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Comparison of Positivity in Two Epidemic Waves of COVID-19 in Colombia with FDA

Author

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  • Cristhian Leonardo Urbano-Leon

    (Department of Statistics and Operations Research, University of Granada, 18071 Granada, Spain
    These authors contributed equally to this work.)

  • Manuel Escabias

    (Department of Statistics and Operations Research, University of Granada, 18071 Granada, Spain
    These authors contributed equally to this work.)

Abstract

We use the functional data methodology to examine whether there are significant differences between two waves of contagion by COVID-19 in Colombia between 7 July 2020 and 20 July 2021. A pointwise functional t -test is initially used, then an alternative statistical test proposal for paired samples is presented, which has a theoretical distribution and performs well in small samples. Our statistical test generates a scalar p -value, which provides a global idea about the significance of the positivity curves, complementing the existing punctual tests, as an advantage.

Suggested Citation

  • Cristhian Leonardo Urbano-Leon & Manuel Escabias, 2022. "Comparison of Positivity in Two Epidemic Waves of COVID-19 in Colombia with FDA," Stats, MDPI, vol. 5(4), pages 1-11, October.
    • Handle: RePEc:gam:jstats:v:5:y:2022:i:4:p:59-1003:d:956228
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    References listed on IDEAS

    as
    1. Qiu, Zhiping & Chen, Jianwei & Zhang, Jin-Ting, 2021. "Two-sample tests for multivariate functional data with applications," Computational Statistics & Data Analysis, Elsevier, vol. 157(C).
    2. 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.
    3. Cuevas, Antonio & Febrero, Manuel & Fraiman, Ricardo, 2004. "An anova test for functional data," Computational Statistics & Data Analysis, Elsevier, vol. 47(1), pages 111-122, August.
    Full references (including those not matched with items on IDEAS)

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