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传染病检测中的异质性。

Heterogeneity in testing for infectious diseases.

作者信息

Berrig Christian, Andreasen Viggo, Frost Nielsen Bjarke

机构信息

Department of Science and Environment, Roskilde University, Universitetsvej 1, 4000 Roskilde, Denmark.

Niels Bohr Institute, University of Copenhagen, Blegdamsvej 17, 2100 Copenhagen, Denmark.

出版信息

R Soc Open Sci. 2022 May 18;9(5):220129. doi: 10.1098/rsos.220129. eCollection 2022 May.

Abstract

Testing strategies have varied widely between nation states during the COVID-19 pandemic, in intensity as well as methodology. Some countries have mainly performed diagnostic testing while others have opted for mass-screening for the presence of SARS-CoV-2 as well. COVID passport solutions have been introduced, in which access to several aspects of public life requires either testing, proof of vaccination or a combination thereof. This creates a coupling between personal activity levels and testing behaviour which, as we show in a mathematical model, leverages heterogeneous behaviours in a population and turns this heterogeneity from a disadvantage to an advantage for epidemic control.

摘要

在新冠疫情期间,各国的检测策略在强度和方法上差异很大。一些国家主要进行诊断检测,而其他国家也选择了对是否感染新冠病毒进行大规模筛查。“新冠通行证”解决方案已经推出,在这种方案下,参与公共生活的多个方面需要进行检测、提供疫苗接种证明或两者结合。这在个人活动水平和检测行为之间建立了一种关联,正如我们在一个数学模型中所展示的,这种关联利用了人群中的异质性行为,并将这种异质性从疫情防控的劣势转化为优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4a0/9114977/5e93481e96fa/rsos220129f01.jpg

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