The highest number of confirmed coronavirus (COVID-19) cases in Sweden as of January 11, 2023 was in the region of Stockholm, with 618,037. The second highest number was in the region Västra Götaland, with a total of 454,551 confirmed cases.

As of January 13, 2023, the number of confirmed cases in the country had reached a total of 2,687,840. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

The dataset is part of a research study lead by associate professor Zeynep Cetecioglu Gurol and colleagues (KTH Royal Institute of Technology), is a collaboration between the SciLifeLab COVID-19 National Research Program and Chemical Engineering and Protein Science departments at KTH, in close collaboration with Stockholm Vatten och Avfall and the Käppala Association.The sampling of wastewater, started in mid-April 2020, from Bromma, Henriksdal, and Käppala wastewater treatment plants (WWTP). These treatment plants receive wastewater from a population of approximately 360,000; 860,000 and 500,000, respectively.After concentration, filtering, and preparation, the samples are analyzed using RT-qPCR technique for SARS CoV-2 RNA. Primers of the nucleocapsid (N) gene were used to detect the SARS-COV-2 gene (previously used and verified by Medema and colleagues (2020). In some cases, the raw wastewater has been frozen at –20 degrees, and concentrated wastewater or purified RNA have been stored at -80 C before the next analysis step was carried out. The concentration method used by prof. Zeynep Cetecioglu Gurol and her colleagues is based on their published study (Jafferali and colleagues, 2021). The gene copy nr / week is presented standardized for Bovine coronavirus (BCoV) and Pepper Mild Mottle Virus (PPMoV)For more information see https://www.covid19dataportal.se/data_types/environment/wastewater/ The dataset started week 16 2020 and updates weekly. The dataset is available as part of the Environmental Virus Profiling data section "The amount of SARS-CoV-2 virus in wastewater across Sweden" https://www.covid19dataportal.se/data_types/environment/wastewater/#stockholmon the Swedish COVID-19 Data Portal (https://covid19dataportal.se ).

The COVID-19 pandemic affected commuting patterns in Stockholm, Sweden, beyond the end of the pandemic. When comparing their commuting patterns before and after the pandemic, ********** of survey respondents to a ********* survey indicated that they commuted at least **** days per week, while this had fallen to just ** percent after the pandemic.

Abstract These data are collected from 1428 older adults aged 60 and above. The project is embedded in the ongoing Swedish National Study on Aging and Care in Kungsholmen (SNAC-K), a population-based study with regular health assessments since 2001. https://www.snac-k.se/The SNAC-K COVID-19 study aims to: 1) Estimate the short-term collateral damage on older adults’ health during the first months of the COVID-19 outbreak; 2) Detect the long-term collateral repercussions on older adults health up to two years after the first outbreak; 3) Identify the risk profiles for such collateral damage by integrating the ongoing interview with additional SNAC-K data and registries. The questionnaire explicitly focuses on the changes in the participants’ health and lives, i.e. collateral damage, since the onset of the pandemic (March 2020). Depending on the interview date, collateral damage is investigated in up to four different time periods: March 2020-June 2020, July 2020-September 2020, October 2020-December 2020, January 2021-present. The questionnaire is administered via telephone interviews conducted by trained SNAC-K personnel. As of April 2021, the first interview has been conducted with 1428 participants and a follow-up interview has been conducted with 105 of them. 934 follow-up interviews are scheduled to be conducted between April 2021 and August 2021 and an additional 167 by the end of 2021. Main Topics: Topics covered in the SNAC-K COVID-19 study include:• Demographics • Living arrangement • Health condition (general) - Health status - Care-seeking behaviors - Vaccination history • Health condition (COVID-19-related) - COVID-19 symptoms - COVID-19 testing & hospitalization - Protective measures against COVID-19 - Sources of information on COVID-19 • Mental health & cognition • Physical activity • Psychosocial factors • Formal & informal care Standard measures used in SNAC-K COVID-19 study• Three-item loneliness scale; Hughes, M. E., Waite, L. J., Hawkley, L. C., & Cacioppo, J. T. (2004). A Short Scale for Measuring Loneliness in Large Surveys: Results From Two Population-Based Studies. Research on Aging, 26(6), 655–672. • Montgomery Åsberg Depression Rating Scale (MADRS); Montgomery, S. A., & Asberg, M. (1979). A New Depression Scale Designed to be Sensitive to Change. Br J Psychiatry, 134, 382–389. Methodology Data collection period 06/05/2020 – ongoing Setting Kungsholmen, Stockholm, Sweden Study design Cross-sectional (1428) + longitudinal (105 conducted, 1101 planned) Analysis unit IndividualData collection mode Telephone interview Terms of Access For further information on the SNAC-K COVID-19 study, please contact Amaia Calderón-Larrañaga (amaia.calderon.larranaga@ki.se). To apply for the data, please contact Maria Wahlberg (maria.wahlberg@ki.se). General conditions for withdrawal of data from SNAC-K can be found at https://www.snac-k.se/for-researchers/application-form/FundingThis work was supported by the funders of the Swedish National study on Aging and Care (SNAC): the Ministry of Health and Social Affairs, Sweden; the participating county councils and municipalities; and the Swedish Research Council. A specific grant was obtained from the Swedish Research Council (2020-05931). Ethical review The study has been ethically approved by the Swedish Ethical Review Authority (dnr: 2020-02497)

As of January 11, 2023, the highest number of deaths due to the coronavirus in Sweden was among individuals aged 80 to 90 years old. In this age group there were 9,124 deaths as a result of the virus. The overall Swedish death toll was 22,645 as of January 11, 2023.

The first case of coronavirus (COVID-19) in Sweden was confirmed on February 4, 2020. The number of cases has since risen to over 2.68 million, as of January 2023. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Compared to 2019, the number of overnight stays at travel accommodation facilities in Stockholm went down by 55 percent in 2020. This was the highest drop in overnight tourism recorded in the five Swedish regions.

Data consists of 32 sermons, preached in communities in Stockholm, Göteborg and Malmö that belong to Lutheran Church of Sweden and Uniting Church in Sweden, in the beginning of the COVID-19 pandemic; i.e. Ascension Day and the Sunday before Pentecost 2020. The majority of the sermons (27) are transcriptions of digitally mediated, i.e. live streamed sermons or sermons that was prerecorded and published on a digital platform. Data also contain 5 sermon manuscripts for sermons that were deliveredin a local congregation only (not digitally mediated).

The sermons are categorized according to the following elements: If it was digitally or locally mediated (D or L), if it was delivered by a preacher from CofS or UC (SvK or Eq), whether it was held in Stockholm, Göteborg or Malmö (S, G or M), and a number. Accordingly, "DEqG2" stands for "Digitially mediated sermon from a Uniting Church preacher in Göteborg, Nr. 2".

Seroprevalence and infection fatality rate (IFR) estimates in New York City for five age classes, using confirmed COVID-19 deaths (excluding probable deaths).

Introduction: Frailty, a measure of biological aging, has been linked to worse COVID-19 outcomes. However, as the mortality differs across the COVID-19 waves, it is less clear whether a medical record-based electronic frailty index (eFI) that we have previously developed for older adults could be used for risk stratification in hospitalized COVID-19 patients. Objectives: The aim of the study was to examine the association of frailty with mortality, readmission, and length of stay in older COVID-19 patients and to compare the predictive accuracy of the eFI to other frailty and comorbidity measures. Methods: This was a retrospective cohort study using electronic health records (EHRs) from nine geriatric clinics in Stockholm, Sweden, comprising 3,980 COVID-19 patients (mean age 81.6 years) admitted between March 2020 and March 2022. Frailty was assessed using a 48-item eFI developed for Swedish geriatric patients, the Clinical Frailty Scale, and the Hospital Frailty Risk Score. Comorbidity was measured using the Charlson Comorbidity Index. We analyzed in-hospital mortality and 30-day readmission using logistic regression, 30-day and 6-month mortality using Cox regression, and the length of stay using linear regression. Predictive accuracy of the logistic regression and Cox models was evaluated by area under the receiver operating characteristic curve (AUC) and Harrell’s C-statistic, respectively. Results: Across the study period, the in-hospital mortality rate decreased from 13.9% in the first wave to 3.6% in the latest (Omicron) wave. Controlling for age and sex, a 10% increment in the eFI was significantly associated with higher risks of in-hospital mortality (odds ratio = 2.95; 95% confidence interval = 2.42–3.62), 30-day mortality (hazard ratio [HR] = 2.39; 2.08–2.74), 6-month mortality (HR = 2.29; 2.04–2.56), and a longer length of stay (β-coefficient = 2.00; 1.65–2.34) but not with 30-day readmission. The association between the eFI and in-hospital mortality remained robust across the waves, even after the vaccination rollout. Among all measures, the eFI had the best discrimination for in-hospital (AUC = 0.780), 30-day (Harrell’s C = 0.733), and 6-month mortality (Harrell’s C = 0.719). Conclusion: An eFI based on routinely collected EHRs can be applied in identifying high-risk older COVID-19 patients during the continuing pandemic.

General informationThis is a dataset record for the research paper "Modulation of innate immune response to mRNA vaccination after SARS-CoV-2 infection or sequential vaccination in humans" led by professor Karin Loré (Karolinska Institutet) and her research group.Author(s): Hellgren F, Rosdahl A, Arcoverde Cerveira R, Lenart K, Ols S, Gwon Y-D, Joas G, Kurt S, Delis A-M, Evander M, Normark J, Ahlm C, Forsell M, Cajander S, Loré KCorresponding author: Karin Loré, Division of Immunology and Allergy, Department of Medicine Solna, Karolinska Institutet, Visionsgatan 4, BioClinicum J7:30, Karolinska University Hospital, 171 64 Stockholm, Sweden.Contact e-mail: karin.lore@ki.seGithub code repo: https://github.com/rodrigarc/orebro_study/DOI: https://doi.org/10.1172/jci.insight.175401This readme file was last updated: 2024-04-22The dataset is available upon reasonable request through the corresponding author.### Cohort descriptionThe repository contains metadata for the 30 study participants recruited among health-care workers at the University hospital of Örebro, Sweden. At the start of the study, 14 individuals had a previous Covid-19 infection and 16 were infection naïve. Among the infection naïve group, 75% were female (12 out of 16 participants), with a mean age of 41 years, ranging from 25 to 66 years. In the group with previous Covid-19 infection, 71.4% were female (10 out of 14 participants), with a mean age of 44.6 years, spanning from 29 to 63 years. Study participants were sampled adjacent to each vaccine dose according to the schedule shown in Fig. 1A.For a more detailed overview of the baseline characteristics please see Table 1 attached in the manuscript.### Dataset descriptionAntibody titers measured by ELISA, Percentages of Immunophenotyping of studied cell subsets, and serum protein measurements were compiled into Excel sheets and fully anonymized. This data was provided as supplemental material with the original article. RNA-sequencing data: RNA-seq analysis of 99 samples was performed using Illumina sequencing. Preprocessing of FASTQ raw reads was done with the nf-core/rnaseq v3.8 pipeline, with results saved in TSV format. The human genome was appended with vaccine and SARS-CoV-2 related genes prior to read alignment using STAR and gene expression quantification with Salmon.Keywords: mRNA vaccines, innate immunity, Covid-19, coronavirus, vaccine

There is limited data on whether SARS-CoV-2 infections will result in increased long-term use of general healthcare, potentially impacting healthcare systems and management. Exploring this, we investigated the healthcare use of individuals with a SARS-CoV-2 infection in 2020 over a period of two years, using comprehensive medical records. We followed a cohort of 365,354 individuals in Stockholm, Sweden, who had been tested with SARS-CoV-2 serology in 2020, for healthcare use during 2021/22. SARS-CoV-2 seropositive and seronegative individuals were matched 1:1 on age, sex, 2019 healthcare use, and date of last serology, and compared on healthcare use during 2021/22 using registry linkages. Seropositive individuals were stratified on hospitalization for COVID-19 in 2020. Individuals were compared for total healthcare use, measured as incidence rate rations (IRR), and healthcare type usage-or-not per month, measured as a difference-in-differences regression. There were 272,918 seronegative and 73,814 seropositive subjects. Incidence rate ratios (IRRs) for primary healthcare use were 1.0, 1.16, and 0.98, for all, only hospitalized, and only non-hospitalized, seropositive individuals respectively. For outpatient specialist care IRRs were 0.96, 1.31, and 0.93. For inpatient care IRRs were 0.98, 1.19, and 0.95. Healthcare type usage-or-not per month showed no substantial differences, ranging from 0.01 to -0.01 in deviation. Increased healthcare use during follow-up was restricted to the seropositive individuals hospitalized for COVID-19 in 2020. There was no increase in healthcare use in the overall population from SARS-CoV-2 infections during 2020, suggesting there is no apparent need to adapt healthcare systems at scale for the COVID-19 aftermath.

The report contains data on protein levels obtained from dried blood spot (DBS) samples.The DBS originated from donors who provided self-sampling blood using a sampling kit (Capitainer AB). The studies were conducted in the general population in Stockholm and Gothenburg (Sweden) during the COVID-19 pandemic in the spring of 2020 and 2021:Levels of circulating antibodies were determined in the 2021 study by multi-analyte serology using the Luminex platform. Serology data from the 2020 studies have been deposited in a previous submission. All data sets have been processed and normalized using a linear model described in the publication of the previous submission.Levels of circulating proteins were determined by proximity extension assays using three Target96 panels from the Olink platform. The raw NPX data has been processed using AbsPQN, as described in the manuscript related to this submission.Other data is provided in the manuscript.Access to this individual-level human data can be granted for non-commercial validation purposes and upon reasonable request to the provided contact. A reasonable request should contain the following:Name of PI and host organizationContact detailsThe scientific purpose of the data access requestCommitment to inform when the data has been used in a publicationCommitment not to host or share the data outside the requesting organizationStatement of non-commercial use of data

The objective of the study was to test whether Rotational Thromboelastometry (ROTEM) indicate hypercoagulopathy at hospitalization of COVID-19 patients, and whether patients with severe disease have a more pronounced hypercoagulopathy compared with less severely ill patients.

The study was designed as a prospective observational study where COVID-19 positive patients over 18 years admitted to Capio St Göran’s Hospital in Stockholm, Sweden, were eligible for inclusion. Patients were divided into two groups depending on care level: 1) regular wards (40 patients) or 2) wards with specialized ventilation support (20 patients). ROTEM and other coagulation tests (see table for a list and explanation of variables) was taken after admission and the data were compared with ROTEM in healthy controls.

Conclusion ROTEM variables (EXTEM-MCF, FIBTEM-MCF, EXTEM-CT, EXTEM-CFT) were significantly different in COVID-19 patients early after admission compared with healthy controls. This pattern was more pronounced in patients with increased disease severity, suggesting that ROTEM-analysis could be a potentially useful predictor of thromboembolic complications and mortality in these patients.

For details, see publication at: https://doi.org/10.1007/s11239-020-02312-3

Data består av 32 predikningar, hållna i församlingar som tillhör Svenska kyrkan och Equmeniakyrkan och är belägna i Stockholm, Göteborg och Malmö, i Covid-19 pandemins inledning - närmare bestämt Kristi himmelsfärd och söndagen före pingst 2020. Majoriteten av predikningarna (27 st) är transkriberingar av digitalt förmedlade, dvs liveströmmade eller förinspelade och därefter publicerade på en digital plattform. Datasetet innehåller också 5 predikomanus från predikningar som enbart hållits i en lokal församling.

Predikningarna är kategoriserade efter om den är digitalt eller lokalt framförd (D/L), om den hölls av en predikant från en församling i Svenska kyrkan eller Equmeniakyrkan (SvK/Eq), om det var Stockholm, Göteborg eller Malmö (S, G eller M) samt en siffra. DEqG2 betyder alltså "Digital predikan från en Equmeniakyrkanförsamling i Göteborg, nr 2".

The number of passengers recorded at Stockholm Arlanda Airport have been considerably declined from March 2020 onwards, due to the coronavirus outbreak and the following flight cancellations. From June to September, the amount slightly grew again, reaching ******* international and about ******* domestic travelers.

These datasets are the result of two nation-wide surveys conducted in Italy and Sweden in August 2020 and in november 2020. The surveys (which are identical in the two rounds) explore the respondents' risk perception, preparedness, knowledge, and experience regarding a set of hazards, namely: epidemics, floods, droughts, earthquakes, wildfires, terror attacks, domestic violence, economic crises, and climate change.

The data files include the questionnaire survey (the Italian and Swedish versions as well as the English translation) and the two datasets of all the answers to the two surveys. Each column in the dataset refers to an item in the survey (e.g. a question or a sub-question), and each row represents a single respondent.

For additional information on the August 2020 dataset, see Mondino et al. (2020).

Results from Multivariate Analysis (MV) for COVID-19 related hospitalization in the groups with normal and low albumin levels.

The number of passengers on both domestic and international flights at Stockholm Arlanda Airport decreased in 2019 compared to the previous year. Moreover, this downturn was exacerbated by the coronavirus pandemic next year. In 2020, there were only *** million international and *** million domestic passengers. In the following years, passenger traffic started rebounding, amounting to ** million and nearly *** million domestic passengers in Stockholm Arlanda Airport in 2022.

Work ability after severe COVID-19.

Serology data (N=3981 HCWs) from the South Hospital in Stockholm with completed questionnaire about symptoms.