2019年冠状病毒病(COVID-19)
传输(电信)
疾病
传输速率
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
计量经济学
大流行
疾病传播
2019-20冠状病毒爆发
人口学
经济
医学
计算机科学
病毒学
传染病(医学专业)
内科学
电信
社会学
爆发
作者
Andrew Atkeson,Karen Kopecky,Tao Zha
出处
期刊:AEA papers and proceedings
[American Economic Association]
日期:2021-05-01
卷期号:111: 356-360
被引量:22
标识
DOI:10.1257/pandp.20211064
摘要
A simple model of COVID-19 that incorporates feedback from disease prevalence to disease transmission through an endogenous response of human behavior does a remarkable job fitting the main features of the data on the growth rates of daily deaths observed across a large number of countries and states in the United States in 2020. This finding, however, suggests a new empirical puzzle: very large wedges that shift disease transmission rates holding disease prevalence fixed are required both across regions and within a region over time for the model to match the data on deaths from COVID-19 as an equilibrium outcome exactly.
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