An Overview of the Latest Outbreak Data from World-Wide Regions and the Reasons for the Increase of Infections in the UK Since Omicron

DOI

10.2991/assehr.k.220504.030How to use a DOI?

Keywords

COVID-19; Explanatory Data Analysis; Multivariate Analysis; Multiple Linear Regression Model; Statistics

Abstract

Since the beginning of COVID-19, 10 vaccines have been introduced, but the virus is mutating at the same time. Although more new cases are being confirmed, which may be caused by a higher transmission rate of the virus, some countries are planning to or have already lifted their precautionary measures. In this paper, we use global and European data from the WHO for statistical data analysis and explore the UK data in more detail. This is followed by building a multiple linear regression of the number of new confirmed cases for potential reasons, including policy measures. Based on the statistical model results, the statistical insignificance of the stringency index could only provide a better reference to the countries that have similar levels of restriction enforcement. Apart from this factor, the positive rate and the daily new cases also significantly affect the number of new cases per day. Although the vaccines could still protect humans from the currently prevalent variants, the effectiveness against future variants of the virus is uncertain.

Copyright

© 2022 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license.

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TY  - CONF
AU  - Qinfang Lu
PY  - 2022
DA  - 2022/06/01
TI  - An Overview of the Latest Outbreak Data from World-Wide Regions and the Reasons for the Increase of Infections in the UK Since Omicron
BT  - Proceedings of the 2022 8th International Conference on Humanities and Social Science Research (ICHSSR 2022)
PB  - Atlantis Press
SP  - 163
EP  - 169
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220504.030
DO  - 10.2991/assehr.k.220504.030
ID  - Lu2022
ER  -