A carregar...
Projeto de investigação
Not Available
Financiador
Autores
Publicações
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).
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.
Spatial Analysis of Mosquito-Borne Diseases in Europe: A Scoping Review
Publication . Moutinho, Sandra; Rocha, Jorge; Gomes, Alberto; Gomes, Bernardo; Ribeiro, Ana Isabel
Mosquito-borne infections are increasing in endemic areas and previously unaffected
regions. In 2020, the notification rate for Dengue was 0.5 cases per 100,000 population, and for
Chikungunya <0.1/100,000. In 2019, the rate for Malaria was 1.3/100,000, and for West Nile Virus,
0.1/100,000. Spatial analysis is increasingly used in surveillance and epidemiological investigation,
but reviews about their use in this research topic are scarce. We identify and describe the methodological approaches used to investigate the distribution and ecological determinants of mosquito-borne
infections in Europe. Relevant literature was extracted from PubMed, Scopus, and Web of Science
from inception until October 2021 and analysed according to PRISMA-ScR protocol. We identified
110 studies. Most used geographical correlation analysis (n = 50), mainly applying generalised linear
models, and the remaining used spatial cluster detection (n = 30) and disease mapping (n = 30),
mainly conducted using frequentist approaches. The most studied infections were Dengue (n = 32),
Malaria (n = 26), Chikungunya (n = 26), and West Nile Virus (n = 24), and the most studied ecological
determinants were temperature (n = 39), precipitation (n = 24), water bodies (n = 14), and vegetation
(n = 11). Results from this review may support public health programs for mosquito-borne disease
prevention and may help guide future research, as we recommended various good practices for
spatial epidemiological studies.
Unidades organizacionais
Descrição
Palavras-chave
Contribuidores
Financiadores
Entidade financiadora
Fundação para a Ciência e a Tecnologia
Programa de financiamento
CEEC IND 2018
Número da atribuição
CEECIND/02386/2018/CP1538/CT0001