Social science and humanities data

Published Data

General useful data sources

Consortium of European Social Science Data Archives (CESSDA) provides large-scale, integrates, and sustainable data services targetted at social science work. They bring together arcgives of social science data from across Europe. They promote social science findings, and support research and coorperation at both national and international levels.
BY-COVID resource filtering CESSDA resources.

Data available on the European COVID-19 Data Portal

Social science and humanities data from the CESSDA catalogue

Data available from research groups in Sweden

The list of available data on this Portal was curated manually until February 2022. After February 2022, we instead began to use a script to query the Europe PMC database (making use of their API) in order to locate relevant publications. We only include data from publications about COVID-19/SARS-CoV-2 that BOTH involve at least one author affiliated with a Swedish research institution AND openly share reusable data and/or code. The code used for the query is written in Python and, as with all of our code, it is openly available in GitHub. We welcome others to reuse it and to repurpose it for other pathogens.

The lists of available data may not be exhaustive as the script used to generate it does not search for every possible database/repository. If you find that a dataset is missing, or that the information related to it is incorrect, please get in touch with us

Last updated: 2024-03-04

Data types

All data types (273)

Biochemistry data (34)

Drug discovery data (15)

Genomics & transcriptomics data (82)

Public health data (65)

Serology data (21)

Social science and humanities data (62)

Publication	Available dataset and code
Changes in social norms during the early stages of the COVID-19 pandemic across 43 countries Andrighetto G., Szekely A., Guido A., Gelfand M., et al (2024) Springer Science and Business Media LLC DOI: 10.1038/s41467-024-44999-5	Data exploring the tightness-looseness of communities, alongside demographic and COVID-19 data. Data primarily at country level. data Open Science Framework: stkfr Analysis code exploring the tightness-looseness of communities during COVID-19 (R script). code Open Science Framework: stkfr
Assessing the effects of pandemic risk on cooperation and social norms using a before-after Covid-19 comparison in two long-term experiments Vriens E., Szekely A., Lipari F., Antonioni A., et al (2024) Springer Science and Business Media LLC DOI: 10.1038/s41598-024-53427-z	Data exploring how social norms were affected during two waves of the COVID-19 pandemic. Data available for the same population in 2 waves. data Open Science Framework: xb8a7
Evidence of COVID-19 fatalities in Swedish neighborhoods from a full population study Wixe S., Lobo J., Mellander C., Bettencourt L. M. A. (2024) Springer Science and Business Media LLC DOI: 10.1038/s41598-024-52988-3	Anonymised register data, specifically microdata on individuals or enterprises. Available after approvals from SCB. data GitHub Anonymised register data from Sweden. Available after ethical approvals from Socialstyrelsen. data GitHub
Assessing sickness behavior in the French: Validation of the French translation of the sickness questionnaire (SicknessQ) in a non-clinical French population Andreasson A., Tognetti A., Jones M., Lekander M., et al (2023) Elsevier BV DOI: 10.1016/j.bbih.2023.100708	Results of the Sickness Questionnaire (SicknessQ) in France, assessing symptoms of sickness behavior, including somatic, behavioral, and affective dimensions. data OSF HOME
Reducing intrusive memories after trauma via an imagery-competing task intervention in COVID-19 intensive care staff: a randomised controlled trial Iyadurai L., Highfield J., Kanstrup M., Markham A., et al (2023) Springer Science and Business Media LLC DOI: 10.1038/s41398-023-02578-0	Anonymised data, dictionary, analytical code, study protocol and frequentist statistical analysis plan data Open Science Framework Anonymised data, dictionary, analytical code, study protocol and frequentist statistical analysis plan code Open Science Framework
Regional differences in personalities account for substantial heterogeneity of loneliness change from before to during the COVID-19 Xiao S., Dang J. (2023) Frontiers Media SA DOI: 10.3389/fpsyg.2023.1124627	Data used in analysis assessing personality traits data OSF: d99ed5ce0ed641ca80965e54c11afc81 Script for data re-analysis of traits code OSF: d99ed5ce0ed641ca80965e54c11afc81
How Have Physical Activity and Sedentary Behavior, Changed during the COVID-19 Pandemic? A Swedish Repeated Cross-Sectional Design Study Lindberg D., Elvén M., Nilsson K. W., Von Heideken Wågert P., et al (2023) MDPI AG DOI: 10.3390/ijerph20043642	Questionaire data on levels of physical activity and sedentary behaviour data Figshare
Visiting Urban Green Space and Orientation to Nature Is Associated with Better Wellbeing during COVID-19 Lin B. B., Chang C., Andersson E., Astell-Burt T., et al (2023) MDPI AG DOI: 10.3390/ijerph20043559	Codes for analysis code Figshare
The Psychological Science Accelerator’s COVID-19 rapid-response dataset Buchanan E. M., Lewis S. C., Paris B., Forscher P. S., et al (2023) Springer Science and Business Media LLC DOI: 10.1038/s41597-022-01811-7	Data used in the Shiny app for The Psychological Science Accelerator's COVID-19 Rapid-Response Project data Open Science Framework Code for the Shiny app for The Psychological Science Accelerator's COVID-19 Rapid-Response Project code Open Science Framework
COVID-19 infection does not seem to affect cognition in college students Francis G., Thunell E. (2023) Elsevier BV DOI: 10.1016/j.concog.2023.103464	Students survey data on COVID-19 status data OSF
Financial incentives for vaccination do not have negative unintended consequences Schneider F. H., Campos-Mercade P., Meier S., Pope D., et al (2023) Springer Science and Business Media LLC DOI: 10.1038/s41586-022-05512-4	Randomised controlled trial data from Sweden and United States for COVID-19 first dose vaccination data Zenodo Analyses were conducted using STATA 16, the code to replicate the analysis is in the article code Zenodo
Familydemic Cross Country and Gender Dataset on work and family outcomes during COVID-19 pandemic Kurowska A., Barardehi I. H., Fuller S., Petts R. J., et al (2023) Springer Science and Business Media LLC DOI: 10.1038/s41597-022-01880-8	Familydemic survey data related to the work and family nexus data OSF
Preparing medical first responders for crises: a systematic literature review of disaster training programs and their effectiveness Baetzner A. S., Wespi R., Hill Y., Gyllencreutz L., et al (2022) Springer Science and Business Media LLC DOI: 10.1186/s13049-022-01056-8	Literature review data realted to disaster training programs for medical first responders. data
Perceived Corona virus exposure as a function of interpersonal distance and time of a conversation Svenson O. (2022) Springer Science and Business Media LLC DOI: 10.1007/s44155-022-00027-9	Results of a Qualatrics questionnaire related to perceived risk of viral infection with different social distances. data FigShare
The influence of COVID-19 risk perception and vaccination status on the number of social contacts across Europe: insights from the CoMix study Wambua J., Loedy N., Jarvis C. I., Wong K. L., et al (2022) Cold Spring Harbor Laboratory DOI: 10.1101/2022.11.25.22282676	Results of a multi-country longitudinal social contact survey exploring the influence of COVID-19 vaccination status and risk perceptions related to SARS-CoV-2 on social contact. data Zenodo
Impact of the COVID-19 pandemic on early career dementia researchers: A global online survey Bartels S. L., Shaaban C. E., Brum W. S., Welikovitch L. A., et al (2022) Public Library of Science (PLoS) DOI: 10.1371/journal.pone.0277470	Survey data from 321 early career dementia researchers, including relevant socialdemographic characteristics data Open Science Framework
Acute anxiety during the COVID-19 pandemic was associated with higher levels of everyday altruism Vieira J. B., Pierzchajlo S., Jangard S., Marsh A. A., et al (2022) Springer Science and Business Media LLC DOI: 10.1038/s41598-022-23415-2	All survey data and study material used in this project data Open Science Framework code Open Science Framework: Code used for analysis
Family still matters: Human social motivation across 42 countries during a global pandemic Pick C. M., Ko A., Wormley A. S., Wiezel A., et al (2022) Elsevier BV DOI: 10.1016/j.evolhumbehav.2022.09.003	Data related to social motivation data OSF
Development and cross-national investigation of a model explaining participation in WHO-recommended and placebo behaviours to prevent COVID-19 infection Kłosowska J., Bajcar E. A., Bieniek H., Brączyk J., et al (2022) Springer Science and Business Media LLC DOI: 10.1038/s41598-022-17303-y	Processed and anonymised demographic and health data. data OSF
Treating intrusive memories after trauma in healthcare workers: a Bayesian adaptive randomised trial developing an imagery-competing task intervention Ramineni V., Millroth P., Iyadurai L., Jaki T., et al (2022) Cold Spring Harbor Laboratory DOI: 10.1101/2022.10.06.22280777	Anonymised databases with the individual participant data and the metadata for Bayesian analyses. data OSF Code used for data analysis. code OSF
Collectivism reduces objective mobility trends to public areas during the COVID-19 pandemic Dang J., Xiao S. (2022) Frontiers Media SA DOI: 10.3389/fpubh.2022.996036	Data for collectivism and mobility data OSF
The effect of herd immunity thresholds on willingness to vaccinate Andersson P. A., Tinghög G., Västfjäll D. (2022) Springer Science and Business Media LLC DOI: 10.1057/s41599-022-01257-7	Data related to herd immunity, willingness to get vaccinated, and demographic factors. data Open Science Framework
Agile software development one year into the COVID-19 pandemic Ågren P., Knoph E., Berntsson Svensson R. (2022) Springer Science and Business Media LLC DOI: 10.1007/s10664-022-10176-9	R code for Bayesian analysis code Zenodo
Dataset: COVID-19 epidemic policy and events timeline (Sweden) Olofsson T., Vilhelmsson A. (2022) Elsevier BV DOI: 10.1016/j.dib.2021.107698	Chronological data on Swedish Governmental COVID-19 policy/actions protocol Zenodo
Epidemic risk perceptions in Italy and Sweden driven by authority responses to COVID-19 Raffetti E., Mondino E., Di Baldassarre G. (2022) Springer Science and Business Media LLC DOI: 10.1038/s41598-022-13218-w	A comparative dataset on public perceptions of multiple risks during the COVID-19 pandemic in Italy and Sweden. data Zenodo Code for processing and visualisations code GitHub
Impact of Long COVID on health and quality of life O’ Mahony L., Buwalda T., Blair M., Forde B., et al (2022) F1000 Research Ltd DOI: 10.12688/hrbopenres.13516.1	Long COVID Survey Data data FigShare Long COVID Survey questionnaire data FigShare
Meteorological factors and non-pharmaceutical interventions explain local differences in the spread of SARS-CoV-2 in Austria Ledebur K., Kaleta M., Chen J., Lindner S. D., et al (2022) Public Library of Science (PLoS) DOI: 10.1371/journal.pcbi.1009973	Data time series of metereological factors, regional measures and mobility data Zenodo Scripts for the model code GitHub
The required size of cluster randomized trials of nonpharmaceutical interventions in epidemic settings Sheen J. K., Haushofer J., Metcalf C. J. E., Kennedy‐Shaffer L. (2022) Wiley DOI: 10.1002/sim.9365	Code and simulated data code GitHub
Changes in Physical Activity and Sedentary Behavior before and during the COVID-19 Pandemic: A Swedish Population Study Elvén M., Kerstis B., Stier J., Hellström C., et al (2022) MDPI AG DOI: 10.3390/ijerph19052558	Dataset including variables of physical activity and sedentary behavior during the COVID-19 pandemic data FigShare
Swedish nationwide time series analysis of influenza and suicide deaths from 1910 to 1978 Rück C., Mataix-Cols D., Malki K., Adler M., et al (2022) BMJ DOI: 10.1136/bmjopen-2021-049302	Numbers of deaths by influenza and suicide and total population for 1910-1978 data
COVID-19 collateral damage—psychological burden and behavioural changes among older adults during the first outbreak in Stockholm, Sweden: a cross-sectional study Beridze G., Triolo F., Grande G., Fratiglioni L., et al (2022) BMJ DOI: 10.1136/bmjopen-2021-058422	Data are from the SNAC-K Project, a population-based study on ageing and dementia. Need approval for access. data
Public perceptions of multiple risks during the COVID-19 pandemic in Italy and Sweden Mondino E., Di Baldassarre G., Mård J., Ridolfi E., et al (2021) Springer Science and Business Media LLC DOI: 10.1038/s41597-020-00778-7	Raw dataset: perceived likelihoods and impacts, individual and authorities’ preparedness and knowledge, socio-demographic characteristics in August 2020 (N=2,033 in Italy, N=2,121 in Sweden) data Zenodo Code for reading, processing and graphically representing the data code GitHub
A Longitudinal Study of Gambling Behaviors During the COVID-19 Pandemic in Sweden Månsson V., Wall H., Berman A. H., Jayaram-Lindström N., et al (2021) Frontiers Media SA DOI: 10.3389/fpsyg.2021.708037	R-code used for data analyses. code GitHub Data cannot be made publicly available, but access can be requested for data with some personal details removed. data
Changes in Physical Activity Are Associated with Corresponding Changes in Psychological Well-Being: A Pandemic Case Study Dahlen M., Thorbjørnsen H., Sjåstad H., von Heideken Wågert P., et al (2021) MDPI AG DOI: 10.3390/ijerph182010680	Raw data on physical activity and psychological well-being. data Open Science Framework
Priority setting and equity in COVID-19 pandemic plans: a comparative analysis of 18 African countries Kapiriri L., Kiwanuka S., Biemba G., Velez C., et al (2021) Oxford University Press (OUP) DOI: 10.1093/heapol/czab113	All data are available in the article, or in sources therein (e.g. information on healthcare and political systems). data
Effects of the COVID-19 Health Crisis on Sports Practice, Life Quality, and Emotional Status in Spanish High-Performance Athletes Conde E., Martínez-Aranda L. M., Sanz G., López de Subijana C., et al (2021) Frontiers Media SA DOI: 10.3389/fpsyg.2021.736499	Descriptive data on subjects included in the study, particularly focussed on the reasons behind limitations in ability to train. data
Increased Risks of Death and Hospitalization in Influenza/Pneumonia and Sepsis for Individuals Affected by Psychotic Disorders, Bipolar Disorders, and Single Manic Episodes: A Retrospective Cross-Sectional Study Nilsson N., Bendix M., Öhlund L., Widerström M., et al (2021) MDPI AG DOI: 10.3390/jcm10194411	Data on influenza/pneumonia deaths & hospitalisations due to sepsis, subdivided by mental health condition, physical comorbidities, and demographic features. data
Fear and anxiety in the face of COVID-19: Negative dispositions towards risk and uncertainty as vulnerability factors Millroth P., Frey R. (2021) Elsevier BV DOI: 10.1016/j.janxdis.2021.102454	Methods used and survey results on factors related to mental health issues related to COVID-19 data Open Science Framework
Measuring changes in alcohol use in Finland and Norway during the COVID‐19 pandemic: Comparison between data sources Mäkelä P., Rossow I., Moan I. S., Bye E. K., et al (2021) Wiley DOI: 10.1002/mpr.1892	Database with codebook for the European Alcohol Use and COVID-19 Survey data Figshare
The impact of a COVID-19 lockdown on work productivity under good and poor compliance Ohrnberger J., Segal A. B., Forchini G., Miraldo M., et al (2021) Oxford University Press (OUP) DOI: 10.1093/eurpub/ckab138	The code of the individual-based epidemiological model. code GitHub The raw data from the Quarterly Labour Force Survey October to December 2019 used for the labour force model. data GitHub
Correlates of intended COVID-19 vaccine acceptance across time and countries: results from a series of cross-sectional surveys Kerr J. R., Schneider C. R., Recchia G., Dryhurst S., et al (2021) BMJ DOI: 10.1136/bmjopen-2020-048025	Data on vaccine acceptance and code for analysis data code Open Science Framework Image data, the image analysis pipelines, and extracted features data Figshare Code for analysis code GitHub
A multi-country test of brief reappraisal interventions on emotions during the COVID-19 pandemic Wang K., Goldenberg A., Dorison C. A., Miller J. K., et al (2021) Springer Science and Business Media LLC DOI: 10.1038/s41562-021-01173-x	Data (raw and processed) and analysis code related to emotion-regulation strategy testing data code Open Science Framework
Impact of tiered restrictions on human activities and the epidemiology of the second wave of COVID-19 in Italy Manica M., Guzzetta G., Riccardo F., Valenti A., et al (2021) Nature Communications DOI: https://doi.org/10.1038/s41467-021-24832-z	Data from different provinces and analysis code data code Figshare
COVID-19 vaccine acceptance and hesitancy in low- and middle-income countries Solís Arce J. S., Warren S. S., Meriggi N. F., Scacco A., et al (2021) Springer Science and Business Media LLC DOI: 10.1038/s41591-021-01454-y	Deidentified participant data, analysis code and replication files data code GitHub Analysis code and replication exercise code GitHub
Perceived changes in capability during the COVID-19 pandemic: A Swedish cross-sectional study from June 2020 Meili K. W., Jonsson H., Lindholm L., Månsdotter A. (2021) SAGE Publications DOI: 10.1177/14034948211023633	Perceived changes in capability during the COVID-19 pandemic (includes data on socioeconomic position, place of birth and regional residence) data
Public acceptance of COVID-19 vaccines: cross-national evidence on levels and individual-level predictors using observational data Lindholt M. F., Jørgensen F., Bor A., Petersen M. B. (2021) BMJ DOI: 10.1136/bmjopen-2020-048172	Vaccine acceptance in Denmark, France, Germany, Hungary, Sweden, Italy, UK and USA; September 2020 to February 2021. data Open Science Framework
Using a household-structured branching process to analyse contact tracing in the SARS-CoV-2 pandemic Fyles M., Fearon E., Overton C., Wingfield T., et al (2021) The Royal Society DOI: 10.1098/rstb.2020.0267	Data and code related to household-contact-tracing data code GitHub
Knowledge and preventive behaviors regarding COVID-19 in Bangladesh: A nationwide distribution Hosen I., Pakpour A. H., Sakib N., Hussain N., et al (2021) Public Library of Science (PLoS) DOI: 10.1371/journal.pone.0251151	Dataset on the COVID-19 pandemic and serious psychological consequences in Bangladesh: a population-based nationwide study. data
Occupational burnout and job satisfaction among physicians in times of COVID-19 crisis: a convergent parallel mixed-method study Alrawashdeh H. M., Al-Tammemi A. B., Alzawahreh M. K., Al-Tamimi A., et al (2021) Springer Science and Business Media LLC DOI: 10.1186/s12889-021-10897-4	Individual-level demographic, occupational, COVID-19 data data Figshare
The Impact of Coronavirus (COVID-19) Related Public-Health Measures on Training Behaviours of Individuals Previously Participating in Resistance Training: A Cross-Sectional Survey Study Steele J., Androulakis-Korakakis P., Carlson L., Williams D., et al (2021) Springer Science and Business Media LLC DOI: 10.1007/s40279-021-01438-5	Raw data, plots, surveys data Open Science Framework
A population-based nationwide dataset concerning the COVID-19 pandemic and serious psychological consequences in Bangladesh Pakpour A. H., Al Mamun F., Hosen I., Griffiths M. D., et al (2021) Elsevier BV DOI: 10.1016/j.dib.2020.106621	Raw dataset: socio-demographic characteristics, sources of information regarding COVID-19, knowledge concerning COVID-19, behavior in preventing COVID-19, etc. (n=10,067) data Harvard Dataverse Detailed description of all study variables data
Assessing relative COVID-19 mortality: a Swiss population-based study Hothorn T., Bopp M., Günthard H., Keiser O., et al (2021) BMJ DOI: 10.1136/bmjopen-2020-042387	R and Stata code related to COVID-19 mortality assessment code GitLab
The effects of school closures on SARS-CoV-2 among parents and teachers Vlachos J., Hertegård E., B. Svaleryd H. (2021) Proceedings of the National Academy of Sciences DOI: 10.1073/pnas.2020834118	Analysis code code Open Science Framework
Community health worker knowledge, attitudes and practices towards COVID-19: Learnings from an online cross-sectional survey using a digital health platform, UpSCALE, in Mozambique Feldman M., Lacey Krylova V., Farrow P., Donovan L., et al (2021) Public Library of Science (PLoS) DOI: 10.1371/journal.pone.0244924	Knowledge, attitudes, and practices (KAP) survey results. data
High Rates of COVID-19 Vaccine Hesitancy and Its Association with Conspiracy Beliefs: A Study in Jordan and Kuwait among Other Arab Countries Sallam M., Dababseh D., Eid H., Al-Mahzoum K., et al (2021) MDPI AG DOI: 10.3390/vaccines9010042	Data cannot be shared publicly, but applications can be made for access. data
Risk of depression, suicide and psychosis with hydroxychloroquine treatment for rheumatoid arthritis: a multinational network cohort study Lane J. C. E., Weaver J., Kostka K., Duarte-Salles T., et al (2020) Oxford University Press (OUP) DOI: 10.1093/rheumatology/keaa771	Study protocol and analysis source code code GitHub Analysis tools used in study code GitHub Data and results artefacts that do not include patient-level health information data
Social Determinants Predict Outcomes in Data From a Multi-Ethnic Cohort of 20,899 Patients Investigated for COVID-19 Lundon D. J., Mohamed N., Lantz A., Goltz H. H., et al (2020) Frontiers Media SA DOI: 10.3389/fpubh.2020.571364	Data cannot be publicly shared, though it is is possible to apply for access. data
The impact of early public health interventions on SARS-CoV-2 transmission and evolution Duchene S., Featherstone L., de Blasio B. F., Holmes E. C., et al (2020) Cold Spring Harbor Laboratory DOI: 10.1101/2020.11.18.20233767	Supplementary materials include a list of GISAID accession numbers for the sequences used, and a summary of public intervention actions adopted in Nordic countries. data
Dashboard of Sentiment in Austrian Social Media During COVID-19 Pellert M., Lasser J., Metzler H., Garcia D. (2020) Frontiers Media SA DOI: 10.3389/fdata.2020.00032	Data related to Austrian social media during COVID-19. data
Modelling the dispersion of SARS-CoV-2 on a dynamic network graph Bryant P., Elofsson A. (2020) Cold Spring Harbor Laboratory DOI: 10.1101/2020.10.19.20215046	Code related to modelling the spread of COVID-19 on a dynamic social network with spread reduction according to Google mobility changes data GitHub Raw data and results related to modelling the spread of COVID-19 on a dynamic social network with spread reduction according to Google mobility changes code GitHub
Factors contributing to healthcare professional burnout during the COVID-19 pandemic: A rapid turnaround global survey Morgantini L. A., Naha U., Wang H., Francavilla S., et al (2020) Public Library of Science (PLoS) DOI: 10.1371/journal.pone.0238217	Number of COVID-19 deaths contributed by specific age group and population characteristics for 14 countries and 13 US states. data Healthcare professionals’ responses about perceptions, exposure, and workload during the COVID-19 pandemic. data
The effect of opening up the US on COVID-19 spread Bryant P., Elofsson A. (2020) Cold Spring Harbor Laboratory DOI: 10.1101/2020.07.03.20145649	Code for modeling the impact of NPI implementations and lifting in all US states code GitHub Data for modeling the impact of NPI implementations and lifting in all US states data GitHub