COVID-19 Open Source Data Sets: A Comprehensive Survey

Abstract

In December 2019, a novel virus named COVID-19 emerged in the city of Wuhan, China. In early 2020, the COVID-19 virus spread in all continents of the world except Antarctica causing widespread infections and deaths due to its contagious characteristics and no medically proven treatment. The COVID-19 pandemic has been termed as the most consequential global crisis after the World Wars. The first line of defense against the COVID-19 spread are the non-pharmaceutical measures like social distancing and personal hygiene. The great pandemic affecting billions of lives economically and socially has motivated the scientific community to come up with solutions based on computer-aided digital technologies for diagnosis, prevention, and estimation of COVID-19. Some of these efforts focus on statistical and Artificial Intelligence-based analysis of the available data concerning COVID- 19. All of these scientific efforts necessitate that the data brought to service for the analysis should be open source to promote the extension, validation, and collaboration of the work in the fight against the global pandemic. Our survey is motivated by the open source efforts that can be mainly categorized as (a) COVID-19 diagnosis from CT scans, X-ray images, and cough sounds, (b) COVID-19 case reporting, transmission estimation, and prognosis from epidemiological, demographic, and mobility data, (c) COVID-19 emotional and sentiment analysis from social media, and (d) knowledge-based discovery and semantic analysis from the collection of scholarly articles covering COVID-19. We survey and compare research works in these directions that are accompanied by open source data and code. Future research directions for data-driven COVID-19 research are also debated. We hope that the article will provide the scientific community with an initiative to start open source extensible and transparent research in the collective fight against the COVID-19 pandemic.

WITHDRAWN: Classification of covid related articles using machine learning

“…CovidQA, a question-answering dataset was developed for covid 19 [8] . Shuja et al [9] have formulated research domain taxonomy and identified features of datasets concerning the type, methods, application. Santos et al [10] presented a dataset on COVID-19 in which research activities overview was provided so that it would be easy to find scientists and researchers who are active in the task of combating the disease.…”

Applications of artificial intelligence in battling against covid-19: A literature review

“…In [637] , a public covid-19 X-Ray image data collection is presented in which the frontal and lateral view imagery and metadata such as the time since the first symptoms, ICU status, survival status, intubation status and hospital location are recorded. A survey on the existing open datasts are available in [638] . In [639] some open datasets for monitoring, modeling and forecasting the epidemic is provided.…”

An Open-Source COVID-19 CT Dataset with Automatic Lung Tissue Classification for Radiomics

“…On the other hand, several institutions that own large collections of high-quality scans are often not inclined to anonymously share the data. As a result, in spite of some recent efforts in the literature [4,5], public COVID-19 CT datasets are still mostly limited in size and quality [6][7][8]. The lack of large and high-quality datasets in the field hampers the development and translation of the medical image analysis methodology developed in actual clinical practice.…”