Health and Social Care Inequalities During the First Wave of COVID-19 in Italy; Comment on "Experiences and Implications of the First Wave of the COVID-19 Emergency in Italy: A Social Science Perspective".

The impact of COVID-19 on the Italian population is well-known and has been deeply analysed under the clinical and epidemiological perspectives where the majority of the studies focused on the beginning of the first wave (March-May 2020). However, there is a need for analysing this complex phenomenon integrating the clinical side with the economic and social lens to better understand implications of a pandemic for populations. In their paper Masino and Enria focused the attention on four specific perspectives: health system reaction to the pandemic, inequalities in the work world, social care from the elderly point of view and the government communication challenges.

Spatio-temporal variations and contextual factors of the supply of Airbnb in Rome. An initial investigation.

This paper offers an analysis of the supply of Airbnb accommodation in Rome, one of the main tourist destinations in the world, the third-largest city in Europe, by the number of Airbnb listings. The aim is to focus on the recent spatial trend of Airbnb listings, including the period of the COVID-19 pandemic, and highlight the main housing and socioeconomic characteristics of the neighbourhoods associated with a strong presence of Airbnb listings. The study is developed with quantitative methods and spatial regression (spatial lag and spatial error using OLS as a benchmark), based on data collected from the Inside Airbnb and Tomslee websites.

Fake news detection: a survey of evaluation datasets.

Fake news detection has gained increasing importance among the research community due to the widespread diffusion of fake news through media platforms. Many dataset have been released in the last few years, aiming to assess the performance of fake news detection methods. In this survey, we systematically review twenty-seven popular datasets for fake news detection by providing insights into the characteristics of each dataset and comparative analysis among them.

A medical device domain analysis model based on HL7 RIM.

Clinical investigations (CIs) are carried out to demonstrate safety and efficacy of new Medical Devices (MDs). The presence of many stakeholders participating in CIs makes it necessary to develop a common standard language to achieve semantic interoperability among systems and organizations. In Italy the National Research Council is carrying out a project supported by Ministry of Health aiming to develop an information system (MEDIS) that manages MD clinical investigations.