Our Current Misunderstanding of COVID-19 and the Valid Approach to Research: Should We Reopen the World Economy?

Abstract

The study addresses issues related to the current epidemiological models being used to address the COVID-19 pandemic, and suggests the “curve” is a nebulous fairy tale. Furthermore, I argue that these models are based on invalid data and flawed assumptions. For example, epidemiologists are using a number of positive cases, identified in systematic data collection manners (e.g., primarily testing frontline workers and symptomatic people), as proxy measures for infection rate: I suggest that random sample testing, proportional to population density, would provide an exact measure of infection rate. Finally, I argue that we are not in a position to reopen the world economy until we have these data, we now need a twopronged approach through which we conduct random sample testing for both COVID-19 and COVID-19 antibodies, and that we are about to live in a new world in which physical distancing1 will be the norm.