An approach for joint optimization of probabilistic group test based on cost and time value: taking nucleic acid detection of COVID-19 as an example-Reference-Cited by-同舟云学术

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An approach for joint optimization of probabilistic group test based on cost and time value: taking nucleic acid detection of COVID-19 as an example

Published:2023-05-23 Issue:14 Volume:27 Page:9823-9833
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Ma Qianli^ORCID,Gao Zihui,Shao Shuai,Ma Baiyu

Funder

Dalian Maritime University Talent Research Startup Fund

the Social Science Planning Fund of Liaoning Province for Youths

the National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-023-08078-z.pdf

Reference20 articles.

1. Amaro JE, Dudouet J, Orce JN (2021) Global analysis of the COVID-19 pandemic using simple epidemiological models. Applied Mathematical Modelling 90:995–1008. https://doi.org/10.1016/j.apm.2020.10.019

2. Aprahamian H (2018) Adaptive risk-based pooling in public health screening. IISE Trans 50(9):753–766. https://doi.org/10.1080/24725854.2018.1434333

3. Chen PD (2001) Combination group test. J Math 02:37–39

4. Chen PD (2000) Probability group test. J Math 4:38–50

5. Chiang KS, Lai SH, Chung WC et al (2010) Cost considerations in choosing group size for group testing in the seed potato certification program. Am J Potato Res 87(5):472–478. https://doi.org/10.1007/s12230-010-9149-0

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Theory for Covid-19 Testing to Save Both Resources and Time;International Journal of Applied and Computational Mathematics;2023-09-09

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