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Unified COVID-19 Dataset

Copyright: © 2021 JHU) Credits: NASA/NIH Citation: Badr et. al 2021 License: GPL v3 GitHub Commit

This is a unified COVID-19 dataset to fulfill the following objectives:

  • Mapping all geospatial units globally into a unique standardized ID.
  • Standardizing administrative names and codes at all levels.
  • Standardizing dates, data types, and formats.
  • Unifying variable names, types, and categories.
  • Merging data from all credible sources at all levels.
  • Cleaning the data and fixing confusing entries.
  • Integrating hydrometeorological variables at all levels.
  • Integrating population-weighted hydrometeorological variables.
  • Integrating air quality, comorbidities, WorldPop, and other static data.
  • Integrating policy data from Oxford government response tracker.
  • Integrating an augmented version from all sources (future releases).
  • Optimizing the data for machine learning applications.

Coverage Map

COVID-19 Coverage

Geospatial ID

COVID-19 ID

Note that COVID-19 data for some European countries from Johns Hopkins University (JHU) Center for Systems Science and Engineering (CSSE) are reported in the global daily reports at province level, which will be replaced by higher-resolution data at NUTS 0-3 levels.

COVID-19 Data Structure

Column Type Description
ID Character Geospatial ID, unique identifier
Date Date Date of data record
Cases Integer Number of cumulative cases
Cases_New Integer Number of new daily cases
Type Character Type of the reported cases
Age Character Age group of the reported cases
Sex Character Sex/gender of the reported cases
Source Character Data source: JHU, CTP, NYC, NYT, SES, DPC, RKI, JRC

Case Types

Type Description
Active Active cases
Confirmed Confirmed cases
Deaths Deaths
Home_Confinement Home confinement / isolation
Hospitalized Total hospitalized cases excluding intensive care units
Hospitalized_Now Currently hospitalized cases excluding intensive care units
Hospitalized_Sym Symptomatic hospitalized cases excluding intensive care units
ICU Total cases in intensive care units
ICU_Now Currently in intensive care units
Negative Negative tests
Pending Pending tests
Positive Positive tests, including hospitalised cases and home confinement
Positive_Dx Positive cases emerged from clinical activity / diagnostics
Positive_Sc Positive cases emerging from surveys and tests
Recovered Recovered cases
Tested Cases tested = Tests - Pending
Tests Total performed tests
Ventilator Total cases receiving mechanical ventilation
Ventilator_Now Currently receiving mechanical ventilation

Lookup Table

Lookup Table

Static Data Structure

Static Data README

Hydromet Data Structure

Hydromet README

Policy Data Structure

Policy README

Data Sources

Source Description Level
JHU Johns Hopkins University CSSE Global & County/State, United States
CTP The COVID Tracking Project State, United States
NYC New York City Department of Health and Mental Hygiene ZCTA/Borough, New York City
NYT The New York Times County/State, United States
SES Monitoring COVID-19 Cases and Deaths in Brazil Municipality/State/Country, Brazil
DPC Italian Civil Protection Department NUTS 0-3, Italy
RKI Robert Koch-Institut, Germany NUTS 0-3, Germany
JRC Joint Research Centre Global & NUTS 0-3, Europe
ERA5 The fifth generation of ECMWF reanalysis All levels
NLDAS North American Land Data Assimilation System County/State, United States
CIESIN C. for International Earth Science Information Net. Global gridded population
OxCGRT Oxford COVID-19 Government Response Tracker National (global) & subnational (US, UK)

Credits

This work is supported by NASA Health & Air Quality project 80NSSC18K0327, under a COVID-19 supplement, and National Institute of Health (NIH) project 3U19AI135995-03S1 ("Consortium for Viral Systems Biology (CViSB)"; Collaboration with The Scripps Research Institute and UCLA).

Citation

To cite this dataset:

Badr, H. S., B. F. Zaitchik, G. H. Kerr, J. M. Colston, P. Hinson, Y. Chen, N. H. Nguyen, M. Kosek, H. Du, E. Dong, M. Marshall, K. Nixon, and L. M. Gardner, 2021: Unified COVID-19 Dataset.

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