India set to use AI to predict disease outbreaks before they spread | India News

NEW DELHI: India is set to deploy artificial intelligence (AI) to predict outbreaks of everyday illnesses — dengue, chikungunya, influenza, diarrhoea and other public health threats— well before they begin spreading in neighbourhoods. Officials say this marks a major shift from the current system, which often picks up outbreaks only after hospitals start seeing a surge in patients.At the National Centre for Disease Control (NCDC), an AI-driven system already scans millions of news reports daily in 13 Indian languages, flagging unusual health signals — a spike in fever cases, reports of diarrhoea in a locality, or rising mosquito breeding. Since 2022, it has analysed over 300 million reports and identified 95,000 early health events, a scale impossible under manual surveillance.This next phase goes further. India’s new predictive model will fuse data from weather patterns, hospital records, lab results, and population movement to forecast risks even before the first patient walks into a clinic. If indicators point to a likely dengue surge after heavy rains or a flu wave following a temperature dip, alerts will go straight to state and district teams for pre-emptive action.Health experts say that because many diseases follow seasonal and environmental patterns, AI-led forecasting could allow authorities to stock medicines, prepare hospitals, spray mosquito hotspots and check water contamination in advance — cutting transmission before it begins.The system has already shown its value. When suspected Acute Encephalitis Syndrome (AES) cases were reported in Chhindwara, Madhya Pradesh, the Metropolitan Surveillance Unit in Nagpur flagged it immediately, enabling rapid coordination among central agencies and state teams. Officials say such real-time responses will only strengthen as predictive tools expand.According to NCDC, the shift signals a larger national move toward data-driven, anticipatory disease control, replacing the old pattern of reacting only after outbreaks escalate. “With AI and real-time information, we can see where risks are rising before people fall ill,” a senior official said.For citizens, officials say, this means faster alerts, quicker containment and fewer seasonal disruptions as authorities act earlier and more precisely.As one official summed up, India is moving from reactive to proactive — and the future of disease surveillance will be early, intelligent and predictive.