An Integrated Web Application for Epidemic Prediction

Authors

  • Sir Hrishi Mukherjee Department of Computer Applications, Musaliar College of Engineering and Technology, Pathanamthitta, Kerala, India
  • Narpat Singh Professor, Department of Computer Applications, Musaliar College of Engineering and Technology, Pathanamthitta, Kerala, India

DOI:

https://doi.org/10.66069/ojspub.16560906

Keywords:

Epidemic prediction, Machine learning, public health management, Real-time analytics

Abstract

The epidemic prediction and management web application aids public health agencies by utilizing machine learning to analyze historical data, environmental factors, and real-time health reports for predicting disease spread and identifying high-risk regions. With a user-friendly interface and real-time decision support, the system empowers health officials to take timely preventive actions, minimizing the social and economic impact of outbreaks.

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Published

2026-09-26

How to Cite

Mukherjee, S. H., & Singh, N. (2026). An Integrated Web Application for Epidemic Prediction. Journal of Research in Science and Engineering, 8(9), 23–25. https://doi.org/10.66069/ojspub.16560906

Issue

Vol. 8 No. 9 (2026)

Section

Articles

License

Copyright (c) 2026 Sir Hrishi Mukherjee, Narpat Singh

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


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