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.
@article{arxiv.2202.02824,
title = {A Summary of COVID-19 Datasets},
author = {Syed Raza Bashir and Shaina Raza and Vidhi Thakkar and Usman Naseem},
journal= {arXiv preprint arXiv:2202.02824},
year = {2022}
}
Comments
Accepted in CAIML 2022: International Conference on Artificial Intelligence and Machine Learning