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A team of researchers in California found that the number of coronaviruses cases in one county may actually be up to 85 times higher than the what health officials have tallied, and say their data may help better estimate the virus’ true fatality rate.Earlier this month, Stanford University-led researchers tested 3,330 adults and children in Santa Clara County, who were recruited using Facebook ads, for SARS-CoV-2 antibodies and found that the population prevalence of COVID-19 in Santa Clara ranged from 2.49 percent to 4.16 percent.JACKSONVILLE BEACHES TO REOPEN FOR 'ESSENTIAL ACTIVITIES'“The most important implication of these findings is that the number of infections is much greater than the reported number of cases,” the researchers wrote, in a yet-to-be peer-reviewed study. However, once adjustments were made the researchers said the results could be applied to other areas.“While our study was limited to Santa Clara County, it demonstrates the feasibility of seroprevalence surveys of population samples now, and in the future, to inform our understanding of this pandemic’s progression, project estimates of community vulnerability, and monitor infection fatality rates in different populations over time,” the researchers said.
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