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Introduction: A new national survey has been carried out by the Italian Centers for Cognitive Disorders and Dementias (CCDDs). The aim of this new national survey is to provide a comprehensive description of the characteristics, organizational aspects of the CCDDs, and experiences during the COVID-19 pandemic. Methods: A list of all national CCDDs was requested from the delegates of each Italian region. The online questionnaire is divided in two main sections: a profile section, containing information on location and accessibility, and a data collection form covering organization, services, treatments, activities, and any service interruptions caused by the COVID-19 outbreak. Results: In total, 511 out of 534 (96%) facilities completed the profile section, while 450 out of 534 (84%) CCDDs also completed the data collection form. Almost half of the CCDDs (55.1%) operated for 3 or fewer days a week. About one-third of the facilities had at least two professional figures among neurologists, geriatricians and psychiatrists. In 2020, only a third of facilities were open all the time, but in 2021, two-thirds of the facilities were open. Conclusion: This paper provides an update on the current status of CCDDs in Italy, which still shows considerable heterogeneity. The survey revealed a modest improvement in the functioning of CCDDs, although substantial efforts are still required to ensure the diagnosis and care of patients with dementia. [ABSTRACT FROM AUTHOR]

Aim: The goal of this paper is to analyze the COVID-19 policies of 10 European countries, including Sweden, Finland, Norway, Italy, France, Germany, Poland, Belgium, the Netherlands, and Hungary, with a time-series policy analysis tool. Subject and methods: The results of the COVID-19 policy analysis are based on a single time-series indicator, or daily population mortality rate: the number of COVID-19 daily cumulative deaths divided by the population in millions. The lower the score, the better the policy. Although many experts believe that the COVID-19 policy outcome analysis is premature, time series analysis is an excellent analysis that can provide information on the progress and transition of policy outcomes. In other words, the proposed time series analysis tool allows policymakers to identify and quantify when mistakes were made during the on-going COVID-19 pandemic. Results: The COVID-19 policy analysis discovered many useful facts. Sweden failed due to the herd immunity approach. Hungary made a fundamental mistake in COVID-19 tactics. Countries such as Sweden, Hungary, Belgium, and Poland showed time-series changes that differed from the others. Conclusion: Public health interventions can play a key role in mitigating the COVID-19 pandemic. The proposed policy analysis tool, hiscovid demonstrated the effectiveness of the time-series score behavior for discovering when policymakers made mistakes. [ABSTRACT FROM AUTHOR]

Background: The efficacy of public measures for reducing the transmission of the COVID-19 infection relies on citizens' voluntary adherence with prescribed actions. Drawing on prior literature about compliant behavior, this study aimed to identify factors associated with people engagement in health-protective behaviors by including a conjoint complement of instrumental/self-oriented, normative/community-based, and affective variables. Method: A cross-sectional study involving a non-representative sample of 4045 Italian citizens was carried out during the first stage of the pandemic (April–May 2020). Variables associated with health-protective behaviors were perceived personal and societal concerns and perceived effectiveness of the institutional response to the outbreak (instrumental dimensions), and family and friends perceived norms and sense of community responsibility (normative dimensions). Two negative emotions (anxiety and fear) were included as mediators between personal and societal concerns and outcome behaviors. Results: Results showed the importance of both self-interest and community-based factors. Indeed, self-interest concerns, family perceived norms, and sense of community responsibility were significant predictors of people's decisions to engage in health-protective behaviors. Conclusions: The research findings show that compliance with public health prescriptions is a multimodal phenomenon and integrating self-interest and community-based factors can offer a better understanding of people's decision to engage in health-protective behaviors. Further, this study unveils that a shared sense of community is effective in encouraging adherence to recommended behaviors so as behavioral changes can be sustained by targeting the recommendations not only on risk minimization for oneself but also on the allocation of personal responsibility toward the belonging community. [ABSTRACT FROM AUTHOR]

The response to the COVID-19 epidemic requires people to undertake actions such as mask-wearing or vaccination that also confer benefits to the whole community, and therefore, are akin to public good contributions. This is the case also for participation to the mass testing that took place between November 18th and 25th, 2020 in the South Tyrol region of Italy, where 361,781 out of 500,607 (72.3%) eligible residents volunteered to take a COVID-19 rapid antigen test. We examine the community characteristics that are associated with higher testing rates. Our findings point to a number of key community determinants of people's willingness to volunteer. Convenience and social capital were important factors. Beyond that, socioeconomic status and religiosity were also both positively related to greater testing, while childhood vaccinations refusal rates show a negative relationship. [ABSTRACT FROM AUTHOR]