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Exploring forms of disaggregating Covid-19 data: an example

dc.contributor.authorLeal, Maria da Conceição Dias
dc.contributor.authorOliveira, Teresa
dc.contributor.authorMukherjee, Amitava
dc.contributor.authorOliveira, Amilcar
dc.date.accessioned2024-08-14T08:52:56Z
dc.date.available2024-08-14T08:52:56Z
dc.date.issued2024-06
dc.description.abstractCOVID-19 data provided by Portuguese public health authorities lack consis tency in periodicity and metrics. To facilitate time series analysis, we transformed those data to achieve homogeneous periodicity and metrics. We present one method we used and assess the potential introduced bias and its impact on spatial distribution models of COVID-19 in Portugal, using spatial and non-spatial models. Comparing models fitted with transformed data to those with observed data for two specific days, we found no clear evidence of a worse fit for the disaggregated data.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLeal. C.;Oliveira, T.A.; Mukherjee A.; Oliveira, A. (2024).EXPLORING FORMS OF DISAGGREGATING COVID-19 DATA: AN EXAMPLE. Extended Abstract in the Abstracts Book of the International Conference on Mathematical Analysis and Applications in Science and Engineering ICMA2 SC’24 . ISBN:978-989-35251-7-3 . ISEP Porto-Portugal, June 20 - 22, 2024.pt_PT
dc.identifier.isbn978-989-35251-7-3
dc.identifier.urihttp://hdl.handle.net/10400.2/16497
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherInternational Conference on Mathematical Analysis and Applications in Science and Engineering ICMA2 SC’24 ISEP Porto-Portugalpt_PT
dc.subjectTimes series disaggregationpt_PT
dc.subjectModelling COVID-19 datapt_PT
dc.subjectModel fitpt_PT
dc.titleExploring forms of disaggregating Covid-19 data: an examplept_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceISEP Porto-Portugalpt_PT
oaire.citation.endPage56pt_PT
oaire.citation.startPage53pt_PT
oaire.citation.titleInternational Conference on Mathematical Analysis and Applications in Science and Engineering ICMA2 SC’24pt_PT
person.familyNameLeal
person.familyNameOliveira
person.familyNameMukherjee
person.familyNameOliveira
person.givenNameMaria da Conceição Dias
person.givenNameTeresa Azinheira
person.givenNameAmitava
person.givenNameAmilcar
person.identifier2680983
person.identifier1155497
person.identifier.ciencia-idD411-9E54-8EF9
person.identifier.ciencia-id8814-A54B-12DE
person.identifier.ciencia-id7110-61B4-B87F
person.identifier.orcid0000-0003-3803-6204
person.identifier.orcid0000-0003-3283-9946
person.identifier.orcid0000-0001-7462-3217
person.identifier.orcid0000-0001-5500-7742
person.identifier.ridJ-3077-2019
person.identifier.scopus-author-id56790444100
person.identifier.scopus-author-id54403540300
person.identifier.scopus-author-id57201080240
person.identifier.scopus-author-id55675222550
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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