Symptoms reported through the Swedish Healthcare Guide 1177 for disease surveillance and hospital predictions

Tove Fall, Jonas Björk, Ulf Hammar, Per Lundmark, and Georgios Varotsis

Disease surveillance is crucial during a pandemic because it allows informed decisions and evaluation of the effectiveness of implemented policies. Our study aims to develop new methods for real-time surveillance of respiratory virus spread and to predict surges in hospital admissions based on >4 million yearly calls to the Swedish Healthcare Guide 1177 phone-line, a largely untapped resource for syndromic surveillance. We have two main aims: Development of methods to estimate the daily infection prevalence at a local level 2020-2022 based on national health inquiry calls to Swedish Healthcare Guide 1177 phone-line linked to subsequent PCR and antibody test results using COVID-19 as a model.

Understanding social inequalities in Covid-19 testing behavior

Olof Östergren, Arizo Karimi, Emelie Counil, Jonas Björk, Tove Fall, and Karl Gauffin

Groups with lower socioeconomic status have suffered disproportionately from severe Covid-19. However, more cases were detected among individuals in higher socioeconomic positions. These seemingly conflicting observations are in part attributed to differences in testing behavior; individuals in lower socioeconomic positions in Sweden had lower testing rates and higher positivity rates compared to those in higher positions. The propensity to get tested can depend on several things. Some factors may motivate the individual to get tested while others can make the individual more likely to avoid taking a test.

Predictors of COVID-19 outcomes among residents of Swedish long-term care facilities—a nationwide study of the year 2020

Jenna Najar, Rasmus Broms, Marina Nistotskaya, and Carl Dahlström

What is the primary question addressed by this study? This study examines predictors for SARS-CoV-2 infection and COVID-19 death among residents of long-term care facilities (LTCFs), using Swedish nation-wide data for the whole pandemic year of 2020. What is the main finding of this study? We found that several factors were associated with SARS-CoV-2 infection and COVID-19 death. All-cause dementia was a particularly strong predictor of COVID-19 death, especially among those aged 65-75 years.

Sweden's COVID-19 Recession: How Foreign and Domestic Infections Struck against Firms and Workers

Anders Akerman, Karolina Ekholm, Torsten Persson, and Oskar N. Skans

The COVID-19 pandemic had massive contractionary effects on most economies across the globe. However, the economic effects varied tremendously both within and across countries. We use highly granular Swedish micro-data to document the economic effects of the COVID-19 pandemic on Swedish private-sector firms and their workers. The study shows that trading firms suffered larger output losses if they exported to, or imported from, countries with high COVID-rates and/or disruptive COVID restrictions.