COVID-SGIS: A Smart Tool for Dynamic Monitoring and Temporal Forecasting of Covid-19

Background: The global burden of the new coronavirus SARS-CoV-2 is increasing at an unprecedented rate. The current spread of Covid-19 in Brazil is problematic causing a huge public health burden to its population and national health-care service. To evaluate strategies for alleviating such problems...

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Hlavní autoři:	Clarisse Lins de Lima, Cecilia Cordeiro da Silva, Ana Clara Gomes da Silva, Eduardo Luiz Silva, Gabriel Souza Marques, Lucas Job Brito de Araújo, Luiz Antônio Albuquerque Júnior, Samuel Barbosa Jatobá de Souza, Maíra Araújo de Santana, Juliana Carneiro Gomes, Valter Augusto de Freitas Barbosa, Anwar Musah, Patty Kostkova, Wellington Pinheiro dos Santos, Abel Guilhermino da Silva Filho
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2020-11-01
Edice:	Frontiers in Public Health
Témata:	SARS-CoV-2 spread forecast intelligent forecasting systems infectious diseases dynamic forecasting systems Covid-19 forecasting
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fpubh.2020.580815/full
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