Analysis of the main factors affecting the number of COVID-19 deaths

Anna Liu; Oi Ying Lau; Yuqing Wu

doi:10.1117/12.2639433

17 May 2022 Analysis of the main factors affecting the number of COVID-19 deaths

Anna Liu, Oi Ying Lau, Yuqing Wu

Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 122590K (2022) https://doi.org/10.1117/12.2639433
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, 2022, Kunming, China

Abstract

This paper focuses on the main factors affecting the number of COVID-19 deaths. By correlation analysis, the number of people vaccinated and the number of infection cases are the main factors of the number of deaths. A prediction model on the number of deaths using these factors and linear regression is therefore built. The model was next used to predict and compare the number of COVID-19 deaths with actual data in several countries. Additional influences were further analyzed for countries with poor fits.

Citation Download Citation

Anna Liu, Oi Ying Lau, and Yuqing Wu "Analysis of the main factors affecting the number of COVID-19 deaths", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 122590K (17 May 2022); https://doi.org/10.1117/12.2639433

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available