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Projeto de investigação
Epidemiology Research Unit - Institute of Public Health, University of Porto
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Autores
Publicações
Espaços verdes urbanos e saúde mental durante o confinamento causado pela Covid-19
Publication . Tendais, Iva; Ribeiro, Ana Isabel
Na ausência de intervenções farmacológicas eficazes contra a COVID-19, muitos governos implementaram confinamentos e outras medidas de isolamento social. Porém, estas medidas estão associadas a uma deterioração da saúde mental e do bem-estar da população. Os efeitos deletérios do confinamento na saúde mental da população poderão ser mais acentuados nas cidades, em comunidades socialmente desfavorecidas e entre grupos demográficos vulneráveis, como crianças e idosos. No entanto, a utilização e contacto com espaços verdes urbanos (ex.: parques urbanos, jardins públicos e privados) e outros espaços naturais (ex.: praias, zonas ribeirinhas) poderá reduzir o stress causado pelo confinamento e proporcionar oportunidades de relaxamento, promovendo a resiliência urbana. Este artigo pretende discutir os modelos teóricos subjacentes a esta hipótese, sumariar evidência científica sobre o tema e lançar possíveis soluções.
Sentiment analysis using a lexicon-based approach in Lisbon, Portugal
Publication . Betco, Iuria; Ribeiro, Ana Isabel; Vale, David S.; Encalada Abarca, Luis; Viana, Cláudia M.; Rocha, Jorge
Advances in digital sensors and Information flow have created
an abundance of data generated by users under various emotional
states in different situations. Although this opens up a new facet in
spatial research, the large amount of data makes it difficult to analyze and obtain complete and comprehensive information leading
to an increase in the demand for sentiment analysis. In this study,
the Canadian National Research Council (NRC) of Sentiment and
Emotion Lexicon (EmoLex) was used, based on data from the
social network Twitter (now X), thus enabling the identification
of the places in Lisbon where both positive and negative sentiment
prevails. From the results obtained, the Portuguese are happy in
spaces associated with leisure and consumption, such as museums, event venues, gardens, shopping centres, stores, and restaurants. The high score of words associated with negative sentiment
have more bias, since the lexicon sometimes has difficulties to
identify the context in which the word appears, ending up giving
it a negative score (e.g., war, terminal).
Health workers’ perspectives on the quality of maternal and newborn health care around the time of childbirth: results of the Improving MAternal Newborn carE in the EURO Region (IMAgiNE EURO) project in 12 countries of the world health organization european region
Publication . Valente, Emanuelle Pessa; Mariani, Ilaria; Bomben, Arianna; Morano, Sandra; Gemperle, Michael; Otelea, Marina Ruxandra; Miani, Céline; Elden, Helen; Sarantaki, Antigoni; Costa, Raquel; Baranowska, Barbara; König-Bachmann, Martina; Kongslien, Sigrun; Drandić, Daniela; Rozée, Virginie; Nespoli, Antonella; Abderhalden-Zellweger, Alessia; Nanu, Ioana; Batram-Zantvoort, Stephanie; Linden, Karolina; Metallinou, Dimitra; Dias, Heloísa; Tataj-Puzyna, Urszula; D’Costa, Elisabeth; Nedberg, Ingvild Hersoug; Kurbanović, Magdalena; de La Rochebrochard, Elise; Fumagalli, Simona; Grylka-Baeschlin, Susanne; Handra, Claudia Mariana; Zaigham, Mehreen; Orovou, Eirini; Barata, Catarina; Szlendak, Beata; Zenzmaier, Christoph; Vik, Eline Skirnisdottir; Liepinaitienė, Alina; Drglin, Zalka; Arendt, Maryse; Sacks, Emma; Lazzerini, Marzia
Simulating the effects of mobility restrictions in the spread of SARS-CoV-2 in metropolitan areas in Portugal
Publication . Oliveira, Sandra; Ribeiro, Ana Isabel; Nogueira, Paulo; Rocha, Jorge
Commuting flows and long-distance travel are important spreading factors of viruses and
particularly airborne ones. Therefore, it is relevant to examine the association among
diverse mobility scenarios and the spatial dissemination of SARS-CoV-2 cases. We
intended to analyze the patterns of virus spreading linked to different mobility scenarios, in
order to better comprehend the effect of the lockdown measures, and how such measures
can be better informed. We simulated the effects of mobility restrictions in the spread of
SARS-CoV-2 amongst the municipalities of two metropolitan areas, Lisbon (LMA) and Porto
(PMA). Based on an adapted SEIR (Suscetible-Exposed-Infected-Removed) model, we
estimated the number of new daily infections during one year, according to different mobility
scenarios: restricted to essential activities, industrial activities, public transport use, and a
scenario with unrestricted mobility including all transport modes. The trends of new daily
infections were further explored using time-series clustering analysis, using dynamic time
warping. Mobility restrictions resulted in lower numbers of new daily infections when compared
to the unrestricted mobility scenario, in both metropolitan areas. Between March and
September 2020, the official number of new infections followed overall a similar timeline to
the one simulated considering only essential activities. At the municipal level, trends differ
amongst the two metropolitan areas. The analysis of the effects of mobility in virus spread
within different municipalities and regions could help tailoring future strategies and increase
the public acceptance of eventual restrictions.
Unidades organizacionais
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Entidade financiadora
Fundação para a Ciência e a Tecnologia
Programa de financiamento
6817 - DCRRNI ID
Número da atribuição
UIDB/04750/2020