Tracking the national and regional COVID-19 epidemic status in the UK using directed Principal Component Analysis

Wen Xiang (Contributor)
Benjamin Thomas Swallow (Contributor)
Jasmina Panovska-Griffiths (Contributor)

School of Mathematics and Statistics

Dataset

Description

Data and code to run analysis included in this paper. DASHBOARD_27_2_21.csv consists of data downloaded from the UK Covid-19 Dashboard on 27th February 2021. The R_number.csv file was obtained from the UKHSA on 19th January 2022. The data remains the property of those from whom it was obtained.

Date made available	2021
Publisher	Zenodo

Contact

[email protected]

DOI
10.5281/zenodo.6078749

1 Article

Tracking the national and regional COVID-19 epidemic status in the UK using weighted principal component analysis
Swallow, B., Xiang, W. & Panovska-Griffiths, J., 3 Oct 2022, In: Philosophical Transactions of the Royal Society. A, Mathematical, Physical and Engineering Sciences . 380, 2233, 15 p., 20210302.
Research output: Contribution to journal › Article › peer-review

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Tracking the national and regional COVID-19 epidemic status in the UK using directed Principal Component Analysis

Description

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DOI

Research output

Tracking the national and regional COVID-19 epidemic status in the UK using weighted principal component analysis

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