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

JMIR Theme Issue: COVID-19 Special Issue (2500) Infodemiology and Infoveillance (1468) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1800) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1089) Outbreak and Pandemic Preparedness and Management (1784) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1532)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2020.06.10.20127225v1, first published .
Identifying and Ranking Common COVID-19 Symptoms From Tweets in Arabic: Content Analysis

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

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

Authors of this article:

Eisa Alanazi1 Author Orcid Image ;   Abdulaziz Alashaikh2 Author Orcid Image ;   Sarah Alqurashi1 Author Orcid Image ;   Aued Alanazi1 Author Orcid Image
Article Authors Cited by (17) Tweetations (14) Metrics

Journals

  1. Al-Laith A, Alenezi M. Monitoring People’s Emotions and Symptoms from Arabic Tweets during the COVID-19 Pandemic. Information 2021;12(2):86 View
  2. Jong W, Liang O, Yang C. The Exchange of Informational Support in Online Health Communities at the Onset of the COVID-19 Pandemic: Content Analysis. JMIRx Med 2021;2(3):e27485 View
  3. Alsudias L, Rayson P. Social Media Monitoring of the COVID-19 Pandemic and Influenza Epidemic With Adaptation for Informal Language in Arabic Twitter Data: Qualitative Study. JMIR Medical Informatics 2021;9(9):e27670 View
  4. Bastani P, Hakimzadeh S, Bahrami M. Designing a conceptual framework for misinformation on social media: a qualitative study on COVID-19. BMC Research Notes 2021;14(1) View
  5. Tshitangano T, Setati M, Mphekgwana P, Ramalivhana N, Matlala S. Epidemiological Characteristics of COVID-19 Inpatient Deaths during the First and Second Waves in Limpopo Province, South Africa. Journal of Respiration 2022;2(2):111 View
  6. Luo L, Wang Y, Mo D. Identifying COVID-19 Personal Health Mentions From Tweets Using Masked Attention Model. IEEE Access 2022;10:59068 View
  7. Alswedani S, Katib I, Abozinadah E, Mehmood R. Discovering Urban Governance Parameters for Online Learning in Saudi Arabia During COVID-19 Using Topic Modeling of Twitter Data. Frontiers in Sustainable Cities 2022;4 View
  8. Elsaka T, Afyouni I, Hashem I, Al Aghbari Z. Spatio-Temporal Sentiment Mining of COVID-19 Arabic Social Media. ISPRS International Journal of Geo-Information 2022;11(9):476 View
  9. Wu J, Wang L, Hua Y, Li M, Zhou L, Bates D, Yang J. Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study. Journal of Medical Internet Research 2023;25:e45419 View
  10. Hou J, Liang C, Chen P. How Socially Perceived Threat Shapes Preventive Behavior in the Context of COVID-19. Production and Operations Management 2024 View
  11. Afyouni I, Hashim I, Aghbari Z, Elsaka T, Almahmoud M, Abualigah L. Insights from the COVID-19 Pandemic: A Survey of Data Mining and Beyond. Applied Spatial Analysis and Policy 2024;17(3):1359 View
  12. Bishal M, Chowdory M, Das A, Kabir M. COVIDHealth: A novel labeled dataset and machine learning-based web application for classifying COVID-19 discourses on Twitter. Heliyon 2024;10(14):e34103 View
  13. Valades M, Montero-Torres M, Lara-Abelenda F, Carabot F, Ortega M, Álvarez-Mon M, Alvarez-Mon M. Understanding public perceptions and discussions on diseases involving chronic pain through social media: cross-sectional infodemiology study. BMC Musculoskeletal Disorders 2024;25(1) View
  14. Nuuyoma V, Makambuli F. Nursing students in isolation during the COVID-19 pandemic: A phenomenological study. Health SA Gesondheid 2025;30 View

Books/Policy Documents

  1. Elsaka T, Afyouni I, Hashem I, AL-Aghbari Z. Discovery Science. View

Conference Proceedings

  1. Elsaka T, Afyouni I, Hashem I, Al Aghbari Z. Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology (SpatialEpi 2021). Correlation Analysis of Spatio-temporal Arabic COVID-19 Tweets View
  2. Hamoui B, Alashaikh A, Sherif A, Alanazi E, Nabil M, Alsmary W. 2021 3rd IEEE Middle East and North Africa COMMunications Conference (MENACOMM). Google Searches and COVID-19 Cases in Saudi Arabia: A Correlation Study View