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

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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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Public Health
Subjects:
SARS-CoV-2 spread forecast
intelligent forecasting systems
infectious diseases
dynamic forecasting systems
Covid-19 forecasting
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2020.580815/full

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https://www.frontiersin.org/articles/10.3389/fpubh.2020.580815/full

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