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You’re not feeling well so you open a search engine and type: fever, dry cough, hoping to find hints of what you may have. A handful of days later, you’re feeling worse, and you type in: trouble breathing. It turns out you’re not the only one who’s doing this, and a Harvard senior’s research project suggests that tracking the results of all those searches can tell us something about the progression of a new disease in individuals and through a population. Tina Lu, a Leverett House computer science concentrator, analyzed search engine data from Google Trends going back to the beginning of the coronavirus pandemic to see how well symptom searches in 32 countries on six continents matched the clinical symptoms of COVID-19 and whether the number of searches served as a harbinger of rising incidence of cases.

United statesLeverett houseNew jerseyBen reisTina luBoston children hospital computational health informatics programHarvard medical schoolPredictive medicine groupGoogle trendsNature digital medicineBoston childrenHospital computational health informatics programCalvin powellBen reisBoston childrens hospitalComputer science