Assessing the COVID-19 Vaccination Process via Functional Data Analysis-Reference-Cited by-同舟云学术

Assessing the COVID-19 Vaccination Process via Functional Data Analysis

Published:2022 Issue: Volume: Page:152-170
ISSN:1865-0929
Container-title:Information and Communication Technologies
language:
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Author:

Tapia-Riera Guido^ORCID,Riera-Segura Lenin^ORCID,Calle-Cárdenas Christian^ORCID,Amaro Isidro R.^ORCID,Infante Saba^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-18272-3_11

Reference31 articles.

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2. Oshinubi, K., Ibrahim, F., Rachdi, M., Demongeot, J.: Functional data analysis: application to daily observation of COVID-19 prevalence in France. AIMS Math. 7(4), 5347–5385 (2022). https://doi.org/10.3934/math.2022298

3. Sánchez-Sánchez, M.L., et al.: Functional principal component analysis as a new methodology for the analysis of the impact of two rehabilitation protocols in functional recovery after stroke. J. NeuroEngineering Rehabi. 11(34), 134 (2014). https://doi.org/10.1186/1743-0003-11-134

4. Communications in Computer and Information Science;A Padilla-Segarra,2020

5. Boschi, T., Di Iorio, J., Testa, L., Cremona, M.A., Chiaromonte, F.: Functional data analysis characterizes the shapes of the first COVID-19 epidemic wave in Italy. Sci. Rep. 11(1), 1–15 (2021). https://doi.org/10.1038/s41598-021-95866-y

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