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Human mobility and coronavirus disease 2019 (COVID-19): a negative binomial regression analysis

Objectives: This study aimed to examine the link between human mobility and the number of coronavirus disease 2019 (COVID-19)–infected people in countries. Study design: Our data set covers 144 countries for which complete data are available. To analyze the link between human mobility and COVID-19–infected people, our study focused on the volume of air travel, the number of airports, and the Schengen system. Methods: To analyze the variation in COVID-19–infected people in countries, we used negative binomial regression analysis.

Covid-19 and Crisis-Promted Distance Education in Sweden

This study represents the first research effort to explore the transition from traditional teaching into distance teaching in Swedish schools enforced by covid-19. Governments made gradual and injudicious decisions to impede the spread of the pandemic (covid-19) in 2020. The enactment of new measures affected critical societal functions and included travel restrictions, closing of borders, school closures and lockdowns of entire countries worldwide.

Refugees in Sweden During the Covid-19 Pandemic—The Need for a New Perspective on Health and Integration

Refugees are already a vulnerable group in society and are in a stressful situation due to their often uncertain legal status in seeking asylum and integration in the new society after migration. Refugees are, in general, at greater risk of poor health outcomes when contracting Covid-19, exacerbated by poor living conditions and difficulties in accessing healthcare. The longer-term social consequences of the pandemic also disproportionately impact refugees, including social isolation, unemployment, and difficulties to obtain correct health information.

Impacts of COVID-19 on public transport ridership in Sweden: Analysis of ticket validations, sales and passenger counts

The paper analyses the impacts of COVID-19 on daily public transport ridership in the three most populated regions of Sweden (Stockholm, Västra Götaland and Skåne) during spring 2020. The analysis breaks down the overall ridership with respect to ticket types, youths and seniors, and transport modes based on ticket validations, sales and passenger counts data. By utilizing disaggregate ticket validation data with consistent card ids we further investigate to what extent fewer people travelled, or each person travelled less, during the pandemic.

A population-based cohort study of socio-demographic risk factors for COVID-19 deaths in Sweden

As global deaths from COVID-19 continue to rise, the world’s governments, institutions, and agencies are still working toward an understanding of who is most at risk of death. In this study, data on all recorded COVID-19 deaths in Sweden up to May 7, 2020 are linked to high-quality and accurate individual-level background data from administrative registers of the total population.

Trading health for wealth: The effect of COVID-19 response stringency

International governments’ COVID-19 responses must balance human and economic health. Beyond slowing viral transmission, strict lockdowns have severe economic consequences. This work investigated response stringency, quantified by the Oxford COVID-19 Government Response Tracker’s Stringency Index, and examined how restrictive interventions affected infection rates and gross domestic product (GDP) in China and OECD countries. Accounting for response timing, China imposed the most stringent restrictions, while Sweden and Japan were the least stringent.

The unwanted free rider: Covid-19

Winter holidays in the European Alps early 2020 led to unexpected challenges for the Scandinavian countries (Denmark, Norway and Sweden), since many travellers brought home a free rider virus, Covid-19. In this study a modified gravity model is used to investigate how important destination country, size and geographical distance are for the extent to which the virus was carried to Scandinavia. The number of reported Covid-19 positive cases is highest from Austria (1150 individuals), Italy (68) and Spain (90).