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在病毒流行期间优化用于聚合酶链反应(PCR)检测的拭子和试剂分配

Optimising the assignment of swabs and reagent for PCR testing during a viral epidemic.

作者信息

Santini Alberto

机构信息

Universitat Pompeu Fabra, Barcelona, Spain.

出版信息

Omega. 2021 Jul;102:102341. doi: 10.1016/j.omega.2020.102341. Epub 2020 Sep 22.

DOI:10.1016/j.omega.2020.102341
PMID:32982016
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7505804/
Abstract

Early large-scale swab testing is a fundamental tool for health authorities to assess the prevalence of a virus and enact appropriate mitigation measures during an epidemic. The COVID-19 pandemic has shown that the availability of chemical reagent required to carry out the tests is often a bottleneck in increasing a country's testing capacity. Further, demand is unevenly spread between more affected regions (which require more tests they can perform) and less affected ones (which have spare capacity). These issues hint at the opportunity of increasing test capacity via the optimal allocation of swabs and reagent to laboratories. We prove that this is the case, proposing an Integer Programming formulation to maximise the number of tests a country can perform and validating our approach on both real-life data from Italy and synthetic instances. Our results show that increased inter-regional collaboration and a steadier supply of reagent (i.e., coming from local production sites rather than international shipments) can dramatically increase testing capacity. Accordingly, we propose short-term and long-term recommendations for policy makers and health authorities.

摘要

早期大规模拭子检测是卫生当局评估病毒流行程度并在疫情期间制定适当缓解措施的一项基本工具。新冠疫情表明,进行检测所需的化学试剂供应往往是提高一个国家检测能力的瓶颈。此外,需求在受影响较大的地区(需要更多检测但自身检测能力有限)和受影响较小的地区(有闲置检测能力)之间分布不均。这些问题暗示了通过向实验室优化分配拭子和试剂来提高检测能力的机会。我们证明了情况确实如此,提出了一个整数规划公式,以最大化一个国家能够进行的检测数量,并在来自意大利的实际数据和合成实例上验证了我们的方法。我们的结果表明,加强区域间合作以及更稳定的试剂供应(即来自本地生产基地而非国际运输)可以显著提高检测能力。因此,我们为政策制定者和卫生当局提出了短期和长期建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0af/7505804/b5ca1fab93ba/gr10_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0af/7505804/9f9bda51eedb/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0af/7505804/774cbc61785f/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0af/7505804/981b8b6ea863/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0af/7505804/5d29c55a4d85/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0af/7505804/e8d3ad9fcf97/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0af/7505804/1e9e4c481c53/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0af/7505804/99d7689be118/gr7_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0af/7505804/0162bdee8e07/gr8_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0af/7505804/6ac10643ed7b/gr9_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0af/7505804/b5ca1fab93ba/gr10_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0af/7505804/9f9bda51eedb/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0af/7505804/774cbc61785f/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0af/7505804/981b8b6ea863/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0af/7505804/5d29c55a4d85/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0af/7505804/e8d3ad9fcf97/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0af/7505804/1e9e4c481c53/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0af/7505804/99d7689be118/gr7_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0af/7505804/0162bdee8e07/gr8_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0af/7505804/6ac10643ed7b/gr9_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0af/7505804/b5ca1fab93ba/gr10_lrg.jpg

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