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

JMIR Theme Issue: COVID-19 Special Issue (2554) Machine Learning (2076) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1542) Infectious Diseases (non-STD/STI) (1726) Outbreak and Pandemic Preparedness and Management (1826) Artificial Intelligence (2129) Innovative Methods in Public Health and Surveillance (383) Surveillance Systems (514)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24285, first published .
Real-time Prediction of the Daily Incidence of COVID-19 in 215 Countries and Territories Using Machine Learning: Model Development and Validation

Real-time Prediction of the Daily Incidence of COVID-19 in 215 Countries and Territories Using Machine Learning: Model Development and Validation

Real-time Prediction of the Daily Incidence of COVID-19 in 215 Countries and Territories Using Machine Learning: Model Development and Validation

Authors of this article:

Yuanyuan Peng1 Author Orcid Image ;   Xinjian Chen2 Author Orcid Image ;   Yibiao Rong3 Author Orcid Image ;   Chi Pui Pang2, 4 Author Orcid Image ;   Xinjian Chen1 Author Orcid Image ;   Haoyu Chen2 Author Orcid Image
Article Authors Cited by (23) Tweetations (3) Metrics

Journals

  1. Ma M. COVID-19 concerns in cyberspace predict human reduced dispersal in the real world: Meta-regression analysis of time series relationships across American states and 115 countries/territories. Computers in Human Behavior 2022;127:107059 View
  2. Segall R, Sankarasubbu V. Survey of Recent Applications of Artificial Intelligence for Detection and Analysis of COVID-19 and Other Infectious Diseases. International Journal of Artificial Intelligence and Machine Learning 2022;12(2):1 View
  3. Yu T, Zhang Z, Liu M, Zhao Z, Shi Z, Zhang S. Prediction of the wave–current forces acting on a composite bucket foundation using machine learning method. Ocean Engineering 2022;250:111068 View
  4. Pakhchanian H, Raiker R, Kardeş S, Bilal M, Alam K, Khan A, Hutson W, Thakkar S, Singh S. Impact of COVID-19 on interest in hepato-pancreato-biliary diseases. Environmental Science and Pollution Research 2022;29(4):5771 View
  5. Jin W, Dong S, Yu C, Luo Q. A data-driven hybrid ensemble AI model for COVID-19 infection forecast using multiple neural networks and reinforced learning. Computers in Biology and Medicine 2022;146:105560 View
  6. Saegner T, Austys D. Forecasting and Surveillance of COVID-19 Spread Using Google Trends: Literature Review. International Journal of Environmental Research and Public Health 2022;19(19):12394 View
  7. 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
  8. Kellner D, Lowin M, Hinz O. Improved healthcare disaster decision-making utilizing information extraction from complementary social media data during the COVID-19 pandemic. Decision Support Systems 2023;172:113983 View
  9. Qasem S. A novel honey badger algorithm with multilayer perceptron for predicting COVID-19 time series data. The Journal of Supercomputing 2024;80(3):3943 View
  10. Clark E, Neumann S, Hopkins S, Kostopoulos A, Hagerman L, Dobbins M. Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review. JMIR Public Health and Surveillance 2024;10:e49185 View
  11. Ariza-Colpas P, Piñeres-Melo M, Urina-Triana M, Barceló-Martinez E, Barceló-Castellanos C, Roman F. Machine Learning Applied to the Analysis of Prolonged COVID Symptoms: An Analytical Review. Informatics 2024;11(3):48 View
  12. Wang J, Yang Z, Chen C, Yao G, Wan X, Bao S, Ding J, Wang L, Jiang H. MPEK: a multitask deep learning framework based on pretrained language models for enzymatic reaction kinetic parameters prediction. Briefings in Bioinformatics 2024;25(5) View
  13. Arai T, Tsubaki H, Wakano A, Shimizu Y. Association Between School-Related Google Trends Search Volume and Suicides Among Children and Adolescents in Japan During 2016-2020: Retrospective Observational Study With a Time-Series Analysis. Journal of Medical Internet Research 2024;26:e51710 View
  14. Zhang K, Min Z, Hao X, Henning T, Huang W. Enhancing understanding of asphalt mixture dynamic modulus prediction through interpretable machine learning method. Advanced Engineering Informatics 2025;65:103111 View
  15. Kurniawan D, Mutiarin D, Nurmandi A, Purnomo E. Interoperable organisations in crisis: Supporting data surveillance during Indonesia's COVID-19 pandemic. Information Development 2025 View
  16. Cheng Y, Cheng R, Xu T, Tan X, Bai Y. Machine Learning Techniques Applied to COVID-19 Prediction: A Systematic Literature Review. Bioengineering 2025;12(5):514 View
  17. Wang J, Zhao Y, Yang Z, Yao G, Han P, Liu J, Chen C, Zan P, Wan X, Bo X, Jiang H. IECata: interpretable bilinear attention network and evidential deep learning improve the catalytic efficiency prediction of enzymes. Briefings in Bioinformatics 2025;26(3) View
  18. Lei Y, Liu R, Yu H, Xu W, Long T, Mei H. TCNeKP: A Novel Deep Learning Architecture for Enzyme Catalytic Activity Prediction. Journal of Chemical Information and Modeling 2025;65(20):10977 View
  19. Chang Y, Chen J, Chen X, Wu Y, Tang H, Wu G, Sun J, Liao Y, Chen H, Cai S, Hao Y, Zhang W, Du Z. Developing predictive models for COVID-19 positive tests based on the XGBoost and random forest algorithms with internet search data. BMC Public Health 2025;25(1) View

Books/Policy Documents

  1. Segall R. Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning. View
  2. Wang C, Zhang M. GeoAI and Human Geography. View

Conference Proceedings

  1. Ramesh P, Jothi J. 2022 International Conference on Engineering and Emerging Technologies (ICEET). Predicting Covid-19 Cases for 12 Countries using Long Short-Term Memory View
  2. Abisado M, Rodriguez R, Manuel R, Pacis M, Bautista M, Fabito B, Magtira M, Malolos J. 2025 8th International Conference on Information and Computer Technologies (ICICT). Public Health in the Digital Era: Insights in the Lens of Bibliometric Analysis of Artificial Intelligence in Social Media for Health Monitoring View