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Team Uses ARGO Methodology to Follow Dengue Outbreaks

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Dengue, a mosquito-borne virus that infects about 390 million people each year, is often difficult to monitor with traditional hospital-based reporting due to inefficient communication.

Researchers from Harvard have developed an analytical tool that combines Google search data with government-provided clinical data to track dengue fever in less-developed countries. The team published its study (“Advances in Using Internet Searches to Track Dengue”) in PLOS Computational Biology.

“…dengue-related Google search trends have been shown to correlate with dengue activity. We extend a methodological framework, initially proposed and validated for flu surveillance, to produce near real-time estimates of dengue cases in five countries/states,” wrote the investigators. “Our result shows that our modeling framework can be used to improve the tracking of dengue activity in multiple locations around the world.”

The work builds on a methodology previously developed by the team to track influenza in the United States. This mathematical modeling tool, known as AutoRegression with GOogle search queries (ARGO), revived hopes in 2015 that internet search data could help health officials track diseases after earlier systems like Google Flu Trends and Google Dengue Trends returned poor results.

In the new study, the research team modified ARGO to explore its potential to track dengue activity in Mexico, Brazil, Thailand, Singapore, and Taiwan.

The scientists used Google’s “Trends” tool to track the top ten dengue-related search queries made by users in each country during the study period. They also gathered historical dengue data from government health agencies and input both datasets into ARGO. Using the assumption that more dengue-related searches occur when more people are infected, ARGO calculated near real-time estimates of dengue prevalence for each country.

The scientists then compared ARGO’s estimates with those from five other methods. They found that ARGO returned more accurate estimates than did any other method for Mexico, Brazil, Thailand, and Singapore. Estimates for Taiwan were less accurate, possibly because the country experienced less-consistent seasonal disease patterns from year to year.

The findings highlight the potential for Google searches to enable accurate and timely tracking of mosquito-borne diseases in countries lacking effective traditional surveillance systems. Future work could investigate whether this method could be improved to track disease on finer spatial and temporal scales, and whether environmental data, such as temperature, could improve estimates.

“The wide availability of internet throughout the globe provides the potential for an alternative way to reliably track infectious diseases, such as dengue, faster than traditional clinical-based systems,” says study senior author Mauricio Santillana, Ph.D., of Boston Children’s Hospital and Harvard Medical School. “This alternative way of tracking disease could be used to alert governments and hospitals when elevated dengue incidence is anticipated, and provide safety information for travelers.”

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