Researchers use machine learning to predict dengue fever with 80% accuracy

By Kate Rix August 21, 2025
Close up of a mosquito biting person's arm

Researchers at Northeastern University can predict the emergence of a dengue fever outbreak with 80% accuracy — a breakthrough for public health officials tasked with preparing careworkers to handle spikes in the disease.

Almost half of the world’s population lives in places where mosquito-borne dengue fever can break out, and cases worldwide are on the rise, having doubled from 2023 to 2024.

About 40,000 people die from the virus every year, according to U.S. national data.

“We wanted to reduce the cognitive load for decision-makers who want to extract the best predictions from multiple mathematical models,” says Mauricio Santillana, a professor of physics and director of Northeastern’s Machine Intelligence Group for the Betterment of Health and the Environment. “There are computational models called ensemble methods to do this.”

Read more at Northeastern Global News

Photo by Soumyabrata Roy/NurPhoto via AP

Sign up for CONNECTS.

The College of Science newsletter delivered straight to your inbox.

"*" indicates required fields

This field is for validation purposes and should be left unchanged.