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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1417) Infodemiology and Infoveillance (2016) Surveillance Systems (688) Infectious Diseases (non-STD/STI) (1939)

Published on in Vol 5, No 2 (2019): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12383, first published .
Sick woman with laptop and tissues on couch

Preliminary Flu Outbreak Prediction Using Twitter Posts Classification and Linear Regression With Historical Centers for Disease Control and Prevention Reports: Prediction Framework Study

Preliminary Flu Outbreak Prediction Using Twitter Posts Classification and Linear Regression With Historical Centers for Disease Control and Prevention Reports: Prediction Framework Study

Authors of this article:

Ali Alessa1, 2 Author Orcid Image ;   Miad Faezipour1, 3 Author Orcid Image
Article Authors Cited by (42) Tweetations (7) Metrics

Journals

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  8. Mohammad Masum A, Khushbu S, Keya M, Abujar S, Hossain S. COVID-19 in Bangladesh: A Deeper Outlook into The Forecast with Prediction of Upcoming Per Day Cases Using Time Series. Procedia Computer Science 2020;178:291 View
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  10. Kaveh-Yazdy F, Zarifzadeh S. Track Iran's national COVID-19 response committee’s major concerns using two-stage unsupervised topic modeling. International Journal of Medical Informatics 2021;145:104309 View
  11. Alnazzawi N, Fiorini N. Building a semantically annotated corpus for chronic disease complications using two document types. PLOS ONE 2021;16(3):e0247319 View
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  14. Melton C, Olusanya O, Ammar N, Shaban-Nejad A. Public sentiment analysis and topic modeling regarding COVID-19 vaccines on the Reddit social media platform: A call to action for strengthening vaccine confidence. Journal of Infection and Public Health 2021;14(10):1505 View
  15. Antonio F, Itami A, Dalmedico J, Mendes R. On the dynamics of reporting data: A case study of UFO sightings. Physica A: Statistical Mechanics and its Applications 2022;603:127807 View
  16. Thakur N, Han C. An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detection. COVID 2022;2(8):1026 View
  17. Athanasiou M, Fragkozidis G, Zarkogianni K, Nikita K. Long Short-term Memory–Based Prediction of the Spread of Influenza-Like Illness Leveraging Surveillance, Weather, and Twitter Data: Model Development and Validation. Journal of Medical Internet Research 2023;25:e42519 View
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  22. Wang A, Dara R, Yousefinaghani S, Maier E, Sharif S. A Review of Social Media Data Utilization for the Prediction of Disease Outbreaks and Understanding Public Perception. Big Data and Cognitive Computing 2023;7(2):72 View
  23. Thakur N. Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox. Big Data and Cognitive Computing 2023;7(2):116 View
  24. Shi B, Huang W, Dang Y, Zhou W. Leveraging social media data for pandemic detection and prediction. Humanities and Social Sciences Communications 2024;11(1) View
  25. Babanejaddehaki G, An A, Papagelis M. Disease Outbreak Detection and Forecasting: A Review of Methods and Data Sources. ACM Transactions on Computing for Healthcare 2024 View
  26. Amin S, Zeb M, Alshahrani H, Hamdi M, Alsulami M, Shaikh A. Social Media-Based Surveillance Systems for Health Informatics Using Machine and Deep Learning Techniques: A Comprehensive Review and Open Challenges. Computer Modeling in Engineering & Sciences 2024;139(2):1167 View
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Books/Policy Documents

  1. Sathya D. , Sudha V. , Jagadeesan D. . Handbook of Research on Applications and Implementations of Machine Learning Techniques. View
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Conference Proceedings

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