A new study in California has found the number of people infected with coronavirus may be tens of times higher than previously thought, Report informs, citing the Guardian.
The study from Stanford University, which was released Friday and has yet to be peer reviewed, tested samples from 3,330 people in Santa Clara county and found the virus was 50 to 85 times more common than official figures indicated.
To ease the sprawling lockdowns currently in place to stop the spread of COVID-19, health officials must first determine how many people have been infected. Large studies of the prevalence of the virus within a region could play a key role, researchers say.
“This has implications for learning how far we are in the course of the epidemic,” said Eran Bendavid, the associate professor of medicine at Stanford University who led the study. “It has implications for epidemic models that are being used to design policies and estimate what it means for our healthcare system.”
The study marks the first large-scale study of its kind, researchers said. The study was conducted by identifying antibodies in healthy individuals through a finger prick test, which indicated whether they had already contracted and recovered from the virus.
At the time of the study, Santa Clara county had 1,094 confirmed cases of COVID-19, resulting in 50 deaths. But based on the rate of people who have antibodies, it is likely that between 48,000 and 81,000 people had been infected in Santa Clara county by early April – a number approximately 50 to 80 times higher.
That also means coronavirus is potentially much less deadly to the overall population than initially thought. As of Tuesday, the US’s coronavirus death rate was 4.1%, and Stanford researchers said their findings show a death rate of just 0.12% to 0.2%.