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The mathematical strategy that could transform coronavirus testing

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  • Smriti Mallapaty

Abstract

Four charts show how pooling samples from many people can save time or resources.

Suggested Citation

  • Smriti Mallapaty, 2020. "The mathematical strategy that could transform coronavirus testing," Nature, Nature, vol. 583(7817), pages 504-505, July.
    • Handle: RePEc:nat:nature:v:583:y:2020:i:7817:d:10.1038_d41586-020-02053-6
    DOI: 10.1038/d41586-020-02053-6
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    Cited by:

    1. Jiayi Lin & Hrayer Aprahamian & George Golovko, 2024. "An optimization framework for large-scale screening under limited testing capacity with application to COVID-19," Health Care Management Science, Springer, vol. 27(2), pages 223-238, June.
    2. Pritha Guha, 2022. "Application of Pooled Testing Methodologies in Tackling the COVID-19 Pandemic," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 47(1), pages 7-21, February.

    More about this item

    Keywords

    Technology; Infection; Virology;
    All these keywords.

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