Governments in the world including India operate in verticals with minimal to no inter-sectoral collaboration between departments. In addition, policies pertaining to the general welfare of the population require real-time ground scenario analysis which seldom happens. While several factors (International/National/Community-level) could play a role in the success or failure of any programme, policy makers globally need to be equipped with systems that can collate, process, and analyze data in real-time for effective monitoring and path corrective strategies.

One Health is an integrated, unifying approach that aims to sustainably balance and optimize the health of people, animals, and ecosystems. It recognizes that the health of humans, domestic and wild animals, plants, and the wider environment (including ecosystems) are closely linked and interdependent.

Data systems can be leveraged to bring in holistic and data-driven planning across sectors. AI/ML models can be utilized to build scenarios and simulations to test policies based on real-time data in order to map efficiency and challenges if any. While, models can simulate only based on the inputs of the data received, it’s prudent to also mention that such systems offer support but not completely replace human judgement and decision-making.