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BackgroundEarly in the COVID-19 pandemic, it became apparent that members of marginalized populations and immigrants were also at risk of being hospitalized and dying more frequently from COVID-19. To examine how the pandemic affected underserved and marginalized populations, we analyzed data on changes in the number of deaths among people with and without Swiss citizenship during the first and second SARS-CoV-2 waves.MethodWe analyzed the annual number of deaths from the Swiss Federal Statistical Office from 2015 to 2020, and weekly data from January 2020 to May 2021 on deaths of permanent residents with and without Swiss citizenship, and we differentiated the data through subdivision into age groups.ResultsPeople without Swiss citizenship show a higher increase in the number of deaths in 2020 than those who were Swiss citizens. The increase in deaths compared to the previous year was almost twice as high for people without Swiss citizenship (21.8%) as for those with it (11.4%). The breakdown by age group indicates that among people between the ages of 64 and 75, those without Swiss citizenship exhibited an increase in mortality (21.6%) that was four times higher than that for people with Swiss citizenship (4.7%).ConclusionThis study confirms that a highly specialized health care system, as is found in Switzerland, does not sufficiently guarantee that all parts of the population will be equally protected in a health crisis such as COVID-19.

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In addition to serving as an introduction to the subject, this paper suggests a conceptual framework for the investigation of issues of classification and quantification related to migration and the ethnically and religiously diverse societies in Europe. Nationality, ethnicity and religion are situational, contextual and dynamic social phenomena which tend to defy rigid classification, making it especially difficult to capture and quantify these entities in order to organize and represent them in an intelligible manner in official statistics (e.g. censuses), institutional governing practices or in academic survey research. By drawing on previous work by demographers and social researchers, we suggest a typological classification of ways in which diverse populations become statistically visible or invisible. We show that the rationale for creating classifications and particular sets of categories changes, depending on the political field in which data are used in the governance of populations and migration. A science studies perspective can make these diverse taxonomies the object of studies to understand how they are embedded within, and how they sustain, power relations. By focusing on practices of classification as instruments of research and governance, this special issue contributes to a reflection on the conditions and effects of quantifying practices in culturally diverse and constantly changing societies, in which the line between government and academia, between power and knowledge, is frequently indistinct.