Utilize este identificador para referenciar este registo: http://hdl.handle.net/10451/46822
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degois.publication.firstPage18pt_PT
degois.publication.issueSuppl. 1-
degois.publication.lastPage25pt_PT
degois.publication.titlePortuguese Journal of Public Healthpt_PT
dc.relation.publisherversionhttps://www.karger.com/Article/FullText/514334#pt_PT
dc.contributor.authorSousa, Paulo-
dc.contributor.authorMarques Da Costa, Nuno-
dc.contributor.authorMarques Da Costa, Eduarda-
dc.contributor.authorRocha, Jorge-
dc.contributor.authorRicoca Peixoto, Vasco-
dc.contributor.authorCampos Fernandes, Adalberto-
dc.contributor.authorGaspar, Rogério-
dc.contributor.authorDuarte-Ramos, Filipa-
dc.contributor.authorAbrantes, Patrícia-
dc.contributor.authorLeite, Andreia-
dc.date.accessioned2021-03-15T11:48:43Z-
dc.date.available2021-03-15T11:48:43Z-
dc.date.issued2021-
dc.identifier.citationSousa, Paulo, Marques da Costa, Nuno, Marques da Costa, Eduarda, Rocha, Jorge, et al. (2021). COMPRIME - COnhecer Mais PaRa Intervir MElhor: preliminary mapping of municipal level determinants of COVID-19 transmission in Portugal at different moments of the 1st epidemic wave. Port J Public Health, 38(Suppl. 1), 18–25. https://doi.org/10.1159/000514334pt_PT
dc.identifier.issn25043145-
dc.identifier.urihttp://hdl.handle.net/10451/46822-
dc.description.abstractThe role of demographic and socio-economic determinants of COVID-19 transmission is still unclear and is expected to vary in different contexts and epidemic periods. Exploring such determinants may generate a hypothesis about transmission and aid the definition of prevention strategies. Objectives: To identify municipality-level demographic and socio-economic determinants of COVID-19 in Portugal. Methods: We assessed determinants of COVID-19 daily cases at 4 moments of the first COVID-19 epidemic wave in Portugal, related with lockdown and post-lockdown measures. We selected 60 potential determinants from 5 dimensions: population and settlement, disease, economy, social context, and mobility. We conducted a multiple linear regression (MLR) stepwise analysis (p < 0.05) and an artificial neural network (ANN) analysis with the variables to identify predictors of the number of daily cases. Results: For MLR, some of the identified variables were: resident population and population density, exports, overnight stays in touristic facilities, the location quotient of employment in accommodation, catering and similar activities, education, restaurants and lodging, some industries and building construction, the share of the population working outside the municipality, the net migration rate, income, and renting. In ANN, some of the identified variables were: population density and resident population, urbanization, students in higher education, income, exports, social housing buildings, production services employment, and the share of the population working outside the municipality of residence. Conclusions: Several factors were identified as possible determinants of COVID- 19 transmission at the municipality level. Despite limitations to the study, we believe that this information should be considered to promote communication and prevention approaches. Further research should be conducted.pt_PT
dc.language.isoengpt_PT
dc.publisherS. Karger AGpt_PT
dc.relationCOMPRIMEpt_PT
dc.relationRESEARCH 4 COVID-19” special support, 1st ed. ID. 596685735pt_PT
dc.rightsopenAccesspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectMunicipal levelpt_PT
dc.subjectCOVID-19pt_PT
dc.subjectPandemicspt_PT
dc.subjectLinear modelpt_PT
dc.subjectNon-linear modelpt_PT
dc.titleCOMPRIME - COnhecer Mais PaRa Intervir MElhor: preliminary mapping of municipal level determinants of COVID-19 transmission in Portugal at different moments of the 1st epidemic wavept_PT
dc.typearticlept_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.peerreviewedyespt_PT
degois.publication.volume38-
dc.identifier.doi10.1159/000514334pt_PT
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