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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]

This paper seeks to contribute to a more nuanced discourse on vaccination policy. Current polarization between either mandatory and entirely voluntary is misleading, as virtually all immunization programs feature a combination of instruments that comprise mandatory and voluntary elements. We develop this argument by presenting five case studies from the European Union (EU). By systematically acknowledging the nuances of political and institutional varieties, we build the case for reframing the terms of the debate in the EU and beyond. [ABSTRACT FROM AUTHOR]

BACKGROUND: Several studies have been performed on the relationship between working conditions and health. Numerous parameters still require further study, including working hours and obesity among different groups, specifically older workers in national, regional, and international levels. OBJECTIVE: Working hours have considerable effects on the socio-cultural, psychological, and economic aspects of people's lives and health. While long working hours increases income level and raises living standards, it increases the risk of certain health problems. This study investigated whether working hours are associated with obesity in upper-middle-aged workers. METHODS: The Survey of Health, Ageing and Retirement in Europe (SHARE) dataset was used for the analyses. Analyses were carried out by means of a Cox regression of the panel dataset created with the data in question, surveyed by European Commission to 12,000 participants. RESULTS: The survey was performed in Austria, Belgium, Switzerland, Germany, Denmark, Spain, France, Greece, Italy, the Netherlands, Sweden, the Czech Republic, Poland, and Ireland. We found that in most countries, especially Sweden and the Netherlands, upper-middle-aged employees working > 59 hours per week are more likely to gain weight than their counterparts working < 59 hours. CONCLUSIONS: Our findings raise awareness of obesity in older workers, and highlight the need to regulate working conditions and hours in the European Union and other countries. [ABSTRACT FROM AUTHOR]

Background: Various actions have been taken during the last decade to increase the number of organs from deceased donors available for transplantation in Switzerland. This study provides an overview on key figures of the Swiss deceased organ donation and transplant activity between 2008 and 2017. In addition, it puts the evolution of the Swiss donation program's efficiency in relation to the situation in the neighboring countries.Methods: This study is an analysis of prospective registry data, covering the period from 1 January 2008 to 31 December 2017. It includes all actual deceased organ donors (ADD) in Switzerland. Donor data were extracted from the Swiss Organ Allocation System. The "donor conversion index" (DCI) methodology and data was used for the comparison of donation program efficiency in Switzerland, Germany, Austria, Italy and France.Results: During the study period there were 1116 ADD in Switzerland. The number of ADD per year increased from 91 in 2008 to 145 in 2017 (+ 59%). The reintroduction of the donation after cardiocirculatory death (DCD) program in 2011 resulted in the growth of annual percentages of DCD donors, reaching a maximum of 27% in 2017. The total number of organs transplanted from ADD was 3763 (3.4 ± 1.5 transplants per donor on average). Of these, 48% were kidneys (n = 1814), 24% livers (n = 903), 12% lungs (n = 445), 9% hearts (n = 352) and 7% pancreata or pancreatic islets (n = 249). The donation program efficiency assessment showed an increase of the Swiss DCI from 1.6% in 2008 to 2.7% in 2017 (+ 69%). The most prominent efficiency growth was observed between 2012 and 2017. Even though Swiss donation efficiency increased during the study period, it remained below the DCI of the French and Austrian donation programs.Conclusion: Swiss donation activity and efficiency grew during the last decade. The increased donation efficiency suggests that measures implemented so far were effective. The lower efficiency of the Swiss donation program, compared to the French and Austrian programs, may likely be explained by the lower consent rate in Switzerland. This issue should be addressed in order to achieve the goal of more organs available for transplantation. [ABSTRACT FROM AUTHOR]