Exploring forms of disaggregating Covid-19 data: an example

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorLeal, Maria da Conceição Dias-
Autor(es): dc.creatorMukherjee, Amitava-
Autor(es): dc.creatorOliveira, Amilcar-
Autor(es): dc.creatorOliveira, Teresa A.-
Data de aceite: dc.date.accessioned2025-08-21T15:14:49Z-
Data de disponibilização: dc.date.available2025-08-21T15:14:49Z-
Data de envio: dc.date.issued2024-08-14-
Data de envio: dc.date.issued2024-08-14-
Data de envio: dc.date.issued2024-06-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/10400.2/16497-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/10400.2/16497-
Descrição: dc.descriptionCOVID-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.-
Descrição: dc.descriptioninfo:eu-repo/semantics/publishedVersion-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Publicador: dc.publisherInternational Conference on Mathematical Analysis and Applications in Science and Engineering ICMA2 SC’24 ISEP Porto-Portugal-
Palavras-chave: dc.subjectTimes series disaggregation-
Palavras-chave: dc.subjectModelling COVID-19 data-
Palavras-chave: dc.subjectModel fit-
Título: dc.titleExploring forms of disaggregating Covid-19 data: an example-
Aparece nas coleções:Repositório Aberto - Universidade Aberta (Portugal)

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