Machine learning maps foot-and-mouth disease hotspots in Bangladesh, linking climate to outbreaks

Foot-and-mouth disease causes substantial economic losses to livestock farmers in Bangladesh through animal morbidity and mortality.

In Bangladesh, where rural livelihoods rest on the backs of cattle and goats, foot-and-mouth disease has long struck with an apparent randomness that left farmers defenseless and officials reactive. A six-year study spanning 2017 to 2023 has now revealed that the disease follows a legible grammar — written in humidity, temperature, and geography — and that machine learning can read it. The southeastern regions of the country carry the heaviest burden, March carries the highest risk, and the tools to anticipate the next outbreak now exist. What remains is the human question of whether knowledge

Machine learning maps foot-and-mouth disease hotspots in Bangladesh, linking climate to outbreaks

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