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COVID-19 Next Day Trend Forecast

dc.contributor.authorCosta, Marcelo
dc.contributor.authorRodrigues, Margarida
dc.contributor.authorBaptista, Pedro
dc.contributor.authorHenriques, João
dc.contributor.authorPires, Ivan Miguel
dc.contributor.authorWanzeller, Cristina
dc.contributor.authorCaldeira, Filipe
dc.date.accessioned2023-07-04T10:28:55Z
dc.date.available2023-07-04T10:28:55Z
dc.date.issued2021
dc.date.updated2023-06-14T14:33:21Z
dc.description.abstractHistorically, weather conditions are depicted as an essential factor to be considered in predicting variation infections due to respiratory diseases, including influenza and Severe Acute Respiratory Syndrome SARS-CoV-2, best known as COVID-19. Predicting the number of cases will contribute to plan human and non-human resources in hospital facilities, including beds, ventilators, and support policy decisions on sanitary population warnings, and help to provision the demand for COVID-19 tests. In this work, an integrated framework predicts the number of cases for the upcoming days by considering the COVID-19 cases and temperature records supported by a kNN algorithm.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-030-91421-9_4pt_PT
dc.identifier.issn1867-8211
dc.identifier.issn1867-822X
dc.identifier.slugcv-prod-2632029
dc.identifier.urihttp://hdl.handle.net/10400.19/7851
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer International Publishingpt_PT
dc.subjectKNNpt_PT
dc.subjectCOVID-19 casespt_PT
dc.subjecttemperaturept_PT
dc.titleCOVID-19 Next Day Trend Forecastpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage50pt_PT
oaire.citation.startPage44pt_PT
oaire.citation.titleSmart Objects and Technologies for Social Good. GOODTECHS 2021pt_PT
person.familyNameMenoita Henriques
person.familyNameSerrano Pires
person.familyNameWanzeller Guedes de Lacerda
person.familyNameCaldeira
person.givenNameJoão Pedro
person.givenNameIvan Miguel
person.givenNameAna Cristina
person.givenNameFilipe
person.identifierhttps://scholar.google.pt/citations?user=AExQrJwAAAAJ
person.identifier-6iey0oAAAAJ
person.identifierlXPmBvYAAAAJ
person.identifier.ciencia-idBB15-BFE2-17AA
person.identifier.ciencia-id211D-8B3D-0131
person.identifier.ciencia-idE81F-11C0-E77C
person.identifier.ciencia-idCB11-8109-AB1D
person.identifier.orcid0000-0001-7380-9511
person.identifier.orcid0000-0002-3394-6762
person.identifier.orcid0000-0001-7558-2330
person.identifier.scopus-author-id56715367700
person.identifier.scopus-author-id36023210300
rcaap.cv.cienciaidCB11-8109-AB1D | Filipe Caldeira
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublicatione845705e-5b0b-4f70-9c53-c472ffd768d1
relation.isAuthorOfPublication.latestForDiscoveryc026e08a-a9e5-48f8-a9fc-00c7482dc3c0

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