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This paper aims to study the economic impact of COVID-19. To do that, in thefirst step, I showed that the adjusted SEQIER model, which is a generalizationform of SEIR model, is a good fit to the real COVID-induced daily death data ina way that it could capture the nonlinearities of the data very well. Then, Iused this model with extra parameters to evaluate the economic effect ofCOVID-19 through job market. The results show that there was a simple strategythat US government could implemented in order to reduce the negative effect ofCOVID-19. Because of that the answer to the paper's title is yes. If lockdownpolicies consider the heterogenous characteristics of population and imposemore restrictions on old people and control the interactions between them andthe rest of population the devastating impact of COVID-19 on people lives andUS economy reduced dramatically. Specifically, based on this paper's results,this strategy could reduce the death rate and GDP loss of the United States0.03 percent and 2 percent respectively. By comparing these results with actualdata which show death rate and GDP loss 0.1 percent and 3.5 percentrespectively, we could figure out that death rate reduction is 0.07 percentwhich means for the same percent of GDP loss executing optimal targeted policycould save 2/3 lives. Approximately, 378,000 persons dead because of COVID-19during 2020, hence reducing death rate to 0.03 percent means saving around280,000 lives, which is huge.

COVID Lessons: Was there any way to reduce the negative effect of COVID-19 on the United States economy?