Spatiotemporal Disease Spread Modelling and Intervention Efficacy Estimation: AI-Based Predictive Analytics for Epidemiological Modelling and Public Health Planning

Authors

  • Amira El-Shafei Associate Professor of Computer Science, Ain Shams University Author

Keywords:

spatiotemporal disease spread modelling, intervention efficacy estimation, predictive analytics, epidemiological modelling, machine learning

Abstract

Epidemiological modeling, the development of software models of infectious disease spread and their application to specific diseases, assists in the control and prevention of infectious disease in multiple ways. It seeks to facilitate basic scientific understanding of disease, estimate and track the epidemiological burden of disease, and investigate the likely impacts of potential interventions. It also provides a relative assessment of the quality of the evidence regarding diseases.

Readership Data

🌐

Refreshing Cached Analytics Data

The cached analytics data has become stale and www.thesciencebrigade.com is making a fresh request to fetch the latest data from Google Analytics. This may take 20-30 seconds depending on the server response time from Google Analytics. Please do not close the browser during this time. We appreciate your patience.

Downloads

Download data is not yet available.

Downloads

Published

31-08-2025

How to Cite

“Spatiotemporal Disease Spread Modelling and Intervention Efficacy Estimation: AI-Based Predictive Analytics for Epidemiological Modelling and Public Health Planning”. Journal of Science & Technology, vol. 6, no. 4, Aug. 2025, pp. 13-21, https://www.thesciencebrigade.com/jst/article/view/708.

Plaudit