https://www.wsj.com/articles/the-case-against-covid-tests-for-the-young-and-healthy-11599151722?mod=opinion_lead_pos5
Dr. Bhattacharya, a physician and economist, is a professor at Stanford Medical School. Mr. Kulldorff, a biostatistician, is a professor at Harvard Medical School.
Should people who aren’t sick be tested for Covid-19? In August the Centers for Disease and Control Prevention revised its guidance to suggest focusing on the elderly and patients with symptoms. One may be excused for thinking that more testing is always better, but that isn’t true. Anyone can be infected with the virus, but there is a thousandfold difference in the risk of death between the young and the old. Testing strategy should reflect that.
There is little purpose in using tests to check asymptomatic children to see if it is safe for them to come to school. When children are infected, most are asymptomatic, and the mortality risk is lower than for the flu. While adult-to-adult and adult-to-child transmission is common, child-to-adult transmission isn’t. Children thus pose minimal risk to their teachers. If a child has a cough, a runny nose or other respiratory symptoms, he should stay home. You don’t need a test for that.
What would routine Covid-19 testing of children accomplish? A child with no symptoms who tests positive would be sent home and deprived of an education. Enough asymptomatic cases would lead to school closures. Yet the public-health consensus is that classroom learning is important, and closures are highly detrimental. That’s especially true for working-class children, whose parents can’t afford tutors or learning “pods,” but must instead make difficult choices between supervising their children’s education and paying the bills.
Sweden was the only major Western country that kept schools open for kids 15 and younger throughout the pandemic, with no masks or mass testing. How did it turn out? Zero Covid-19 deaths among 1.8 million children attending day care or school. Teachers didn’t have an excess infection risk compared with the average of other professions.