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疫情期间的检测政策:一项经济分析。

Testing policies during an epidemic: An economic analysis.

作者信息

Russo Francesco Flaviano

机构信息

Federico II University and CSEF, Via Cintia, Monte Sant'Angelo, 80126, Napoli, Italy.

出版信息

PLoS One. 2025 May 27;20(5):e0322292. doi: 10.1371/journal.pone.0322292. eCollection 2025.

DOI:10.1371/journal.pone.0322292
PMID:40424344
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12112405/
Abstract

I build a stochastic epidemiological model with production and endogenous responses to the epidemic to compare different testing policies to isolate and quarantine the infectious: voluntary tests, random screenings and contact tracing. To increase the number of screened individuals at given testing capacity, I also allow for the use of group testing. Contact tracing with group testing is the best testing policy unless in case of: very contagious diseases, socially dense countries, high test costs and limited testing capacity. The gains include a lower mortality, a smaller output loss, and lower peaks of infections and hospitalizations. I show that sophisticated tracing technologies are not needed to achieve these gains.

摘要

我构建了一个具有疫情内生反应和生产环节的随机流行病学模型,以比较不同的检测策略,从而对感染者进行隔离和检疫:自愿检测、随机筛查以及接触者追踪。为了在给定检测能力下增加筛查人数,我还考虑了使用分组检测。除非出现以下情况,否则结合分组检测的接触者追踪是最佳检测策略:疾病传染性极强、社会人口密集的国家、检测成本高昂以及检测能力有限。其好处包括死亡率降低、产出损失减小,以及感染和住院高峰降低。我表明,实现这些好处并不需要复杂的追踪技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f5/12112405/22d06cea2a3b/pone.0322292.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f5/12112405/4726a7734d96/pone.0322292.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f5/12112405/492be801455e/pone.0322292.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f5/12112405/22d06cea2a3b/pone.0322292.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f5/12112405/4726a7734d96/pone.0322292.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f5/12112405/492be801455e/pone.0322292.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f5/12112405/22d06cea2a3b/pone.0322292.g003.jpg

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本文引用的文献

1
Testing alone is insufficient.仅靠测试是不够的。
Rev Econ Des. 2022;26(1):1-21. doi: 10.1007/s10058-022-00295-6. Epub 2022 Mar 1.
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Epidemics and policy: the dismal trade-offs.流行病与政策:严峻的权衡取舍
Econ Polit (Bologna). 2023;40(2):561-588. doi: 10.1007/s40888-022-00279-3. Epub 2022 Jul 18.
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Test sensitivity for infection versus infectiousness of SARS-CoV-2.针对新型冠状病毒感染与传染性的检测敏感性
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Test sensitivity is secondary to frequency and turnaround time for COVID-19 screening.新冠病毒筛查时,检测敏感性次于检测频率和周转时间。
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