Utilize este identificador para referenciar este registo: http://hdl.handle.net/10451/46822
Título: 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
Autor: Sousa, Paulo
Marques Da Costa, Nuno
Marques Da Costa, Eduarda
Rocha, Jorge
Ricoca Peixoto, Vasco
Campos Fernandes, Adalberto
Gaspar, Rogério
Duarte-Ramos, Filipa
Abrantes, Patrícia
Leite, Andreia
Palavras-chave: Municipal level
COVID-19
Pandemics
Linear model
Non-linear model
Data: 2021
Editora: S. Karger AG
Citação: Sousa, 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/10.1159/000514334
Resumo: The 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.
Peer review: yes
URI: http://hdl.handle.net/10451/46822
DOI: 10.1159/000514334
ISSN: 25043145
Versão do Editor: https://www.karger.com/Article/FullText/514334#
Aparece nas colecções:IGOT - Artigos em Revistas Nacionais

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