public health lessons learned from biases in coronavirus transmission overestimation
public health lessons learned from biases in coronavirus transmission overestimation
results of this critical appraisal reveal information bias and selection bias in coronavirus mortality overestimation, most likely caused by misclassifying an influenza infection fatality rate as a case fatality rate.", "reference james45 for example, the publics belief that mitigation measures were responsible for reducing coronavirus mortality may be a post hoc fallacy if lower mortality was actually due to the overestimation of coronavirus deaths.")