Los Alamos National Laboratory

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Using Wikipedia to forecast disease

Scientists can now monitor and forecast diseases around the globe more effectively by analyzing views of Wikipedia articles.
December 22, 2014
Using Wikipedia to forecast disease

Scientists can now monitor and forecast diseases around the globe more effectively by analyzing views of Wikipedia articles.

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“A global disease-forecasting system will improve the way we respond to epidemics,” scientist Sara Del Valle said.

Using Wikipedia to forecast disease

A team of Los Alamos researchers determined that by analyzing views of Wikipedia articles, they could successfully monitor and forecast the spread of diseases around the globe in real time.

Not only can such non-conventional disease surveillance improve the ways public-health officials respond to epidemics, but it can also provide a means for officials to plan for future outbreaks.

The LANL team was able to successfully monitor influenza in the United States, dengue fever in Brazil and Thailand, and tuberculosis in China and Thailand using the novel technique, which will be used ultimately to build an operational disease monitoring and forecasting system with open data and open-source code.

Scientists Speak

    • Science Radio Cafe
      Interview with Sara Del Valle Mathematical Epidemiologist, and Nicholas Generous Molecular Biologist, of the Mathematical and Computational Epidemiology Team at Los Alamos National Laboratory
    • Science Friday Interviews
      Mining Wikipedia Data to Track Disease

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