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How AI Reveals H5N1's Path to Humans—And How to Stop It

Indian scientists are using a powerful AI tool to understand a major health threat. Their model shows exactly how the dangerous H5N1 bird flu could start spreading to people. The research highlights that acting early, like culling infected birds, is crucial to stop an outbreak. Once the virus spreads widely in communities, only drastic measures like lockdowns would remain.

Key Points: Indian AI Model Shows How Bird Flu H5N1 Can Jump to Humans

  • AI model BharatSim maps the two-step spillover from birds to humans
  • Study finds culling birds is most effective before human infection
  • South Asia's poultry markets are a predicted hotspot for initial outbreak
  • Early isolation and quarantine can limit spread after primary infection
3 min read

Indian researchers tap AI model to show how H5N1 can jump to humans

Indian researchers use the BharatSim AI model to decode how the deadly H5N1 bird flu virus could spill over from birds to humans and trigger outbreaks.

"Once community transmission takes over, cruder public-health measures such as lockdowns... are the only options left. — Philip Cherian & Gautam I. Menon, Ashoka University"

New Delhi, Dec 18

Even as the bird flu virus H5N1 is evolving rapidly, with the potential to become a significant threat to human health, a team of Indian researchers using an Artificial Intelligence (AI)-based model has decoded how the deadly virus can actually spillover to humans.

In the study, published in the BMC Public Health journal, the team used BharatSim -- an ultra-large-scale agent-based simulation framework for infectious diseases that was originally built for Covid-19 modelling -- to describe the sequential stages of a zoonotic spillover.

“We modelled the possibility of initial spillover events of H5N1 from birds to humans, followed by sustained human-to-human transmission,” said Philip Cherian and Gautam I. Menon from the Department of Physics at the Haryana-based Ashoka University, in the paper.

“Our model describes the two-step nature of outbreak initiation, showing how crucial epidemiological parameters governing transmission can be calibrated given data for the distribution of the number of primary and secondary cases at early times,” they added.

Avian flu, which first emerged in China in the late 1990s, has since occasionally infected humans.

As South and South-East Asia have the world’s fastest-growing poultry markets, the region is predicted to be the likely location for an initial outbreak.

Notably, the World Health Organization (WHO) has reported 990 human H5N1 cases across 25 countries, including 475 deaths with a 48 per cent fatality rate, between 2003 and August 2025.

The computational model showed that culling birds is the most effective measure to curb H5N1 outbreaks, both in the case of a farm outbreak or a wet market. However, this will work only when no primary infection has occurred.

“In our study of the tertiary attack risk, we found that even if an infection of a primary case occurs, onward infections are limited if cases are isolated and their household contacts quarantined. However, once tertiary contacts are infected, establishing control becomes impossible unless far more stringent measures are applied, including a total lockdown,” the experts noted.

They stressed that it is in the very early stages of an outbreak that control measures make the most difference.

"Once community transmission takes over, cruder public-health measures such as lockdowns, compulsory masking, and large-scale vaccination drives are the only options left,” the researchers added.

The study shows how such models allow for the systematic real-time exploration of policy measures that could constrain disease spread, as well as guide a better understanding of disease epidemiology for an emerging infectious disease.

- IANS

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Reader Comments

R
Rohit P
The part about South and South-East Asia being a likely location is worrying. Our poultry markets are so crowded and unregulated in many places. The government needs to act NOW on biosecurity for farms and markets, not wait for a crisis. Prevention is cheaper than a lockdown.
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Gautam I. Menon
(Researcher quoted in the article) Thank you for covering our work. To clarify for readers: The key takeaway is the critical importance of early detection and containment. Our model, BharatSim, shows that isolating the first few cases and quarantining their contacts can prevent a catastrophe. Public awareness is the first step.
A
Aman W
A 48% fatality rate is terrifying. Much respect to the scientists working on this. But I have a question - the article says culling is most effective only *before* the first human infection. How quickly can we actually detect an outbreak in birds? Our animal health monitoring needs to be as strong as this AI model.
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Sarah B
As someone who lived in India during COVID, the mention of "total lockdown" sends a chill. The economic and social cost was immense, especially for daily wage workers. I hope the authorities use this research for smart, targeted containment and massive vaccine preparedness, not just as a justification for blanket measures.
K
Karthik V
Great to see 'Made in India' tech like BharatSim being used for global good. From COVID to bird flu, our researchers are proving their mettle. Jai Hind! 🇮🇳 The focus should now be on getting these models and protocols to every state's health department.

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