Publication
COVID-19 Next Day Trend Forecast
dc.contributor.author | Costa, Marcelo | |
dc.contributor.author | Rodrigues, Margarida | |
dc.contributor.author | Baptista, Pedro | |
dc.contributor.author | Henriques, João | |
dc.contributor.author | Pires, Ivan Miguel | |
dc.contributor.author | Wanzeller, Cristina | |
dc.contributor.author | Caldeira, Filipe | |
dc.date.accessioned | 2023-07-04T10:28:55Z | |
dc.date.available | 2023-07-04T10:28:55Z | |
dc.date.issued | 2021 | |
dc.date.updated | 2023-06-14T14:33:21Z | |
dc.description.abstract | Historically, 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.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.doi | 10.1007/978-3-030-91421-9_4 | pt_PT |
dc.identifier.issn | 1867-8211 | |
dc.identifier.issn | 1867-822X | |
dc.identifier.slug | cv-prod-2632029 | |
dc.identifier.uri | http://hdl.handle.net/10400.19/7851 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | Springer International Publishing | pt_PT |
dc.subject | KNN | pt_PT |
dc.subject | COVID-19 cases | pt_PT |
dc.subject | temperature | pt_PT |
dc.title | COVID-19 Next Day Trend Forecast | pt_PT |
dc.type | conference object | |
dspace.entity.type | Publication | |
oaire.citation.endPage | 50 | pt_PT |
oaire.citation.startPage | 44 | pt_PT |
oaire.citation.title | Smart Objects and Technologies for Social Good. GOODTECHS 2021 | pt_PT |
person.familyName | Menoita Henriques | |
person.familyName | Serrano Pires | |
person.familyName | Wanzeller Guedes de Lacerda | |
person.familyName | Caldeira | |
person.givenName | João Pedro | |
person.givenName | Ivan Miguel | |
person.givenName | Ana Cristina | |
person.givenName | Filipe | |
person.identifier | https://scholar.google.pt/citations?user=AExQrJwAAAAJ | |
person.identifier | -6iey0oAAAAJ | |
person.identifier | lXPmBvYAAAAJ | |
person.identifier.ciencia-id | BB15-BFE2-17AA | |
person.identifier.ciencia-id | 211D-8B3D-0131 | |
person.identifier.ciencia-id | E81F-11C0-E77C | |
person.identifier.ciencia-id | CB11-8109-AB1D | |
person.identifier.orcid | 0000-0001-7380-9511 | |
person.identifier.orcid | 0000-0002-3394-6762 | |
person.identifier.orcid | 0000-0001-7558-2330 | |
person.identifier.scopus-author-id | 56715367700 | |
person.identifier.scopus-author-id | 36023210300 | |
rcaap.cv.cienciaid | CB11-8109-AB1D | Filipe Caldeira | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | conferenceObject | pt_PT |
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