Epidemic Prediction and Management Web Application

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.

Authors

Publication Details

Journal
International Journal of Science and Research (IJSR)
Published
2025-04-19
DOI
https://doi.org/10.21275/sr25416165540
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
0.00
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article

Epidemic Prediction and Management Web Application

Shyma Kareem, P S Abhiya
International Journal of Science and Research (IJSR)
Data-Driven Disease Surveillance
article

Epidemic Prediction and Management Web Application

Shyma Kareem, P S Abhiya
article en

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.

International Journal of Science and Research (IJSR)Vol. 14(4)
Good health and well-being
Openalex Percentile: Top 88%
Data-Driven Disease Surveillance
DOIOpen Access PDFOpenAlex
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Epidemic Prediction and Management Web Application — Shyma Kareem, P S Abhiya · International Journal of Science and Research (IJSR) (2025) | TGRS Research Map | TGRS