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Projeto de investigação
Laboratory for Integrative and Translational Research in Population Health
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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
Spatiotemporal analysis of mosquito-borne infections and mosquito vectors in mainland Portugal
Publication . Moutinho, Sandra; Rocha, Jorge; Gomes, Alberto; Gomes, Bernardo; Ribeiro, Ana Isabel
Background The incidence of mosquito-borne infections has increased worldwide. Mainland Portugal’s
characteristics might favour the (re)emergence of mosquito-borne diseases. This study aimed to characterize the spatial distribution of vectors and notification rates of imported cases of mosquito-borne infections in mainland Portugal and demarcate the areas where these geographies overlap.
Methods We used data from imported cases of malaria, dengue and Zika from 2009 to 2019, alongside data on the presence of mosquitoes capable of potentially transmitting these diseases at the municipality level (2009–2018). This data was provided by the National Epidemiological Surveillance System and Regional Health Administrations, based on reports from the Vector Surveillance Network. While the mosquitoes in question do not currently transmit these diseases, they have the potential to do so if there is a significant increase in pathogen circulation. A spatial cluster analysis was performed using the univariate Local Moran Index, the Bivariate Moran Local Index and the MannKendall method.
Results We found significant spatial variability in both notification rates of imported mosquito-borne infections
and the distribution of competent mosquito species. We identified clusters of simultaneous high concentrations
of vectors and imported cases of malaria in Condeixa-a-Nova (Coimbra), Cuba (Beja), Santiago do Cacém (Setúbal), Albufeira and São Brás de Alportel (Faro), most located on the Southern coast of Portugal. For dengue, we detected clusters of simultaneous high concentrations of vectors and imported cases in Paredes, in the Northern region, and Faro, on the southern coast. For Zika, no clusters were identified.
Conclusion This study identified areas with high notification rates of imported cases and the presence of competent vectors. Surveillance, control, and awareness efforts are essential, as these areas may present higher risks for local transmission in the future if ecological conditions remain or become suitable, potentially evolving into foci for disease transmission.
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).
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Entidade financiadora
Fundação para a Ciência e a Tecnologia
Programa de financiamento
6817 - DCRRNI ID
Número da atribuição
LA/P/0064/2020