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 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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ActiveConclusion COVID-19 Mobility Data Aggregator
Open Data and Surveys Related to COVID-19Scraper of Google, Apple and Waze COVID-19 Mobility Reports
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Show Related IZA Discussion Papers using this Data Resource 1 -
Apple and Google Partner on COVID-19 Contact Tracing Technology
Technological DevelopmentApple and Google will be launching a comprehensive solution that includes application programming interfaces (APIs) and operating system-level technology to assist in enabling contact tracing.
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Apple Mobility Reports
Open Data and Surveys Related to COVID-19Changes in requests for directions by transportation type for all available countries/regions and cities. Reports are published daily and reflect requests for directions in Apple Maps.
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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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Centers for Disease Control and Prevention (CDC) COVID-19 Disease
Open Data and Surveys Related to COVID-19CDC uses diverse data streams to track and analyze COVID-19 at the local, state, and national levels. CDC reports COVID-19 case counts, deaths, and laboratory testing numbers daily online. Data on the COVID-19 website and CDC’s COVID Data Tracker are based on the most recent numbers reported by states, territories, and other jurisdictions. Data are dependent on jurisdictions’ timely and accurate reporting. In addition, CDC regularly reports provisional death certificate data on the NCHS website.
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Show Related IZA Discussion Papers using this Data Resource 8-
#13265
An Economic Model of the COVID-19 Epidemic: The Importance of Testing and Age-Specific Policies
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#13745
Predictors of Social Distancing and Mask-Wearing Behavior: Panel Survey in Seven U.S. States
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#13521
Racial and Ethnic Disparities in COVID-19: Evidence from Six Large Cities
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#14984
School Closures and Effective In-Person Learning during COVID-19: When, Where, and for Whom
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#15156
State-Level Economic Policy Uncertainty
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#13632
The Forgotten Numbers: A Closer Look at COVID-19 Non-Fatal Valuations
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#13159
The Short-Term Economic Consequences of COVID-19: Exposure to Disease, Remote Work and Government Response
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#13440
Urban Density and COVID-19
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#13265
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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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COVID-19 Cases for Italy from the Civil Protection Department
Open Data and Surveys Related to COVID-19COVID-19 data releases of the Italian Department of Civil Protection (Presidency of the Council of Minister). This data allows to explore the consequences of the heterogeneity in the geographical diffusion of the COVID-19 outbreak.
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Show Related IZA Discussion Papers using this Data Resource 5-
#13805
National or Local? The Demand for News in Italy during COVID-19
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#13375
Partial Lockdown and the Spread of COVID-19: Lessons from the Italian Case
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#13310
Social Capital and the Spread of COVID-19: Insights from European Countries
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#13629
The Economic Effects of COVID-19 and Credit Constraints: Evidence from Italian Firms' Expectations and Plans
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#14658
Voting, Contagion and the Trade-Off between Public Health and Political Rights: Quasi-Experimental Evidence from the Italian 2020 Polls
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#13805
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COVID-19 Disorder Tracker
Open Data and Surveys Related to COVID-19The COVID-19 Disorder Tracker (CDT) provides special coverage of the pandemic’s impact on political violence and protest around the world, monitoring changes in demonstration activity, state repression, mob attacks, overall rates of armed conflict, and more.
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COVID-19 Hospitalization Tracking Project
Open Data and Surveys Related to COVID-19The Medical Industry Leadership Institute (MILI) and the Management Information Systems Research Center (MISRC) at the Carlson School of Management has launched this project to consistently track and report daily hospitalizations from all 50 states. Each state’s website is reviewed twice daily. The COVID-19 tracking database is recording the following variables: aggregated, de-identified data from states’ reports on current hospitalizations, cumulative hospitalizations, current and cumulative ICU and ventilator use and deaths from state’s publicly available website. All recorded data is time stamped
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Show Related IZA Discussion Papers using this Data Resource 1 -
COVID-19 Infections from the Public Health Agency of Sweden at the County-Day Level
Open Data and Surveys Related to COVID-19The current number of confirmed (county-, and city day) cases, weekly reports, tests performed, analyzes, forecasts and risk assessment is displayed on the website of the Public Health Agency of Sweden (in Swedish).
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Show Related IZA Discussion Papers using this Data Resource 1 -
COVID-19 Situation in Switzerland
Open Data and Surveys Related to COVID-19Data on confirmed cases of coronavirus infections and deaths due to the disease, the epidemiological situation, the search for antibodies, the advisory body, press conferences and news can all be found here.
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Show Related IZA Discussion Papers using this Data Resource 1 -
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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Show Related IZA Discussion Papers using this Data Resource 1 -
Data Sets for COVID-19 Research on Google Cloud Platform
Open Data and Surveys Related to COVID-19In an effort to help combat COVID-19, Google created a COVID-19 Public Datasets program to make data more accessible to researchers, data scientists and analysts. The program will host a repository of public datasets that relate to the COVID-19 crisis and make them free to access and analyze. These include datasets from the New York Times, European Centre for Disease Prevention and Control, Google, Global Health Data from the World Bank, and OpenStreetMap.
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DENTONS New Dynamic Global Employment Tracker
Open Access Full Texts Related to COVID-19In this tracker, you will continue to find the latest government guidelines along with details on how to manage government provisions impacting businesses and employer protection responsibilities, returning to work (guidelines and obligations), employment terms adjustment, employee compensation in quarantine (if unable to perform functions/diagnosed with COVID-19), employee data privacy, and travel protocols.
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European Centre for Disease Prevention and Control
Open Data and Surveys Related to COVID-19The downloadable data file is updated daily and contains the latest available public data on COVID-19. Each row/entry contains the number of new cases reported per day and per country. You may use the data in line with ECDC’s copyright policy.
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Why is this resource interesting?ECDC data provide the total number of diagnosed COVID.19 infections, the number of deceased patience and the growth rate of COVID-19 around the globe. ECDC examines reports from health authorities worldwide in a systematic way in order to produce the number of COVID-19 cases and deaths every day.
Show Related IZA Discussion Papers using this Data Resource 10-
#13683
Are COVID Fatalities in the US Higher Than in the EU, and If So, Why?
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#13297
Between a Rock and a Hard Place: Poverty and COVID-19 in Developing Countries
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#13092
Compliance with COVID-19 Social-Distancing Measures in Italy: The Role of Expectations and Duration
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#14095
Coronavirus and Social Distancing: Do Non-Pharmaceutical-Interventions Work (at Least) in the Short Run?
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#13164
How Do We Think the COVID-19 Crisis Will Affect Our Careers (If Any Remain)?
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#13452
Intergenerational Residence Patterns and COVID-19 Fatalities in the EU and the US
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#13114
Intergenerational Ties and Case Fatality Rates: A Cross-Country Analysis
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#13293
Lockdown Strategies, Mobility Patterns and COVID-19
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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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#13683
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EUROSTAT Excess Mortality by Month
Open Data and Surveys Related to COVID-19The monthly excess mortality indicator is based on the exceptional data collection on weekly deaths that Eurostat set up, in April 2020, to support the policy and research efforts related to Covid-19. With that data collection, Eurostat's target was to provide quickly statistics assessing the changing situation of the total number of deaths on a weekly basis, from early 2020 onwards. National Statistical Institutes transmit available data on total weekly deaths, classified by sex, 5-year age groups and NUTS3 regions (NUTS2016) over the last 20 years, on a voluntary basis. The resulting online tables, and complementary metadata, are available in the folder Weekly deaths - special data collection (demomwk). In December 2020, Eurostat released a European Recovery Statistical Dashboard containing also indicators tracking economic and social developments, including health. In this context, “excess mortality” offers elements for monitoring and further analysing direct and indirect effects of the Covid-19 pandemic. The monthly excess mortality indicator draws attention to the magnitude of the crisis by providing a comprehensive comparison of additional deaths amongst the European countries and allowing for further analysis of its causes. The number of deaths from all causes is compared with the expected number of deaths during a certain period in the past. The reasons for an excess mortality may vary according to different phenomena. The indicator is simply comparing the total number of deaths from all causes with the expected number of deaths during a certain period in the past (baseline).
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Show Related IZA Discussion Papers using this Data Resource 1 -
Facebook Community Support
Social MediaFacebook's news site on new tools, and initiatives supporting health and economic relief efforts.
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Facebook Data for Good
Public Health and MedicineNew tools and surveys to help health researchers track and combat COVID-19.
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Facebook’s Movements Range Data
Open Data and Surveys Related to COVID-19The dataset uses the location information of users who enable location services on their mobile Facebook app. The mobility metric is the proportional change in the average number of 0.6 km by 0.6 km tiles visited during a 24 hour period compared to same day of the week in February 2020.
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Flightradar24 Flight Tracking Statistics
Economic DevelopmentFlightradar24 flight tracking statistics for commercial and non-commercial flights.
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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.
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Google's COVID-19 Community Mobility Reports
Open Data and Surveys Related to COVID-19Google COVID-19 community mobility reports aim to provide insights into what has changed in response to policies aimed at combating COVID-19.
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Why is this resource interesting?"The Google COVID-19 mobility reports aggregate anonymized sets of data from users’ mobile device location history. The mobility index measures how visits to, or length of stay at, different types of location change over time compared to a baseline period corresponding to January 3 - February 6, 2020. There are six location categories: (i) retail and recreation, (ii) grocery and pharmacy, (iii) parks (public gardens, dog parks, beaches, etc.), (iv) transit stations (public transport hubs such as subway, bus, train stations), (v) workplaces and (vi) residential areas.
Human mobility is tracked by Google daily and in a consistent manner across 131 countries. For a subset of countries, the information is provided at sub-national level." (IZA DP 13205)
Show Related IZA Discussion Papers using this Data Resource 29-
#14903
A Year of Pandemic: Levels, Changes and Validity of Well-Being Data from Twitter. Evidence from Ten Countries
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#13265
An Economic Model of the COVID-19 Epidemic: The Importance of Testing and Age-Specific Policies
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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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#13297
Between a Rock and a Hard Place: Poverty and COVID-19 in Developing Countries
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#14095
Coronavirus and Social Distancing: Do Non-Pharmaceutical-Interventions Work (at Least) in the Short Run?
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#14682
COVID-19 Mobility Policies Impacts: How Credible Are Difference-in-Differences Estimates?
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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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#13376
Dynamics of Social Mobility during the COVID-19 Pandemic in Canada
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#13649
Failing to Pull Together: South Africa's Troubled Response to COVID-19
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#14883
Fiscal Multipliers in the COVID-19 Recession
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#14967
Gimme Shelter. Social Distancing and Income Support in Times of Pandemic
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#13237
Job Search during the COVID-19 Crisis
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#13293
Lockdown Strategies, Mobility Patterns and COVID-19
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#14229
More than Words: Leaders' Speech and Risky Behavior During a Pandemic
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#14980
Neo-Humanism and COVID-19: Opportunities for a Socially and Environmentally Sustainable World
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#13255
On the Effects of COVID-19 Safer-At-Home Policies on Social Distancing, Car Crashes and Pollution
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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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#13790
School Re-Openings after Summer Breaks in Germany Did Not Increase SARS-CoV-2 Cases
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#14844
Schools under Mandatory Testing Can Mitigate the Spread of SARS-CoV-2
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#15111
Societal Movement Restrictions and Adverse Mental Health Outcomes
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#13234
Stay-At-Home Orders, Social Distancing and Trust
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#13651
The Beneficial Impacts of COVID-19 Lockdowns on Air Pollution: Evidence from Vietnam
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#13862
The COVID-19 Pandemic and the 2020 U.S. Presidential Election
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#13316
Timing is Everything when Fighting a Pandemic: COVID-19 Mortality in Spain
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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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#13440
Urban Density and COVID-19
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#14119
Weather, Psychological Wellbeing and Mobility during the First Wave of the COVID-19 Pandemic
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#14903
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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.
Link to resource
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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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Johns Hopkins University
Public Health and MedicineThe data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE).
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Why is this resource interesting?The Johns Hopkins COVID-19 data "links data from the Robert Koch Institute, the World Health Organization, and the European Centre for Disease Prevention and Control. Furthermore, official statistics from the Robert Koch Institute are downward biased on weekends, as some local administrations only report their case numbers on workdays. The data then enter the official statistics on Monday and Tuesday, yielding an upward bias of the statistics on new infections. We find that the data from the Johns Hopkins University (2020) are more robust to these biases." (Hartl, et al. 2020),
Show Related IZA Discussion Papers using this Data Resource 22-
#13411
A Literature Review of the Economics of COVID-19
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#13388
Black Lives Matter Protests, Social Distancing, and COVID-19
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#14884
COVID-19 and the Forces behind Social Unrest
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#13467
COVID-19, Race, and Redlining
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#13231
Deregulation in a Time of Pandemic: Does Pollution Increase Coronavirus Cases or Deaths?
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#13137
Explaining Governors' Response to the COVID-19 Pandemic in the United States
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#13649
Failing to Pull Together: South Africa's Troubled Response to COVID-19
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#14170
Home Ownership and Home Equity Promote Entrepreneurial Activity
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#13165
Impacts of Social and Economic Factors on the Transmission of Coronavirus Disease 2019 (COVID-19) in China
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#13695
Is the Cure Worse than the Disease? County-Level Evidence from the COVID-19 Pandemic in the United States
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#13293
Lockdown Strategies, Mobility Patterns and COVID-19
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#13227
Occupational Exposure to Contagion and the Spread of COVID-19 in Europe
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#13255
On the Effects of COVID-19 Safer-At-Home Policies on Social Distancing, Car Crashes and Pollution
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#13094
Projecting the Spread of COVID-19 for Germany
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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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#14710
Role of Professionalism in Response to the COVID-19 Pandemic: Does a Public Health or Medical Background Help?
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#14984
School Closures and Effective In-Person Learning during COVID-19: When, Where, and for Whom
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#13151
Should Contact Bans Be Lifted in Germany? A Quantitative Prediction of Its Effects
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#13862
The COVID-19 Pandemic and the 2020 U.S. Presidential Election
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#13351
The Political Scar of Epidemics
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#15209
What COVID-19 May Leave Behind: Technology-Related Job Postings in Canada
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#13411
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New York Times Tracking of US Reopening for States
Public Health and MedicineThe New York Times is tracking when orders to stay at home are lifted in each state, as well as when broad reopenings are allowed.
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Show Related IZA Discussion Papers using this Data Resource 2 -
NLM’s LitCovid portal
Public Health and MedicineLitCovid is a curated literature hub for tracking up-to-date scientific information about COVID-19. It is the most comprehensive resource on the PubMed.
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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).
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
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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.
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.
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Safegraph Places Weekly Patterns
Open Data and Surveys Related to COVID-19Base information such as location name, address, category, and brand association for points of interest (POIs) where people spend time or money. Place traffic and demographic aggregations that answer: how often people visit, how long they stay, where they came from, where else they go, and more. Available for ~4.4MM POI. Safegraph updates the Places dataset usually every month with the past month's openings and closings and maintains a persistent key across releases. Safegraph is only temporarily offering the Weekly Patterns dataset which is updated on a weekly basis.
Link to resource
Weekly Patterns is very similar to Safegraph's normal Patterns product with some differences:
1) Each delivery of Weekly Patterns covers one week starting Monday and ending end of day on Sunday. The data will be available three days later on Wednesday of each week.
2) In Weekly Patterns, Safegraph includes a visits by each hour column to enable to get a more detailed view of the week.
Show Related IZA Discussion Papers using this Data Resource 3 -
Survey of Acceptability of App-Based Contact Tracing in the UK, US, France, Germany and Italy
Open Data and Surveys Related to COVID-19The research project conducted a multi-country, large-scale (N = 5.995) study to measure public support for digital contact tracing of COVID-19 infections. The study measured intentions to use a contact-tracing app across different installation regimes (voluntary installation vs. automatic installation by mobile phone providers), and studied how these intentions vary across individuals and countries.
Link to resource
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The Covid Tracking Project
Open Data and Surveys Related to COVID-19The most complete data abount COVID-19 in US. Daily updates on the latest numbers on tests, confirmed cases, hospitalizations, deaths and patient outcomes from every US state and territory.
Link to resource
Show Related IZA Discussion Papers using this Data Resource 8-
#13683
Are COVID Fatalities in the US Higher Than in the EU, and If So, Why?
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#13282
COVID-19, Stay-At-Home Orders and Employment: Evidence from CPS Data
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#13160
Did California's Shelter-In-Place Order Work? Early Coronavirus-Related Public Health Effects
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#13137
Explaining Governors' Response to the COVID-19 Pandemic in the United States
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#13452
Intergenerational Residence Patterns and COVID-19 Fatalities in the EU and the US
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#13695
Is the Cure Worse than the Disease? County-Level Evidence from the COVID-19 Pandemic in the United States
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#13159
The Short-Term Economic Consequences of COVID-19: Exposure to Disease, Remote Work and Government Response
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#13190
When Do Shelter-In-Place Orders Fight COVID-19 Best? Policy Heterogeneity across States and Adoption Time
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#13683
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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.
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
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The Economist's Tracker for COVID-19 Excess Deaths
Open Data and Surveys Related to COVID-19This repository contains the data behind The Economist’s tracker for covid-19 excess deaths (which is free to read), and the code that has been used to clean, analyze and present the numbers.
Link to resource
Show Related IZA Discussion Papers using this Data Resource 1 -
The ZPID Lockdown Measures Dataset for Germany
Open Data and Surveys Related to COVID-19Longitudinal data that represent public health measures can be a fruitful data source. The data set contains data on 14 governmental measures across the 16 German federal states. In comparison to existing datasets, the data set at hand is a fine-grained daily time series tracking the effective calendar date, introduction, extension, or phase-out of each respective measure. Based on self-regulation theory, measures were coded whether they did not restrict, partially restricted or fully restricted the respective behavioral pattern. The time frame comprises March 08, 2020 until May 15, 2020. The project is an open-source, ongoing project with planned continued updates in regular (approximately monthly) intervals.
Link to resource
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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.
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Understanding America Study
Open Data and Surveys Related to COVID-19This page provides a summary of information and data from Understanding America Study surveys of attitudes and behaviors around the Novel Coronavirus pandemic in the United States. Currently two surveys are conducted, the UAS Understanding Coronavirus in America (“Covid”) Survey which includes a national bi-weekly long-form survey and a weekly Los Angeles County short-form survey. Reports, toplines, data, and documentation are provided for the full Wave 1 of the UAS Covid survey. Complete data sets for subsequent waves of the long, bi-weekly (national) and short, weekly (Los Angeles County) tracking surveys are posted here as they are completed.
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UNESCO Global Monitoring of School Closures
Open Data and Surveys Related to COVID-19UNESCO is tracking the evolution of COVID-19 caused closures of educational institutions and monitoring the policy responses deployed to mitigate impact. This includes tracking the timing and duration of closures and the number of students affected by level of education and sex. The data on closures and re-openings, as well as the number of impacted learners, are displayed on an interactive map. Updated on a weekly basis, the map shows the evolution of closures since mid-February 2020. Data on the evolution of school closures and re-openings is available for download.
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Learning Loss and Educational Inequalities in Europe: Mapping the Potential Consequences of the COVID-19 Crisis
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Lost Wages: The COVID-19 Cost of School Closures
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Public School Access or Stay-at-Home Partner: Factors Mitigating the Adverse Effects of the COVID-19 Pandemic on Academic Parents
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World Bank Education and COVID-19
Open Data and Surveys Related to COVID-19Education Systems’ Response to COVID-19: school closures related to the COVID-19 pandemic, number of children out of school, and schools reopening monitored by the World Bank Education Team.
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World Health Organization (WHO) COVID-19 Candidate Vaccine Landscape Database
Open Data and Surveys Related to COVID-19• The COVID-19 candidate vaccine landscape and tracker database compiles detailed information on COVID-19 vaccine candidates in development. Allows users to search for COVID-19 vaccines through various criteria such as vaccine platform, schedule of vaccination, route of administration, developer, trial phase and clinical endpoints.
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