An Overview of the Latest Outbreak Data from World-Wide Regions and the Reasons for the Increase of Infections in the UK Since Omicron
- 10.2991/assehr.k.220504.030How to use a DOI?
- COVID-19; Explanatory Data Analysis; Multivariate Analysis; Multiple Linear Regression Model; Statistics
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.
- © 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.
Cite this article
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 -