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Originally meant to be called "Googol," investors spelled it "Google" on a check and it stuck. Unsplash

Google has made a vast dataset of search trends available for researchers in the US to study the link between symptom-related searches and the spread of Covid-19.

The Covid-19 Search Trends symptoms dataset includes aggregated, anonymized search trends for more than 400 symptoms, signs and health conditions, such as cough, fever and difficulty breathing.


The dataset includes trends at the US county-level from the past three years in order to make the insights more helpful to public health, and so researchers can account for changes in searches due to seasonality, the company said in a statement on Wednesday.

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Using the dataset, researchers can develop models and create visualisations based on the popularity of symptom-related searches.


Google’s search index is more 100 million gigabytes in size. It would take 100,000 one-terabyte personal drives to contain the same amount of data. Unsplash

“This sample visualisation is based on search volume for fever across the U.S. This visualization does not reflect the dataset’s user interface but shows what can be generated,” Google said.

Researchers could use this dataset to study if search trends can provide an earlier and more accurate indication of the reemergence of the virus in different parts of the country.

Also Read: PUBG And 117 Apps Banned Over National Security Concerns

The dataset is available in Google Cloud’s COVID-19 Free Public Dataset Programme and is downloadable from Google Research at Open COVID-19 Data GitHub repository.

“No personal information or individual search queries are included,” Google said.

This early release is limited to the US at the moment and covers searches made in English and Spanish. (IANS)


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Indian wrestler Ravi Kumar (57kg) and Deepak Punia (86kg) enjoyed fruitful outings at the Tokyo Olympic Games as they secured semifinal berths in their respective weight categories at the Makuhari Messe on Wednesday.

On the opening day of the wrestling competition, Ravi Kumar defeated Bulgaria's Georgi Vangelov 14-4 on technical superiority to reach the last-four in the men's 57kg category, while compatriot Deepak Punia overcame China's Zushen Lin 6-3 on points to advance to the semifinals.

Ravi Kumar will take on Nurislam Sanayev of Kazakhstan in the last-four, while Punia will be up against David Morris Taylor of the USA.

Earlier, Ravi Kumar had won his opening-round bout by technical superiority against Colombia's Oscar Tigreros to secure a quarterfinal spot. Competing in the Round-of-16 bout against the Colombian wrestler, the 23-year-old Ravi Kumar, who is making his Olympic debut, showed no nerves as he dominated the bout to win by technical superiority (13-2).

Ravi Kumar landed attack after attack and went 13-2 up, winning the bout by technical superiority with minutes to spare. In wrestling, building up a 10-point lead over the opponent results in a victory by technical superiority.

India's 86kg freestyle wrestler Deepak Punia showed no signs of the niggle that had forced him to pull out of the Poland Open Ranking Series in Warsaw in June, as he defeated Nigeria's Ekerekeme Agiomor on technical superiority to secure a quarterfinal berth.

He got his Olympic campaign to a fine start as he was in control from the start of the bout and hardly ever allowed his Nigerian opponent any room to maneuver his moves, finally winning with a 12-1 on technical superiority.

Punia, who had also suffered an elbow injury just before the Games, was slow at the start but came into his own as the bout progressed, inflicting takedowns at regular intervals to earn points.

The Indian wrestler eased into a 4-1 lead at the break and extended his lead comfortably in the second period.

Punia, the silver medallist from the 2019 world wrestling championships, then set up a clash with China's Lin Zushen in the quarterfinals and defeated him 6-3.

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