Data Resources on the COVID-19 Pandemic
last update 2 years ago
A number of national and international research projects are currently underway that empirically
record the economic and social effects of the COVID-19 pandemic. The collection is wide and ranges
from snapshots of surveys with self-selected samples, representative surveys, longitudinal studies,
experiments, etc..
IZA’s Research Data Center (IDSC) collects and curates the information on such new initiatives.
Projects with high research output based on number of IZA Discussion Papers or otherwise are
promoted especially as “featured resources” on the top of our website.
Please contact the IDSC of IZA for any suggestions of further content at
idsc@iza.org.
-
A Tracker of Trackers: COVID-19 Policy Responses and Data
Open Data and Surveys Related to COVID-19A massive collection of COVID-19 policy trackers and data. It covers cross-country research in the areas of non-pharmaceutical interventions, economic and social policy responses, public attitudes, politics and media coverage.
Link to resource
-
BfR-Corona-Monitor
Open Data and Surveys Related to COVID-19The BfR Corona-Monitor is a recurring representative survey of the German population's perception of risks from the new type of coronavirus. Since 24 March 2020, randomly selected people have been asked by telephone every Tuesday about their perception of the risk of infection and the protective measures they have taken.
Link to resource
-
Cambridge Core Blog: Country Responses to the Covid-19 Pandemic
Open Data and Surveys Related to COVID-19Members of the European Health Policy Group and the Anglo-American Health Policy Network, were invited to write 1,200 words on the response of their region or country thus far to the COVID-19 pandemic.
Link to resource
The authors were asked to write their reports on their country/region’s response to the pandemic up to the beginning of April, offering an indication of the justification given for the response (e.g. was it expert-informed, was the response immediate or delayed, was it informed by the experiences of other countries etc.?). In the final third of their reports, the authors were asked to offer a reflection on the response thus far. They were asked to consider what they think has been done well, and what could have been done better.
At the beginning of each month, until the crisis has passed, the authors will be given the opportunity to offer short updates, of 600-800 words, on their country/region’s continuing response to this pandemic and their further reflections on those responses.
-
CHS COVID-19 Control Strategies List (CCCSL)
Open Data and Surveys Related to COVID-19Worldwide, governments have implemented country-specific control strategies to . However, were those measures effective? Researchers at the Complexity Science Hub (CSH) Vienna are building a comprehensive database of non-pharmaceutical interventions (NPIs) taken by the governments worldwide in order to prevent the introduction and mitigate the spread of the virus, and to assess the impact of these actions on the spread of the COVID-19 in the respective countries. Students, researchers, and volunteers are collecting data from public sources on the implemented NPIs, including the time schedules for the implementation.
Link to resource
The dataset describes the implemented NPIs for 54 countries, including the Diamond Princess cruise ship. Measures implemented at the subnational level (state, region, city) are also included.
-
Corona Compass
Open Data and Surveys Related to COVID-19The Corona Compass study, conducted by infratest dimap, is based on a representative sample of the German population eligible to vote in Germany and with an online access. A standard set of questions includes, among other things, the extent to which corona infections are affected in the personal environment, the evaluation of government measures as a whole, the assessment of various individual measures by the state and of companies, the subjective risk assessment of infection, basic attitudes towards economic and political situation and other key indicators. The standard set has been expanded and modified several times recording the acceptance of new measures that are becoming increasingly important in the public discussion. In addition, the Corona Compass collects various questions from basic behavioral and social science research.
Link to resource
As such, it is one of the few representative surveys of (family) well-being that exists for Germany. The COMPASS study has more observations and more information on families than other special well-being surveys taken during the COVID-19 crisis.
The data includes satisfaction in three areas that are important for the well-being of families, namely general life satisfaction, satisfaction with family life, and satisfaction with childcare. The data also includes detailed questions on whether individuals with dependent children in the household are affected by school and day care center closures, on the degree to which they feel restricted by public measures taken to contain COVID-19, and on the extent to which they work from home (in German).
Show Related IZA Discussion Papers using this Data Resource 2 -
Countering COVID-19: A European Survey on Acceptability and Commitment to Preventive Measures
Open Data and Surveys Related to COVID-19The survey is covering over 7.500 individuals that are representative of the population in seven European countries with respect to region, age, gender and education. The fieldwork took place from April 2 to April 15 using an online questionnaire addressing such issues as people’s risk perceptions, support of containment policies, trust in information, worries, vaccination attitudes, and prevention behavior in the context of the COVID-19 pandemic. Within this project, the survey will be conducted again twice in May and in June.
Link to rescoure
-
Covid-19 Safe Distance
Open Data and Surveys Related to COVID-19The data provides new evidence related to predictors of COVID-19 transmission. Specifically, it investigates work and personal predictors of transmission experience reported by to better understand possible transmission pathways and mechanisms in the community.
Link to resource
The survey took place over the first week of June 2020 by electronic means (via phones or personal computers but not face-to-face meetings) using quota sampling to obtain a national sample broadly representative for those of working age with some oversampling to reflect contrasts of interest.
Show Related IZA Discussion Papers using this Data Resource 1 -
Education Week
Open Data and Surveys Related to COVID-19Education Week tracked and documented the closures—first at the school or district level and ultimately, state-by-state, from March 6 to May 15, 2020. Looking for information about the 2020-21 school year? Education Week tracked where schools were open or closed due to COVID-19 here: (Map: Where Has COVID-19 Closed Schools? Where Are They Open?).
Link to resource
The data are no longer updated.
Show Related IZA Discussion Papers using this Data Resource 1 -
EUCLID-Project Risk Perceptions & Behavior in the Context of the Current Coronavirus Outbreak
Open Data and Surveys Related to COVID-19In response to the ongoing public health emergency due to the Coronavirus (SARS-CoV-2 and the associated disease COVID-19) outbreak worldwide, the University of Konstanz developed an online survey “EUCLID” to track: 1. Subjective health & symptoms, 2. Perceived risk & outbreak related perceptions, 3. Protection motivation & behavior, 4. Expected future developments of the current outbreak.
Link to resource
The online panel (Prolific Academic), was conducted with social media (e.g. Facebook, Twitter), and email lists using a snowball system. Participation is voluntary and as compensation, participants could take part in a lottery. Data collection started February 02, 2020 as part of a student project.
The EUCLID study was carried out as part of the RiskDynamics (FOR 2374) research group funded by the Deutsche Forschungsgemeinschaft (DFG) and the Center of Excellence Cluster for the Advanced Study of Collective Behavior at the University of Konstanz. The surveys are continued on an ongoing basis in 15 countries (July 2020).
-
Gender Inequality in COVID-19 Times
Open Data and Surveys Related to COVID-19It is a survey on approximately 1,500 UK respondents in Prolific, an online platform that connects researchers with participants, who get paid cash for taking part in research. Conditional on participating in the survey, the sample is representative of the UK population with regards age, sex and ethnicity. The survey was launched on 19 June 2020, three months after the beginning of the lockdown on the 23 March 2020, and the focus is on well-being, perceptions and behaviors in COVID-19 times.
Link to resource
Show Related IZA Discussion Papers using this Data Resource 1 -
Global COVID-19 Survey
Open Data and Surveys Related to COVID-19The Global COVID-19 Survey is being used for tracking, monitoring, and analyzing global socio-behavioral trends to inform the COVID-19 global response. The study is done by the Brigham and Women’s Hospital and Harvard Humanitarian Initiative. The purpose of this research is to analyze socio-behavioral aspects of outbreak control. The research will be used to inform national, regional and global health communication strategies and better inform response efforts. Participation in the online survey is voluntary.
Link to resource
-
Health System Response Monitor (HSRM)
Public Health and MedicineThe Health System Response Monitor (HSRM) has been designed in response to the COVID-19 outbreak to collect and organize up-to-date information on how countries are responding to the crisis. It focuses primarily on the responses of health systems but also captures wider public health initiatives.
Link to resource
-
Imperial College London YouGov Covid-19 Behavior Tracker Data Hub
Open Data and Surveys Related to COVID-19YouGov has partnered with the Institute of Global Health Innovation (IGHI) at Imperial College London to gather global insights on people’s behaviors in response to COVID-19. The research covers 29 countries, interviewing around 21,000 people each week.
Link to resource
It is designed to provide behavioural analysis on how different populations are responding to the pandemic, helping public health bodies in their efforts to limit the impact of the disease. Anonymised respondent level data will be available for all public health and academic institutions globally.
The questions in the survey, led by IGHI, cover data on testing, symptoms, self-isolating in response to symptoms and the ability and willingness to self-isolate if needed. It also looks at behaviors, including going outdoors, working outside the home, contact with others, hand washing and the extent of compliance with 20 common preventative measures.
Show Related IZA Discussion Papers using this Data Resource 2 -
infas Corona Data Platform
Open Data and Surveys Related to COVID-19The infas Institute for Applied Social Science and infas 360, together with the IHPH - Institute for Hygiene and Public Health at the University Hospital Bonn, were commissioned by the Federal Ministry for Economic Affairs and Energy and to set up an accompanying data platform for the COVID-19 epidemic.
Link to resource
This should continuously record framework data, pandemic-related developments and containment measures on a regional basis. The data platform serves as the basis for statistical analyzes and modeling and thus ultimately for evidence-based policy advice. After registration, the data can be downloaded free of charge for research and science (in German).
Since April 1, 2021, in addition to the regional infection data (infections, recovered persons, deaths, intensive care units), which are updated daily in the data platform, other data sets have been brought up to date and expanded with new indicators.
Monthly labor market development for cities and districts; daily data on the progress of Covid-19 vaccinations at state level; deaths and excess mortality per federal state; monthly weather data at district level.
-
KOF Stringency Indices
Open Data and Surveys Related to COVID-19The KOF Stringency Index and KOF Stringency-Plus Index document the severity of the Covid-19 measures in Switzerland. The indices show the development of the lockdown rules over time and in comparison between the cantons. The values range from 0 (= no measures) to 100 (= complete lockdown).
Link to resource
The data has been available at national level and individually for all 26 cantons in Switzerland since January 2020 and are updated daily.
The KOF Stringency Index consists of the following nine sub-indices: school closings; company closures; cancellation of public events; convention restrictions; reduced use of public transport; rules to stay at home; nationwide exit restrictions; international travel restrictions and information campaigns for the population.
For the KOF StringencyPlus Index is adapting the original KOF Stringency Index in two dimensions: on the one hand, face coverings as an additional indicator are considered, and on the other, a further category to the sub-indicator “business closure” is added.
Show Related IZA Discussion Papers using this Data Resource 1 -
ONE Africa COVID-19 Tracker
Open Data and Surveys Related to COVID-19The ONE Africa COVID-19 Tracker has information on the health, economic, and social impacts of the virus on African countries. The Tracker includes a wide range of data to understand where resource gaps exist, how the economies of African countries are being impacted, and how societies and the individuals living within them are affected. The tracker provides insights into questions such as: How many hospital beds and intensive care units do countries currently have? What social protection measures have governments taken to minimize the virus’s impact or limit civil liberties? How has the crisis and resulting economic shutdowns impacted food intake or remittances from relatives living abroad?
Link to resource
-
Oxford COVID-19 Government Response Tracker (OxCGRT)
Open Data and Surveys Related to COVID-19The University of Oxford’s Blavatnik School of Government systematically collects information on policy stringency taken by governments to tackle the pandemic since February 2020. OxCGRT collects information on government policy responses across eight dimensions, namely: (i) school closures; (ii) workplace closures; (iii) public event cancellations; (iv) gathering restrictions; (v) public transportation closures; (vi) stay-at-home orders; (vii) restrictions on internal movement; and (viii) international travel bans. These dimensions are then used to calculate response indexes to COVID-19. Each index is rescaled to get a score between 0 and 100 (100 representing the highest degree of strictness/restriction).
Link to resource
Why is this resource interesting?"This tracker implemented by the University of Oxford’s Blavatnik School of Government systematically collects information on the measures taken by governments to tackle the pandemic since February 2020 . OxCGRT is based on publicly avail-able information on 13 indicators of government response (policies such as school closures, ban son public gatherings or travel, etc., and financial indicators such as fiscal or monetary measures). Each indicator is re-scaled to get a score between 0 and 100 (100 representing the highest degree of strictness/restriction)." (IZA DP 13205)
Show Related IZA Discussion Papers using this Data Resource 24-
#14903
A Year of Pandemic: Levels, Changes and Validity of Well-Being Data from Twitter. Evidence from Ten Countries
-
#13690
Are Happier People More Compliant? Global Evidence From Three Large-Scale Surveys During Covid-19 Lockdowns
-
#14095
Coronavirus and Social Distancing: Do Non-Pharmaceutical-Interventions Work (at Least) in the Short Run?
-
#14116
COVID-19 Severity: A New Approach to Quantifying Global Cases and Deaths
-
#13778
Determinants of the Community Mobility during the COVID-19 Epidemic: The Role of Government Regulations and Information
-
#13480
Does the COVID-19 Pandemic Improve Global Air Quality? New Cross-National Evidence on Its Unintended Consequences
-
#13664
Exponential Growth Bias in the Prediction of COVID-19 Spread and Economic Expectation
-
#13649
Failing to Pull Together: South Africa's Troubled Response to COVID-19
-
#14967
Gimme Shelter. Social Distancing and Income Support in Times of Pandemic
-
#15294
Hiding the Elephant: The Tragedy of COVID Policy and Its Economist Apologists
-
#13927
Interventions with Positive Side-Effects: COVID-19 Non-Pharmaceutical Interventions and Infectious Diseases in Europe
-
#13158
Labour Supply in the Early Stages of the COVID-19 Pandemic: Empirical Evidence on Hours, Home Office, and Expectations
-
#13293
Lockdown Strategies, Mobility Patterns and COVID-19
-
#14980
Neo-Humanism and COVID-19: Opportunities for a Socially and Environmentally Sustainable World
-
#13227
Occupational Exposure to Contagion and the Spread of COVID-19 in Europe
-
#13427
Public Attention and Policy Responses to COVID-19 Pandemic
-
#13516
Reacting Quickly and Protecting Jobs: The Short-Term Impacts of the COVID-19 Lockdown on the Greek Labor Market
-
#13651
The Beneficial Impacts of COVID-19 Lockdowns on Air Pollution: Evidence from Vietnam
-
#14269
The Labour Market Impact of COVID-19: Early Evidence for a Sample of Enterprises from Southern Europe
-
#13351
The Political Scar of Epidemics
-
#13205
Trust and Compliance to Public Health Policies in Times of COVID-19
-
#15171
Trust Predicts Compliance with COVID-19 Containment Policies: Evidence from Ten Countries Using Big Data
-
#13366
Unequal Consequences of COVID-19 across Age and Income: Representative Evidence from Six Countries
-
#15209
What COVID-19 May Leave Behind: Technology-Related Job Postings in Canada
-
#14903
-
Oxford Supertracker - The Global Directory for COVID Policy Trackers and Surveys
Open Data and Surveys Related to COVID-19The Oxford COVID-19 ‘Supertracker’ is a ‘precious compass to help policy-makers' around the world, according to leading international institutions.
Link to resource
Numerous organizations have produced trackers to allow policy-makers and stakeholders to follow and evaluate policy changes and their impact on the pandemic in the UK, Europe and across the world. The Oxford ‘Supertracker’ project makes this information freely available with one tool, allowing users to search and identify international policy.
-
Roper Center: Supporting Public Opinion Data Related to COVID-19
Open Data and Surveys Related to COVID-19The Roper Center for Public Opinion Research, located at Cornell University, is the world’s leading archive of public opinion survey data. Among others, the Center’s mission is to collect, preserve, and disseminate public opinion data on COVID-19 for the research community and the interested public.
Link to resource
-
Safegraph Shelter-In-Place Index
Open Data and Surveys Related to COVID-19Due to the COVID-19 pandemic, people are currently engaging in social distancing. In order to understand what is actually occurring at a census block group level, SafeGraph is offering a temporary Social Distancing Metrics product. The data was generated using a panel of GPS pings from anonymous mobile devices. This product is delivered daily (3 days delayed from actual). Daily data is available going back to January 1, 2020.
Link to resource
Show Related IZA Discussion Papers using this Data Resource 9-
#13388
Black Lives Matter Protests, Social Distancing, and COVID-19
-
#14682
COVID-19 Mobility Policies Impacts: How Credible Are Difference-in-Differences Estimates?
-
#13160
Did California's Shelter-In-Place Order Work? Early Coronavirus-Related Public Health Effects
-
#13314
Did the Wisconsin Supreme Court Restart a COVID-19 Epidemic? Evidence from a Natural Experiment
-
#13797
Economics and Epidemics: Evidence from an Estimated Spatial Econ-SIR Model
-
#13521
Racial and Ethnic Disparities in COVID-19: Evidence from Six Large Cities
-
#13670
The Contagion Externality of a Superspreading Event: The Sturgis Motorcycle Rally and COVID-19
-
#13262
Were Urban Cowboys Enough to Control COVID-19? Local Shelter-In-Place Orders and Coronavirus Case Growth
-
#13190
When Do Shelter-In-Place Orders Fight COVID-19 Best? Policy Heterogeneity across States and Adoption Time
-
#13388
-
The COVID-19 Research Database
Open Data and Surveys Related to COVID-19The COVID-19 research database enables public health and policy researchers to use real-world data to better understand and combat the COVID-19 pandemic. The database is a pro-bono, cross-industry collaborative, composed of institutions donating technology service, healthcare expertise, and limited and de-identified data. The database is a public-private consortium organized by Datavant, Health Care Cost Institute, Medidata, Mirador Analytics, Veradigm, Change Healthcare, Snowflake and many others.
Link to resource
The database can be accessed by academic, scientific and medical researchers conducting real-world data studies related to COVID-19. Although researchers may come from any sector, only non-profit, non-commercial projects related to COVID-19 or pandemics will be considered. All results must be made publicly available, preferably through peer-reviewed publications. To get access, first register as a researcher on the homepage
-
The French SAPRIS Project
Open Data and Surveys Related to COVID-19The SAPRIS project is a longitudinal general population survey designed to identify the epidemiological and social issues of the coronavirus public health crisis in France. It draws on the national general population cohorts, comprising a total of over 200,000 persons.
Link to resource
Research focuses include the incidence of COVID-19 symptoms and other health problems; whether or not people seek medical care; risk perception; the effects of infection prevention measures on daily life, social relations, and work; and trust in public and scientific recommendations. The impact of lockdown on children will also be studied, in terms of its effects on parent-child relations and leisure activities, particularly screen use; as well as home schooling conditions and children’s overall well-being in a situation of confinement (in French).
-
Tracking Public Health and Social Measures (PHSM)
Open Data and Surveys Related to COVID-19Since the start of the COVID-19 pandemic, a number of organizations have begun tracking implementation of Public health and social measures (PHSMs) around the world, using different data collection methods, database designs and classification schemes. A unique collaboration between WHO, the London School of Hygiene and Tropical Medicine, ACAPS, University of Oxford, Global Public Health Intelligence Network, US Centers for Disease Control and Prevention and the Complexity Science Hub Vienna has brought these datasets together, using a common taxonomy and structure, into a single, open-content dataset for public use.
Link to resource
The project has two stages and different databases are associated with each stage: in stage 1, the datasets from each of the seven providers were formatted and coded but not cleaned or altered, apart from standardizing country, territory or area names to those used by the WHO. This database has duplicate records if more than one dataset reported the same measure. In stage 2, duplicates were removed, PHSM coding was validated and verified beyond what the dataset providers have already done, additional variables were coded for each measure, and records are closed if the measure is no longer in place.
-
University College London (UCL) COVID-19 Social Study
Open Data and Surveys Related to COVID-19The UCL COVID-19 Social Study is a large panel study of the psychological and social experiences of over 75,000 adults (aged 18+) in the UK during the COVID-19 pandemic. The study commenced on 21st March 2020 and involves online weekly data collection from participants for the duration of the COVID-19 pandemic in the UK. The study is not random and therefore is not representative of the UK population. But it does contain a well-stratified sample that was recruited using three primary approaches. First, snowballing was used, including promoting the study through existing networks and mailing lists (including large databases of adults who had previously consented to be involved in health research across the UK), print and digital media coverage, and social media. Second, more targeted recruitment was undertaken focusing on (i) individuals from a low-income background, (ii) individuals with no or few educational qualifications, and (iii) individuals who were unemployed. Third, the study was promoted via partnerships with third sector organizations to vulnerable groups, including adults with pre-existing mental health conditions, older adults, carers, and people experiencing domestic violence or abuse. The study was approved by the UCL Research Ethics Committee [12467/005] and all participants gave informed consent.
Link to resource
Show Related IZA Discussion Papers using this Data Resource 2