The aim of this article was to use an interpretivist approach to analyse the state–citizen nexus in general and the conflict between civil and social rights imposing restrictions on people’s freedom of movement during the COVID-19 pandemic in the Nordic countries: Sweden (restrictions were voluntary and relied on nudging and individual implementation), Norway (restrictions of movement were for everyone and was enforced by authorities), and Finland (restrictions of movement were for the capital region and was enforced by authorities). Sweden focused more on upholding the civil rights vis-à-vis social rights whereas in Norway and Finland social rights have trumped civil rights in the face of the pandemic. Thus, the analysis suggests that the Nordic countries cannot be understood as monoliths in all respects. The article thereby contributes to a greater understanding of how the Nordic governments prioritise civil and social rights differently when they are forced to choose.

Since the beginning of the 1980s the five Nordic countries: Denmark, Finland, Iceland, Norway and Sweden have gone through a process of decentralization. This process has taken place at a different pace and according to slightly varying decentralization models, but in all five of the countries the reduction in capacity of psychiatric hospitals has leveled out, whereas the establishing of decentralized treatment functions are not yet sufficiently developed. Furthermore, all five countries focus on rehabilitation of the most severe mentally ill. Examples of different models from the Nordic countries are mentioned.

IBM Finland, a small national subsidiary, was at once a Finnish business and an interface to much larger networks of technological innovation and knowledge sharing. We contextualize its development within a nested set of institutions and identities: IBM's Nordic operations, its European business, and its World Trade Corporation. Its development was profoundly shaped by Finland's unique geopolitical position during the Cold War. IBM's internal structures anticipated and paralleled those of the European Union, with mechanisms for international cooperation, for the creation of transnational identities, and for the resolution and regulation of disputes between national subsidiaries.

In search of a better understanding of inequalities in citizen political engagement, scholars have begun addressing the relationship between personal health and patterns of political behavior. This study focuses on the impact of personal health on various forms of political participation. The analysis contributes to existing knowledge by examining a number of different participation forms beyond just voting. Using European Social Survey data from 2012/2013 for Denmark, Finland, Iceland, Norway and Sweden ($N=8\text{,}060$), self-reported turnout and six alternative modes of political engagement were modeled as dependent variables. Contrary to expectations, poor health did not depress participation across all forms. As assumed by the increased activism hypothesis, all else equal, people with poor health were more active than their healthy counterparts in direct contacts with power holders and demonstrations. The results reveal a “reversed health gap” by showing that people with health problems are in fact more politically active than what previous research, which has focused on voting, has suggested. Although the magnitude of the gap should not be overdramatized, our results stress the importance of distinguishing between different forms of participation when analyzing the impact of health on political engagement. Nevertheless, the findings show that poor health can stimulate people into political engagement rather than depressing activity. This finding holds when the effects of several sociodemographic and motivational factors are controlled for.

The Caloplaca citrina group in the Nordic countries, except Iceland, is analysed with regard to morphology, anatomy, ecology, and chemistry. Their genetic relationship is also analysed using the ITS ribosomal DNA gene. The results show that there are at least five species within what has been called C. citrina, of which four are closely related to one another and to several non-sorediate species. Three of these, C. citrina, C. flavocitrina and C. arcis have previously been recognized at specific or varietal level some time during the last two centuries, whereas the fourth species, C. dichroa, is described as new. The fifth species, C. phlogina, is not related to the other species but shows a close relationship to the Xanthoria candelaria group. The species are described and illustrated in colour. Distribution maps are given for the study area and a key to sorediate, yellow to orange species occurring in the Nordic countries, except Iceland, is also provided.

In Denmark, Finland, Iceland, Norway and Sweden, 413 sow herds were randomly selected for sampling. Faeces from pigs of 7 age groups/categories were examined for helminth eggs (11233 individual samples), and an accompanying questionnaire was completed at each visit. In total, 1138 pigs on 230 farms were found to be positive for Ascaris suum. Considerable differences in the occurrence of A. suum could be observed directly for several of 20 independent variables at the herd or category level. However, given that univariate analyses may be severely affected by confounding of covariates resulting in spurious inference, additional multivariate analyses were undertaken. An ordinary logistic regression on Ascaris positive/negative farms showed that Denmark had the highest frequency of infected herds, while Iceland and Finland had the lowest frequencies and that herds using ‘late weaning’ and ‘Class 2’ drugs (pyrantel, levamisole) were most often infected. Because many herds were found to be totally negative for A. suum, mixed hierarchical logistic-normal regression models (both the penalized quasi-likelihood and the Markov Chain Monte Carlo methods) were developed for both a full (all herds) and a reduced (the 230 infected herds) data set using either a cut-off of >0 eggs per gram (epg) or >200 epg to counter for false-positive egg counts. Estimates for identical models, but where the animal level variance was constrained to the binomial assumption, were also calculated. Significant covariates were robust to model development with ‘Age group’, ‘Country’, ‘Weaning age’, ‘Water system’ and simple interactions between the latter two and ‘Age group’ being significantly associated with the occurrence of A. suum, while all variables concerning anthelmintic drug, anthelmintic strategy, floor type, bedding, dung removal, washing and disinfection were not. These findings are discussed in the light of the complex relationship between A. suum and its pig host.