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.
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A County-Level Dataset for Informing the United States' Response to COVID-19
Open Data and Surveys Related to COVID-19In addition to the JHU CSSE COVID-19 Dashboard, the dataset contains more than 300 variables that summarize population estimates, demographics, ethnicity, housing, education, employment and income, climate, transit scores, and healthcare system-related metrics on the county-level. The data contains demographic, socioeconomic, health care, education and transit data for each county in the 50 states and Washington DC. Also, county-level timeseries of cumulative COVID-19 infections, and deaths are included. A timeseries of projected requirements and deficits for hospital beds, ICUs, ventilators, across all US states from 1st March 2020 till 4th August 2020. Furthermore, data contains the dates that counties (or states governing them) took measures to mitigate the spread by restricting gatherings, etc.
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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.
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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.
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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.
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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.
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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.
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Corona Virus Counter Measures
Open Data and Surveys Related to COVID-19This web app tracks global policies against the coronavirus. It covers the period from 23 January 2020, when China announced the first lockdown measures in Wuhan, to now.
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COVID-19 and Inequality - Survey Program
Open Data and Surveys Related to COVID-19The surveys focus on the social and political consequences of the coronavirus crisis and cover multiple topics, such as the perceived individual and social consequences of the pandemic and the measures taken to contain it, trust in health and social policy and the welfare state, support for government aid given to businesses, gender inequalities, questions of solidarity within the EU, opinions on the "Corona app", on debates about loosening the emergency measures, and on perceived infection risks in the working place. The surveys combine the latest research about the highly unusual pandemic-induced situation with a wider range of interdisciplinary questions that are at the core of the Cluster's long-term agenda.
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Cuebiq COVID-19 Mobility Insights
Open Data and Surveys Related to COVID-19Cuebiq makes its anonymized mobility data and data expertise available to trusted researchers of COVID-19 to study aggregate human mobility patterns as COVID-19 spreads, the secondary impacts of the disease and health interventions, and to model the possible spread of the disease based on historic mobility patterns.
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DRKS - German Clinical Trials Register
Public Health and MedicineMost of these corona studies are non-interventional and cover a broad spectrum, ranging from registry studies regarding infections in pregnancy and the postpartum period to online interventions to deal with the corona crisis. The widely discussed study on the situation regarding COVID-19 in Heinsberg can also be found in the DRKS.
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ESPACOV - Estudio Social sobre la Pandemia de COVID-19
Open Data and Surveys Related to COVID-19ESPACOV examines the opinions of Spain’s citizenry regarding the multifaceted crisis originated by the COVID-19 pandemic, focusing mainly on assessments of actual and potential non-pharmaceutical interventions. The questionnaire also comprises items on the lockdown experience as such, the degree of concern regarding the possibility of infection, as well as the social and economic impact of this crisis. The survey was fielded in the fourth week of the generalized lockdown imposed on March 14th, 2020, by the Spanish government. The obtained sample amounts to N=2,391.
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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.
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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.
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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.
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National Governors Association COVID-19 State and Territory Action Tracker
Open Data and Surveys Related to COVID-19The US National Governors Association (NGA) is collecting information on actions states/territories have taken to address the COVID-19 pandemic; as well as advocacy, and policy for protecting public health and the economy.
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In detail NGA collects enactment dates and further details on state actions addressing business reopening, public health criteria in reopening plans, state COVID-19 emergency orders, and COVID-19 education reopening policies.
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OpenABM-COVID-19 Project
Open Data and Surveys Related to COVID-19OpenABM-Covid19 is an agent-based model (ABM) developed to simulate the spread of Covid-19 in a city and to analyse the effect of both passive and active intervention strategies. Interactions between individuals are modelled on networks representing households, work-places and random contacts. The infection is transmitted between these contacts and the progression of the disease in individuals is modelled. Instantaneous contract-tracing and quarantining of contacts is modelled allowing the evaluation of the design and configuration of digital contract-tracing mobile phone apps.
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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).
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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)
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#14903
A Year of Pandemic: Levels, Changes and Validity of Well-Being Data from Twitter. Evidence from Ten Countries
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#13690
Are Happier People More Compliant? Global Evidence From Three Large-Scale Surveys During Covid-19 Lockdowns
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#14095
Coronavirus and Social Distancing: Do Non-Pharmaceutical-Interventions Work (at Least) in the Short Run?
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#14116
COVID-19 Severity: A New Approach to Quantifying Global Cases and Deaths
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#13778
Determinants of the Community Mobility during the COVID-19 Epidemic: The Role of Government Regulations and Information
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#13480
Does the COVID-19 Pandemic Improve Global Air Quality? New Cross-National Evidence on Its Unintended Consequences
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#13664
Exponential Growth Bias in the Prediction of COVID-19 Spread and Economic Expectation
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#13649
Failing to Pull Together: South Africa's Troubled Response to COVID-19
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#14967
Gimme Shelter. Social Distancing and Income Support in Times of Pandemic
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#15294
Hiding the Elephant: The Tragedy of COVID Policy and Its Economist Apologists
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#13927
Interventions with Positive Side-Effects: COVID-19 Non-Pharmaceutical Interventions and Infectious Diseases in Europe
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#13158
Labour Supply in the Early Stages of the COVID-19 Pandemic: Empirical Evidence on Hours, Home Office, and Expectations
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#13293
Lockdown Strategies, Mobility Patterns and COVID-19
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#14980
Neo-Humanism and COVID-19: Opportunities for a Socially and Environmentally Sustainable World
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#13227
Occupational Exposure to Contagion and the Spread of COVID-19 in Europe
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#13427
Public Attention and Policy Responses to COVID-19 Pandemic
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#13516
Reacting Quickly and Protecting Jobs: The Short-Term Impacts of the COVID-19 Lockdown on the Greek Labor Market
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#13651
The Beneficial Impacts of COVID-19 Lockdowns on Air Pollution: Evidence from Vietnam
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#14269
The Labour Market Impact of COVID-19: Early Evidence for a Sample of Enterprises from Southern Europe
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#13351
The Political Scar of Epidemics
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#13205
Trust and Compliance to Public Health Policies in Times of COVID-19
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#15171
Trust Predicts Compliance with COVID-19 Containment Policies: Evidence from Ten Countries Using Big Data
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#13366
Unequal Consequences of COVID-19 across Age and Income: Representative Evidence from Six Countries
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#15209
What COVID-19 May Leave Behind: Technology-Related Job Postings in Canada
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#14903
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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.
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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.
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Teralytics Mobility Data
Technological DevelopmentProprietary data on daily individual movements which contain the number of journeys within and across mobile phone locations. A journey ends when the use remains in place for at least one hour. Short journeys with a distance of less 2 kilometers are not captured.
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The COPSY-Study
Open Data and Surveys Related to COVID-19The COPSY study examines the effects and consequences of the COVID-19 pandemic on the mental health of children and adolescents in Germany. An additional goal of the COPSY study is to identify influencing factors that promote the mental health of children and adolescents in this crisis situation. From this, recommendations and strategies for prevention and intervention measures are to be derived promoting the mental health of children and adolescents during the COVID-19 pandemic. In the nationwide COPSY study, an extensive online survey on the mental health of children and adolescents and their families is carried out. A total of 1,000 11 to 17 year old children and adolescents as well as 1,500 parents of 7 to 17 children and adolescents are interviewed. The online questionnaire includes questions about how children deal with the crisis situation, questions about school, friends and family, about psychological problems such as anxiety and depression and about psychosomatic complaints. The family environment, media consumption and eating habits are also examined (in German).
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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.
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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
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The Hunt Institute: COVID-19 Resources and Policy Considerations
Open Data and Surveys Related to COVID-19The Hunt Institute has put together state-specific resources across the education continuum, as well as policy measures addressing child care, K-12, and post secondary COVID-19 responses.
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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.
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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.