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  • [\'Faculty of Science and Technology, São Paulo State University (UNESP), Presidente Prudente 19060-900, Brazil.\', \'Department of Energy Engineering, São Paulo State University (UNESP), Rosana 19273-000, Brazil.\', \'Institute of Mathematics and Computer Sciences, University of São Paulo (USP), São Carlos 13566-590, Brazil.\']
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  • -1
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?:doi
?:doi
  • E54010.3390/s21020540
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  • Sensors (Basel, Switzerland)
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  • 33451092
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  • -1
?:title
  • Towards Providing Effective Data-Driven Responses to Predict the Covid-19 in São Paulo and Brazil.
?:type
?:year
  • 2021

Metadata

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Anon_1   (more)
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