A Summary of COVID-19 Datasets
Syed Raza Bashir, Shaina Raza, Vidhi Thakkar, Usman Naseem

TL;DR
This paper reviews and summarizes key publicly available COVID-19 datasets from various sources to facilitate research and policy-making in health systems and pandemic management.
Contribution
It provides a comprehensive overview of COVID-19 datasets, making them more accessible for researchers and policymakers to support health system analysis.
Findings
Compilation of major COVID-19 datasets from different organizations
Identification of sources and types of datasets available
Facilitation of data access for research and policy development
Abstract
This research presents a review of main datasets that are developed for COVID-19 research. We hope this collection will continue to bring together members of the computing community, biomedical experts, and policymakers in the pursuit of effective COVID-19 treatments and management policies. Many organizations, such as the World Health Organization (WHO), John Hopkins, National Institute of Health (NIH), COVID-19 open science table4 and such, in the world, have made numerous datasets available to the public. However, these datasets originate from a variety of different sources and initiatives. The purpose of this research is to summarize the open COVID-19 datasets to make them more accessible to the research community for health systems design and analysis.
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Taxonomy
TopicsArtificial Intelligence in Healthcare · COVID-19 diagnosis using AI · Machine Learning in Healthcare
