Inter-ministerial study to track zoonotic spillover risks in India
Public Health

Inter-ministerial study to track zoonotic spillover risks in India

One Health-based surveillance model to focus on bird sanctuaries and high-risk human populations

  • By IPP Bureau | April 17, 2026

India recently announced a first-of-its-kind inter-ministerial scientific initiative to detect and prevent zoonotic disease spillovers at the human-animal-environment interface, marking a significant step toward strengthening national health security.

Led by the Indian Council of Medical Research under the broader National One Health Mission, the study will focus on bird sanctuaries and wetlands across Sikkim, Maharashtra, and Tamil Nadu—regions identified as high-risk zones due to increased interaction between humans and migratory birds. 

The project aims to develop a real-time surveillance system capable of early detection and diagnosis of zoonotic diseases among bird sanctuary workers and nearby communities. It will involve periodic sampling of avian species and environmental specimens, supported by advanced tools such as Next Generation Sequencing (NGS) to identify emerging pathogens at an early stage. 

Senior health officials underscored the importance of shifting from reactive outbreak response to proactive preparedness. The initiative brings together multiple ministries, including the Ministry of Health and Family Welfare, Ministry of Environment, Forest and Climate Change, and Ministry of Agriculture, reflecting a coordinated national approach to tackling zoonotic threats. 

With India positioned along the Central Asian migratory bird flyway, the risk of pathogen transmission between wildlife and humans remains a critical concern. The study is expected to establish an early warning system for zoonotic spillovers, enhancing the country’s ability to anticipate and mitigate future public health risks. 

The initiative reinforces India’s commitment to the One Health approach, integrating human, animal, and environmental health to build more resilient and responsive disease surveillance systems.

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