe, São Cristóvão, SE, Brazil

Degree in Technology in Systems Analysis and Development from the Federal Institute of Piauí (2013). Master in Technologies and Management in Distance Education from the Federal Rural University of Pernambuco - UFRPE. Doctoral student in Intellectual Property Science - UFS.

Humbérila da Costa e Silva Melo, Federal Institute of Piauí, Teresina, PI, Brazil; State University of Ceará, Fortaleza, CE, Brazil

Graduated in FULL LICENSE IN BIOLOGICAL SCIENCES from the State University of Piauí, postgraduate in Latto Senso Specialization in Environmental Education from the Brazilian Institute of Postgraduate and Extension - IBPEX. Student of the Professional Master's in Biotechnology in Human and Animal Health (UECE).

Margarete Almeida Freitas de Azevedo, Federal Institute of Piauí, Teresina, PI, Brazil

Bachelor in Nutrition from the Federal University of Piauí (2008) Master in Epidemiology in Public Health with Emphasis on Poverty-Related Diseases - Fundação Oswaldo Cruz Rio de Janeiro - UFPI.

Antonio Martins de Oliveira Junior, Federal University of Sergipe, São Cristóvão, SE, Brazil

Graduated in Chemical Engineering - UFS, specialization in University Administration (UEL-2001), Master's in Chemical Engineering - UFRJ and PhD in Chemical Engineering from the Federal University of Rio de Janeiro (COPPE/UFRJ-2006).

José Luiz Silva Sá, State University of Piauí, Teresina, PI, Brazil

He holds a degree in Full Licentiate in Chemistry from the State University of Piauí (2005), a Master's in Chemistry from the Institute of Chemistry of São Carlos - USP (2008) and a PhD in Science (Chemistry) from the University of São Paulo (2011).

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Published

2020-04-16

How to Cite

Freitas, R. A. B. de, Melo, H. da C. e S., Azevedo, M. A. F. de, Oliveira Junior, A. M. de, & Sá, J. L. S. (2020). Scientific Prospection on Epidemiology and Prevention of Covid-19 Allyed to Artificial Intelligence. Cadernos De Prospecção, 13(2), 543. https://doi.org/10.9771/cp.v13i2.36190

Issue

Vol. 13 No. 2 (2020): Edição Especial - Coronavírus (SARS-COV-2) e COVID-19

Section

Coronavirus (SARS-COV-2) e COVID-19

License

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