Vaccination against SARS-CoV-2 will likely be the most promising way to combat the pandemic. Even if mass vaccination is urgent, it should still always be supported by appropriate patient safety management. The aim of this study, based on failure mode, effects and criticality analysis (FMECA), was to identify possible failures and highlight measures that can be adopted to prevent their occurrence. A team of resident doctors in public health from the University of Padua and specialists in risk analysis in public health examined the mass vaccination process. A diagram was drafted to illustrate the various phases of mass vaccination, analyze the process, and identify all failure modes. Criticalities were ascertained by rating the severity, frequency and likelihood of failure detection on a scale of 1 to 10. We identified a total of 71 possible faults distributed over the various phases of the process, and 34 of them were classified as carrying a high risk. For the potentially high-risk failure modes, we identified 63 recommended actions to contain the cause of their occurrence or improve their detection. For the purpose of detecting potential failures, FMECA can be successfully applied to mass vaccination, which should be considered a high-risk process.

Background Stress and negative emotions may impact on appetite, inducing some individuals to eat less and others to eat more. This behavior has been implicated in the onset of bodyweight problems and eating disorders in childhood. The aim of our study is to evaluate factors potentially associated with emotional eating in children. Methods The present cross-sectional study derives from a survey conducted in 2021 on 8–9 years old children attending 11 primary schools. A questionnaire was administered that contained multiple-choice items relating to the children and their mothers, and touching on all the factors thought to be associated with emotional eating as behavioral traits or adherence to Mediterranean diet. A multivariable logistic regression was performed to test the association. Results Emotional undereating was positively associated with emotional symptoms (OR 1.72; 95% CI 1.11–2.67); emotional overeating was positively associated with both emotional symptoms (OR 2.01; 95% CI 1.29–3.13) and hyperactivity (OR 2.80; 95% CI 1.59–4.92), and inversely associated with peer problems (OR 0.50; 95% CI 0.25–0.99). Emotional undereating was also positively associated with the number of siblings (OR 1.50; 95% CI 1.03–2.18), and inversely associated with a good adherence to the Mediterranean diet (OR 0.25; 95% CI 0.08–0.84). Conclusions The study found children’s emotional eating associated with both dietary patterns and behavioral traits (in particular emotional symptoms, hyperactivity and peer problems). It could be useful to improve parents’ awareness so that they can anticipate and pay more attention to this issue. Adherence to the Mediterranean diet should also be reinforced, by means of health promotion interventions at school, for example.

During the COVID-19 pandemic, many countries adopted various non-pharmacological interventions to contain the number of infections. The most often used policy was school closures. We describe the strategy adopted by the Veneto Regional Authority to contain transmission in school settings. This included a detailed school surveillance system, strict contact tracing, and maintaining school attendance with self-monitoring for symptoms whenever possible. All analyzed COVID-19 cases among children, adolescents (0–19 years old), and school staff were registered using a web-based application between 4 January 2021 and 13 June 2021. During the study period, 6272 episodes of infection in schools were identified; 87% were linked to a student index case and 13% to school staff; 69% generated no secondary cases; 24% generated one or two; and only 7% caused more than two. Our data may help to clarify the role of school closures, providing useful input for decisions in the months to come. Good practice in public health management needs tools that provide a real-time interpretation of phenomena like COVID-19 outbreaks. The proposed measures should be easy to adopt and accessible to policymakers.