Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)

<Previous Article In Volume
Next Article In Volume>

Data Prediction and Infection factor analysis in COVID-19

Authors
Xiaomei Ji1, *
1Department of Computer Science and Engineering, The University of New South Wales Sydney, Sydney, Australia
*Corresponding author. Email: xiaomei.ji@student.unsw.edu.au
Corresponding Author
Xiaomei Ji
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-056-5_32How to use a DOI?
Keywords
COVID-19; Daily statistic prediction; Factor Analysis; Machine learning
Abstract

COVID-19 has become a world-wide pandemic since 2019. This paper focuses on data analysis in COVID-19 pandemic, which contains three main parts. First, the research aims to predict the daily death and cases using training data from single and multiple countries using four methods, including KNN, Decision tree, SVM and Linear regression. Then, the study further focuses on how the temperature will affect the COVID-19. Finally, the relationship of statistic between different countries also be discussed, such as daily increases and deaths. The linear regression achieves the best scores in daily statistic prediction. Furthermore, the experiment validates the positive relationship between the pandemic and temperature and also obtains that different countries has positive correlation with respect to the pandemic condition. The paper gives a throughout analysis on COVID-19 and exploits the essential factor of COVID-19 spread.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
978-94-6463-056-5
ISSN
2589-4900
DOI
10.2991/978-94-6463-056-5_32How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xiaomei Ji
PY  - 2022
DA  - 2022/12/29
TI  - Data Prediction and Infection factor analysis in COVID-19
BT  - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)
PB  - Atlantis Press
SP  - 226
EP  - 231
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-056-5_32
DO  - 10.2991/978-94-6463-056-5_32
ID  - Ji2022
ER  -