COVID-19大流行的统计短期预测

J. Doornik
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引用次数: 7

摘要

从2020年3月中旬起,我们一直在www.doornik.com/COVID-19上发布COVID-19确诊病例和死亡人数的实时预测。这些预测是对过去和当前数据的短期统计外推。他们假设基本趋势可以提供短期发展的信息,而不需要对SARS-CoV-2病毒如何传播或预防政策是否有效进行其他假设。我们概述了我们使用的预测方法,并与流行病学模型进行了比较,评估了预测的质量。
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Statistical Short-Term Forecasting Of The COVID-19 Pandemic
We have been publishing real-time forecasts of confirmed cases and deaths for COVID-19 from mid-March 2020 onwards, published at www.doornik.com/COVID-19. These forecasts are short-term statistical extrapolations of past and current data. They assume that the underlying trend is informative of short-term developments, without requiring other assumptions of how the SARS-CoV-2 virus is spreading, or whether preventative policies are effective. We provide an overview of the forecasting approach that we use and assess the quality of the forecasts in comparison to those from an epidemiological model.
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