MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641063715 A) filed by Aditya College Of Engineering, Madanapalle, Andhra Pradesh, on May 20, for 'an intelligent surveillance system for zoonotic diseases using distributed topic modeling and predictive analytics.'

Inventor(s) include Dr. Nagasubba Rayudu P; Dr. D. Sreenivasulu Reddy; Dr. J. Pradeep; Dr. P. Gangadhara Reddy; and Dr. M. S. G. Smitha.

The application for the patent was published on May 29, under issue no. 22/2026.

According to the abstract released by the Intellectual Property India: "An intelligent surveillance system for zoonotic diseases utilizing distributed topic modeling and predictive analytics to enable early detection, continuous monitoring, and accurate forecasting of disease outbreaks. The system integrates heterogeneous data from multiple domains, including veterinary records, human healthcare data, environmental sensors, and digital information streams such as news and social media. A distributed topic modeling framework extracts latent disease-related patterns, symptom clusters, and transmission indicators from large-scale unstructured datasets. These insights are combined with structured data and processed through advanced machine learning models to predict outbreak risks, identify high-risk regions, and estimate disease progression.The system employs edge and cloud computing architectures to support real-time processing, scalability, and efficient resource utilization. Anomaly detection mechanisms generate early warning alerts upon identifying unusual patterns, enabling rapid response and containment. Geographic information system integration provides spatial-temporal visualization of disease spread, enhancing decision-making capabilities for public health authorities.Furthermore, the system incorporates adaptive learning techniques to continuously refine predictive accuracy based on evolving data and environmental conditions. Secure data handling and privacy-preserving mechanisms ensure safe and compliant data usage. Overall, the invention provides a robust, scalable, and intelligent framework for proactive zoonotic disease surveillance, significantly improving public health preparedness, response efficiency, and global health security."

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