什么是COVID-19的活跃流行率?

Mu-Jeung Yang, Marinho Bertanha, Nathan Seegert, Maclean Gaulin, Adam Looney, Brian Orleans, Andrew T. Pavia, Kristina Stratford, Matthew Samore, Steven Alder
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引用次数: 1

摘要

提供一种实时跟踪COVID-19活跃流行的方法,纠正基于症状的检测数据中样本选择的时变以及对康复病例和死亡病例的不完全跟踪。我们的方法只需要公开的阳性检测率数据和一个参数,我们是根据2020年5月和6月在犹他州测试的近1万人的代表性随机样本估计的。我们通过2020年4月在印第安纳州和2021年3月在犹他州的两个县的外部研究验证了我们的方法。在所有三个地点和时间,我们对潜在患病率的估计都在随机测试中患病率估计的95%置信区间内。将我们的方法应用于所有50个州,我们发现真实患病率比公开报道的高2-3倍。
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What Is the Active Prevalence of COVID-19?
Abstract We provide a method to track the active prevalence of COVID-19 in real time, correcting for time-varying sample selection in symptom-based testing data and incomplete tracking of recovered cases and fatalities. Our method only requires publicly available data on positive testing rates in combination with one parameter, which we estimate based on a representative randomized sample of nearly 10,000 individuals tested in Utah in May and June 2020. We validate our method using external studies in Indiana in April 2020 and two counties in Utah in March 2021. In all three locations and times, our estimates of latent prevalence are within the 95 percent confidence intervals of prevalence estimates from randomized testing. Applying our method to all 50 states, we show that true prevalence is 2-3 times higher than publicly reported.
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