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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1141) Infodemiology and Infoveillance (1561) Infectious Diseases (non-STD/STI) (1727) Surveillance Systems (514)

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 .
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

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 (38) Tweetations (7) Metrics

Journals

  1. López Seguí F, Ander Egg Aguilar R, de Maeztu G, García-Altés A, García Cuyàs F, Walsh S, Sagarra Castro M, Vidal-Alaball J. Teleconsultations between Patients and Healthcare Professionals in Primary Care in Catalonia: The Evaluation of Text Classification Algorithms Using Supervised Machine Learning. International Journal of Environmental Research and Public Health 2020;17(3):1093 View
  2. Fagherazzi G, Goetzinger C, Rashid M, Aguayo G, Huiart L. Digital Health Strategies to Fight COVID-19 Worldwide: Challenges, Recommendations, and a Call for Papers. Journal of Medical Internet Research 2020;22(6):e19284 View
  3. Asghari M, Sierra-Sosa D, Elmaghraby A. A topic modeling framework for spatio-temporal information management. Information Processing & Management 2020;57(6):102340 View
  4. Amin S, Uddin M, Hassan S, Khan A, Nasser N, Alharbi A, Alyami H. Recurrent Neural Networks With TF-IDF Embedding Technique for Detection and Classification in Tweets of Dengue Disease. IEEE Access 2020;8:131522 View
  5. Budhwani H, Sun R. Creating COVID-19 Stigma by Referencing the Novel Coronavirus as the “Chinese virus” on Twitter: Quantitative Analysis of Social Media Data. Journal of Medical Internet Research 2020;22(5):e19301 View
  6. Amin S, Uddin M, Zeb M, Alarood A, Mahmoud M, Alkinani M. Detecting Dengue/Flu Infections Based on Tweets Using LSTM and Word Embedding. IEEE Access 2020;8:189054 View
  7. Kafieh R, Saeedizadeh N, Arian R, Amini Z, Serej N, Vaezi A, Javanmard S. Isfahan and Covid-19: Deep spatiotemporal representation. Chaos, Solitons & Fractals 2020;141:110339 View
  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
  9. Asadzadeh A, Pakkhoo S, Saeidabad M, Khezri H, Ferdousi R. Information technology in emergency management of COVID-19 outbreak. Informatics in Medicine Unlocked 2020;21:100475 View
  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
  12. Amin S, Uddin M, alSaeed D, Khan A, Adnan M, Aziz F. Early Detection of Seasonal Outbreaks from Twitter Data Using Machine Learning Approaches. Complexity 2021;2021(1) View
  13. Khalil R, Saeed N, Masood M, Fard Y, Alouini M, Al-Naffouri T. Deep Learning in the Industrial Internet of Things: Potentials, Challenges, and Emerging Applications. IEEE Internet of Things Journal 2021;8(14):11016 View
  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
  18. Gour A, Aggarwal S, Kumar S. Lending ears to unheard voices: An empirical analysis of user‐generated content on social media. Production and Operations Management 2022;31(6):2457 View
  19. Mokhberi M, Biswas A, Masud Z, Kteily-Hawa R, Goldstein A, Gillis J, Rayana S, Ahmed S. Development of a COVID-19–Related Anti-Asian Tweet Data Set: Quantitative Study. JMIR Formative Research 2023;7:e40403 View
  20. Chumachenko T, Chumachenko D. SIMULATION OF EPIDEMIC PROCESSES: A REVIEW OF MODERN METHODS, MODELS AND APPROACHES. Inter Collegas 2022;9(1):66 View
  21. Albalawi U, Mustafa M. Current Artificial Intelligence (AI) Techniques, Challenges, and Approaches in Controlling and Fighting COVID-19: A Review. International Journal of Environmental Research and Public Health 2022;19(10):5901 View
  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
  27. Gomez L, Malysheva N, Pfeil J, Yang Z, Bütow S, Irrgang C, Körber N, Hattab G, Kühnert D, Ladewig K. Holistic forecasting for future pandemics: a review of pathogens, models, and data. Discover Public Health 2025;22(1) View
  28. Liscano Y, Anillo Arrieta L, Montenegro J, Prieto-Alvarado D, Ordoñez J. Early Warning of Infectious Disease Outbreaks Using Social Media and Digital Data: A Scoping Review. International Journal of Environmental Research and Public Health 2025;22(7):1104 View

Books/Policy Documents

  1. Sathya D. , Sudha V. , Jagadeesan D. . Handbook of Research on Applications and Implementations of Machine Learning Techniques. View
  2. Patel J, Urolagin S. Advances in Machine Learning and Computational Intelligence. View
  3. Sathya D. , Sudha V. , Jagadeesan D. . Research Anthology on Machine Learning Techniques, Methods, and Applications. View
  4. Nazeer S, Yayavaram P, Anbarasi L. Computer Vision and Machine Intelligence Paradigms for SDGs. View
  5. Kazi J. Python Essentials for Biomedical Data Analysis: An Introductory Textbook. View

Conference Proceedings

  1. Jayawardhana B, Rajapakse R. 2020 2nd International Conference on Advancements in Computing (ICAC). A Deep Learning Approach to Outbreak related Tweet Detection View
  2. Khotimah P, Latifah A, Syafarina I, Shabrina A, Nugraheni E, Rozie A. Proceedings of the 2021 International Conference on Computer, Control, Informatics and Its Applications. COVID-19 vs media: Time series data analysis towards media and COVID-19 epidemic data View
  3. Li L, Culotta A, Harris D, Mattei N. Proceedings of the ACM Web Conference 2023. Online Reviews Are Leading Indicators of Changes in K-12 School Attributes View
  4. Alessa A. 2023 4th International Conference on Artificial Intelligence, Robotics and Control (AIRC). Loan Requests Classification Using Artificial Intelligence View
  5. Kashmar N, Ozdemir D, Yousuf I, Dabboussi A, Saab A, Salem-Sokhn E, El Morr C. 2025 International Conference on Control, Automation, and Instrumentation (IC2AI). Enhancing Epidemic Early Warning Systems with Social Media Data View