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A guide to R — the pandemic’s misunderstood metric

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  • David Adam

Abstract

What the reproduction number can and can’t tell us about managing COVID-19.

Suggested Citation

  • David Adam, 2020. "A guide to R — the pandemic’s misunderstood metric," Nature, Nature, vol. 583(7816), pages 346-348, July.
    • Handle: RePEc:nat:nature:v:583:y:2020:i:7816:d:10.1038_d41586-020-02009-w
    DOI: 10.1038/d41586-020-02009-w
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    Cited by:

    1. Greenhalgh, Trisha & Engebretsen, Eivind, 2022. "The science-policy relationship in times of crisis: An urgent call for a pragmatist turn," Social Science & Medicine, Elsevier, vol. 306(C).
    2. Mingolla, Stefano & Lu, Zhongming, 2022. "Impact of implementation timing on the effectiveness of stay-at-home requirement under the COVID-19 pandemic: Lessons from the Italian Case," Health Policy, Elsevier, vol. 126(6), pages 504-511.
    3. Christian Alvin H. Buhat & Destiny S. M. Lutero & Yancee H. Olave & Kemuel M. Quindala & Mary Grace P. Recreo & Dylan Antonio S. J. Talabis & Monica C. Torres & Jerrold M. Tubay & Jomar F. Rabajante, 2021. "Using Constrained Optimization for the Allocation of COVID-19 Vaccines in the Philippines," Applied Health Economics and Health Policy, Springer, vol. 19(5), pages 699-708, September.
    4. Yuki Furuse & Yura K. Ko & Kota Ninomiya & Motoi Suzuki & Hitoshi Oshitani, 2021. "Relationship of Test Positivity Rates with COVID-19 Epidemic Dynamics," IJERPH, MDPI, vol. 18(9), pages 1-10, April.
    5. Luca Scrucca, 2022. "A COVINDEX based on a GAM beta regression model with an application to the COVID-19 pandemic in Italy," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(4), pages 881-900, October.

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