ABSTRACT
In the last years, there has been an ever-increasing interest in profiling various aspects of city life, especially in the context of smart cities. This interest has become even more relevant recently when we have realized how dramatic events, such as the Covid-19 pandemic, can deeply affect the city life, producing drastic changes. Identifying and analyzing such changes, both at the city level and within single neighborhoods, may be a fundamental tool to better manage the current situation and provide sound strategies for future planning. Furthermore, such fine-grained and up-to-date characterization can represent a valuable asset for other tools and services, e.g., web mapping applications or real estate agency platforms. In this article, we propose a framework featuring a novel methodology to model and track changes in areas of the city by extracting information from online newspaper articles. The problem of uncovering clusters of news at specific times is tackled by means of the joint use of state-of-the-art language models to represent the articles, and of a density-based streaming clustering algorithm, properly shaped to deal with high-dimensional text embeddings. Furthermore, we propose a method to automatically label the obtained clusters in a semantically meaningful way, and we introduce a set of metrics aimed at tracking the temporal evolution of clusters. A case study focusing on the city of Rome during the Covid-19 pandemic is illustrated and discussed to evaluate the effectiveness of the proposed approach.
ABSTRACT
In the first COVID-19 pandemic period, when no vaccines were available, individual behaviours were essential for controlling the spread of the virus. In this context of rapidly changing guidance, emerging new evidence, fake news and misinformation, there have been new challenges for health literacy (HL). This study explored whether guidance-compliant healthy behaviours were associated with HL in individuals who have performed essential activities (public employees and volunteers of the Civil Protection) during the lock-down period in the Province of Prato, Italy. Items on knowledge, attitudes and practices (KAP) towards COVID-19 preventive measures and COVID-19 risk perception, along with the Italian version of the 6-items European Health Literacy Survey Questionnaire (HLS-EU-Q6), were collected using a self-administered structured questionnaire. In May 2020, 751 responses were collected;respondents were mostly males (59%), younger than 65 years old (83.5%), with sufficient HL (56%), and never smokers (54.2%). Most of the items related to the KAP towards COVID-19 preventive measures were significantly correlated with the HLS-EU-Q6 score in the total sample. In the multiple linear model, HL results to be a predictor of both a better self-reported knowledge of COVID-19 preventive measures (beta 0.32 for sufficient HL, 0.11 for problematic HL, 1.00 for inadequate HL) and a higher score of attitude towards the importance of COVID-19 preventive measures (beta 0.33 for sufficient HL, 0.17 for problematic HL, 1.00 for inadequate HL), while it has no role in predicting a higher risk perception. These findings can be useful to understand the importance of HL in promoting guidance-compliant healthy behaviours and in helping people to understand the rapidly changing public health messages and then act accordingly. Key messages Lower levels of Health Literacy predict poor COVID-19 related knowledge and a worse attitudes towards the importance of COVID-19 preventive measures. Health Literacy may be an important factor in promoting guidance-compliant healthy behaviours and in helping people to understand the rapidly changing public health messages and then act accordingly.
ABSTRACT
Tracking and profiling changes in the occurrence of notable events in a city, in terms of what happens in the different areas and how possible changes are perceived, is an important issue in the context of smart cities: in fact, it may be helpful in developing applications to help administrations and citizens alike. In this paper, we propose an approach to provide time-sensitive snapshots of events within the different areas of a city, and the city as a whole. To probe inside neighborhoods and communities, we propose to use articles in online newspapers, as they represent an accessible source of information on what notable events actually happen, and on the most relevant topics at a given moment in time. We adopt an approach to group up articles by means of clustering, and to automatically assign labels to clusters by analyzing their content. The outcomes of this procedure, repeated along a certain timespan, are able to describe the temporal evolution of notable events in specific city areas. In this paper we show the effectiveness of the proposed methodology by reporting a case study for the city of Rome, over an investigation span of few years, which includes also the Covid-19 pandemic period. © 2021 IEEE.
ABSTRACT
INTRODUCTION: The global COVID-19 pandemic is placing a heavy burden on health services. One result could be a general reduction in routine vaccination activities. In Tuscany (Central Italy), paediatricians (in agreement with the regional health service) administer and register paediatric vaccinations of their patients. The aim of the present study was to evaluate the impact of the COVID-19 epidemic on paediatric vaccinations administered by Tuscan paediatricians, as a proxy of adherence to vaccinations during this epidemic period. METHODS: Four hundred members of the Tuscany section of the Italian Federation of Paediatricians (FIMP) were invited to participate in a semi-structured online survey. RESULTS: During the COVID-19 pandemic, almost all (98.2%) of the 223 respondents reported a general decline in outpatient paediatric visits; 65.8% reported a more than 60% reduction (144 answers) in comparison with the situation before the COVID-19 pandemic. A total of 208 paediatricians (93.3%) continued to vaccinate in the period considered: 66/208 (31.7%) reported a reduction in parents' compliance with mandatory vaccination (hexavalent and MMRV vaccines), and 88/208 (42.3%) reported a reduction in compliance with non-mandatory vaccinations. Almost all paediatricians declared having taken preventive actions to counter the spread of SARS-CoV-2. DISCUSSION AND CONCLUSIONS: Although the majority of Tuscan paediatricians continued to vaccinate during the lock-down, some parents decided to postpone their children's scheduled vaccinations, mainly owing to fears concerning the safety of access to health services. When Italian immunization coverage data on the first months of 2020 become available, it will be possible to assess the real impact of the COVID-19 pandemic on paediatric vaccinations. It is crucial to continue vaccinating against preventable infectious diseases in order to avoid other possible epidemic outbreaks. The pandemic must not be seen as an obstacle to compliance with the vaccination schedule, but rather as an excellent opportunity to underline the importance of all recommended vaccinations.