Warmth and competence perceptions of key protagonists are associated with containment measures during the COVID-19 pandemic: Evidence from 35 countries.

It is crucial to understand why people comply with measures to contain viruses and their effects during pandemics. We provide evidence from 35 countries (Ntotal = 12,553) from 6 continents during the COVID-19 pandemic (between 2021 and 2022) obtained via cross-sectional surveys that the social perception of key protagonists on two basic dimensions-warmth and competence-plays a crucial role in shaping pandemic-related behaviors. Firstly, when asked in an open question format, heads of state, physicians, and protest movements were universally identified as key protagonists across countries. Secondly, multiple-group confirmatory factor analyses revealed that warmth and competence perceptions of these and other protagonists differed significantly within and between countries. Thirdly, internal meta-analyses showed that warmth and competence perceptions of heads of state, physicians, and protest movements were associated with support and opposition intentions, containment and prevention behaviors, as well as vaccination uptake. Our results have important implications for designing effective interventions to motivate desirable health outcomes and coping with future health crises and other global challenges.

Graph-Based Conversation Analysis in Social Media

Social media platforms offer their audience the possibility to reply to posts through comments and reactions. This allows social media users to express their ideas and opinions on shared content, thus opening virtual discussions. Most studies on social networks have focused only on user relationships or on the shared content, while ignoring the valuable information hidden in the digital conversations, in terms of structure of the discussion and relation between contents, which is essential for understanding online communication behavior. This work proposes a graph-based framework to assess the shape and structure of online conversations. The analysis was composed of two main stages: intent analysis and network generation. Users' intention was detected using keyword-based classification, followed by the implementation of machine learning-based classification algorithms for uncategorized comments. Afterwards, human-in-the-loop was involved in improving the keyword-based classification. To extract essential information on social media communication patterns among the users, we built conversation graphs using a directed multigraph network and we show our model at work in two real-life experiments. The first experiment used data from a real social media challenge and it was able to categorize 90% of comments with 98% accuracy. The second experiment focused on COVID vaccine-related discussions in online forums and investigated the stance and sentiment to understand how the comments are affected by their parent discussion. Finally, the most popular online discussion patterns were mined and interpreted. We see that the dynamics obtained from conversation graphs are similar to traditional communication activities.

Bringing Us Closer Together: The Influence of National Identity and Political Orientation on COVID-19-Related Behavioral Intentions.

A growing body of work has highlighted the importance of political beliefs and attitudes in predicting endorsement and engagement in prosocial behavior. Individuals with right-wing political orientation are less likely to behave prosocially than their left-wing counterparts due to high levels of Right-wing authoritarianism (RWA). Here, we aimed to extend prior work by testing how political values relate to COVID-19 discretionary behavioral intentions (i.e., prosocial and non-mandatory behaviors aimed at controlling the spread of the pandemic). Furthermore, we tested whether identification with the national group would influence the relationship between RWA and prosocial behavior. A cross-sectional study conducted on 350 Italian participants showed that right-wing political orientation had a negative effect on COVID-19 discretionary behavioral intentions via RWA. Furthermore, a moderated mediation model revealed that this effect was only significant for participants who are lowly identified with the national group. The results suggest that highlighting group belongingness might effectively motivate more conservative individuals to engage in prosocial behavior.

Trust predicts COVID-19 prescribed and discretionary behavioral intentions in 23 countries.

The worldwide spread of a new coronavirus (SARS-CoV-2) since December 2019 has posed a severe threat to individuals' well-being. While the world at large is waiting that the released vaccines immunize most citizens, public health experts suggest that, in the meantime, it is only through behavior change that the spread of COVID-19 can be controlled. Importantly, the required behaviors are aimed not only at safeguarding one's own health. Instead, individuals are asked to adapt their behaviors to protect the community at large. This raises the question of which social concerns and moral principles make people willing to do so. We considered in 23 countries (N = 6948) individuals' willingness to engage in prescribed and discretionary behaviors, as well as country-level and individual-level factors that might drive such behavioral intentions. Results from multilevel multiple regressions, with country as the nesting variable, showed that publicized number of infections were not significantly related to individual intentions to comply with the prescribed measures and intentions to engage in discretionary prosocial behaviors. Instead, psychological differences in terms of trust in government, citizens, and in particular toward science predicted individuals' behavioral intentions across countries. The more people endorsed moral principles of fairness and care (vs. loyalty and authority), the more they were inclined to report trust in science, which, in turn, statistically predicted prescribed and discretionary behavioral intentions. Results have implications for the type of intervention and public communication strategies that should be most effective to induce the behavioral changes that are needed to control the COVID-19 outbreak.

Running a Radiation Oncology Department at the Time of Coronavirus: An Italian Experience.

Starting from Wuhan, China, SARS-CoV-2 has been a catastrophic epidemic involving many countries worldwide. After China, Italy has been heavily affected, and severe measures to limit the spread of the virus have been taken in the last weeks. Radiation oncology departments must guarantee optimal cancer treatments even in such a challenging scenario of an ongoing aggressive epidemic. Adopted preventive measures and recommendations are highlighted for patients, professionals, and clinical operations to minimize the risk of infection while safely treating patients with cancer.

Running a Radiation Oncology Department at the Time of Coronavirus: An Italian Experience.

Starting from Wuhan, China, SARS-CoV-2 has been a catastrophic epidemic involving many countries worldwide. After China, Italy has been heavily affected, and severe measures to limit the spread of the virus have been taken in the last weeks. Radiation oncology departments must guarantee optimal cancer treatments even in such a challenging scenario of an ongoing aggressive epidemic. Adopted preventive measures and recommendations are highlighted for patients, professionals, and clinical operations to minimize the risk of infection while safely treating patients with cancer.