India to Adopt AI-Driven Predictive Model for Disease Surveillance: NCDC

The National Centre for Disease Control (NCDC) has announced a major shift from traditional disease-tracking methods to an advanced predictive surveillance model powered by artificial intelligence (AI), real-time data analytics and digital intelligence systems. The initiative aims to significantly strengthen India’s public health security by anticipating potential outbreaks before they occur. Officials stated that the new model will integrate AI-based surveillance, laboratory data, climatic trends, population movement patterns and digital diagnostics to forecast outbreak trajectories with greater precision.

According to experts at the NCDC, the move builds on the AI-enabled infrastructure already functioning under the Integrated Health Information Platform (IHIP) of the Integrated Disease Surveillance Programme (IDSP). The Media Scanning and Verification Cell (MSVC) has been using an AI-powered pipeline that scans millions of news reports in 13 Indian languages, extracting structured health-event information such as disease type, location and scale. Since 2022, it has processed more than 300 million articles and flagged over 95,000 unique health-related events, laying the foundation for a more proactive surveillance ecosystem.

Officials said the shift to predictive disease intelligence will enable authorities to identify early warning signals even before clinical symptoms appear, allowing faster mobilisation of resources and targeted mitigation at the district level. This transformation is being further strengthened by the newly established Metropolitan Surveillance Units (MSUs) under the Pradhan Mantri Ayushman Bharat Health Infrastructure Mission (PM-ABHIM), which have already demonstrated strong real-time surveillance capabilities across major urban centres.

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