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Papers of the Week


2020 Oct 26


J Med Internet Res

Identifying and Ranking Common COVID-19 Symptoms from Arabic Twitter.

Authors

Alanazi E, Alashaikh A, Alqurashi S, Alanazi A
J Med Internet Res. 2020 Oct 26.
PMID: 33119539.

Abstract

A massive amount of COVID-19 related data is generated everyday by Twitter users. Self-reports of COVID-19 symptoms on Twitter can reveal a great deal about the disease and its prevalence in the community. In particular, self-reports can be used as a valuable resource to learn more about the common symptoms and whether their order of appearance differs among different groups in the community. With sufficient available data, this has the potential of developing a COVID-19 risk-assessment system that is tailored toward specific group of people.