ABSTRACT
Since 2016, Istat has published the Social Mood on Economy Index (SMEI), an experimental high-frequency sentiment index derived from public tweets in Italian. Since the economic shock produced by the Covid-19 pandemic has not significantly affected the SMEI series, we wondered to what extent the SMEI could grasp the change in the mood due to the pandemic. We produced alternative sentiment indicators, and we compared them to nontraditional high-frequency series to assess the coherence of the SMEI. An alternative index, calculated by introducing pandemic-related terms in the lexicon used for sentiment analysis, better grasped the negative economic trend during the pandemic. We concluded that a continuous adaptation of the dictionary in lexicon-based techniques could improve the coherence. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
There are growing concerns about how healthcare systems can adapt in times of crisis. The overarching challenge lies in how resilience engineering could be used to analyze and improve the performance of healthcare systems concerning the Covid-19. This study aims to describe the relationship between resilience potentials and health and safety aspects and its consequences on quality and resilience in healthcare systems. This study has a quantitative methodological approach using a survey with the Resilience Analysis Grid as an approach to analyzing organizational resilience based on the idea that four potential (responding, monitoring, learning and anticipating) influence patient safety, occupational health and safety and resilient system performance. As for this study results, anticipating and monitoring, overall resilience and occupational health and safety are the variables that need more attention in healthcare systems. This study has a dyad of contributions, as a practice, evaluate the resilience in a pandemic time, and as theoretical, the identification of the importance of resilience four potential connections in healthcare systems. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.