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Published on 14.12.20 in Vol 22, No 12 (2020): December

This paper is in the following e-collection/theme issue:

    Corrigenda and Addenda

    Correction: Identifying and Ranking Common COVID-19 Symptoms From Tweets in Arabic: Content Analysis

    1Center of Innovation and Development in Artificial Intelligence, Umm Al-Qura University, Makkah, Saudi Arabia

    2University of Jeddah, Jeddah, Saudi Arabia

    Corresponding Author:

    Eisa Alanazi, BSc, MSc, PhD

    Center of Innovation and Development in Artificial Intelligence

    Umm Al-Qura University

    Prince Sultan Road

    Makkah, 11343

    Saudi Arabia

    Phone: 966 55 601 4171

    Email: eaanazi@uqu.edu.sa



    In “Identifying and Ranking Common COVID-19 Symptoms From Tweets in Arabic: Content Analysis” (J Med Internet Res 2020;22(11):e21329) one error was noted.

    This article was originally published with a layout error causing two inline figures representing Arabic keywords to appear as regular figures in the first paragraph of the Methods section. The sentence where these inline figures should have appeared read as follows:

    First, we searched Twitter for personal reports of COVID-19 from March 1, 2020, to May 27, 2020, using 2 Arabic keywords Inline Figure 6 and Inline Figure 6, which translate roughly to “I have been diagnosed.”

    This has been corrected to place the two inline figures within this sentence instead of the words “Inline Figure 6” in each instance.

    The correction will appear in the online version of the paper on the JMIR Publications website on December 14, 2020, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

    Edited by G Eysenbach; This is a non–peer-reviewed article. submitted 11.12.20; accepted 11.12.20; published 14.12.20

    ©Eisa Alanazi, Abdulaziz Alashaikh, Sarah Alqurashi, Aued Alanazi. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 14.12.2020.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.