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Table 1 Data sources formatted to the Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM) used in this research (data type: claims, electronic health/medical records (EHR/EMR), general practitioner (GP))

From: Seek COVER: using a disease proxy to rapidly develop and validate a personalized risk calculator for COVID-19 outcomes in an international network

Database

Database

Acronym

Country

Data type

Contains COVID-19 data?

Time period

Columbia University Irving Medical Center Data Warehouse

CUIMC

United States

EMR

Yes

Influenza: 1990-2020

COVID-19: March-April 2020

Health Insurance and Review Assessment

HIRA

South Korea

Claims

Yes

COVID-19: 1st January-

4th April 2020

The Information System for Research in Primary Care

SIDIAP

Spain

GP and hospital admission EHRs linked

Yes

Influenza: 2006-2017

COVID-19: March 2020

Tufts Research Data Warehouse

TRDW

United States

EMR

Yes

Influenza: 2006-2020

COVID-19: March 2020

Department of Veterans Affairs

VA

United States

EMR

Yes

Influenza: 2009-2010,

2014-2019

COVID-19: 1st March-

20th April

Optum© De-Identified ClinFormatics® Data Mart Databasea

ClinFormatics

United States

Claims

No

2000-2018

Ajou University School of Medicine Database

AUSOM

South Korea

EHR

No

1996 - 2018

Australian Electronic Practice based Research Network

AU-ePBRN

Australia

GP and hospital admission EHRs linked

No

2012-2019

IBM MarketScan® Commercial Database

CCAE

United States

Claims

No

2000-2018

Integrated Primary Care Information

IPCI

Netherlands

GP

Yes

2006-2020

Japan Medical Data Center

JMDC

Japan

Claims

No

2005-2018

IBM MarketScan® Multi-State Medicaid Database

MDCD

United States

Claims

No

2006-2017

IBM MarketScan® Medicare Supplemental Database

MDCR

United States

Claims

No

2000-2018

Optum© de-identified Electronic Health Record Dataset

Optum EHR

United States

EHR

No

2006-2018

  1. aDevelopment database