Row and Column Effects Modelling of Elderly Age Groups and Chronic Health Problem on COVID-19

Gokcen Altun; Serpil Aktaş

doi:10.17776/csj.1325410

EN

Row and Column Effects Modelling of Elderly Age Groups and Chronic Health Problem on COVID-19

Abstract

Statistical analysis of COVID-19 data from China and NYC, using log-linear models, helps identifying high-risk groups like those aged over 65 and individuals with chronic health issues. According to the results of row effects model applied to the COVID-19 data set of China, we conclude that when the age group increases by one unit, the risk of getting COVID-19 disease is approximately 8 times higher for the patients having Chronic Obstructive Pulmonary Disease (COPD) than patients having hypertension, 9.37 times higher than patients with coronary heart disease, 13.37 times higher than patients having diabetes and cerebrovascular diseases and 10.16 times higher than patients having other diseases. According to the results of column effects model applied to the COVID-19 data set of NYC, we conclude that when the age group increases by one unit, the risk of death from the COVID-19 disease is approximately 2 times higher for the patients having choric health problem than the patients not having a chronic health problem. We believe that the empirical findings of the presented study will guide the policymakers to make provision for these disadvantageous groups for COVID-19 disease

Keywords

References

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Details

Primary Language

English

Subjects

Applied Statistics

Journal Section

Research Article

Authors

Gokcen Altun ^*
0000-0003-4311-6508
Türkiye

Serpil Aktaş
0000-0003-3364-6388
Türkiye

Publication Date

March 28, 2024

Submission Date

July 10, 2023

Acceptance Date

February 27, 2024

Published in Issue

Year 2024 Volume: 45 Number: 1

DOI

https://doi.org/10.17776/csj.1325410

IZ

https://izlik.org/JA43WE28XU

Cite

RIS / Bibtex

APA

Altun, G., & Aktaş, S. (2024). Row and Column Effects Modelling of Elderly Age Groups and Chronic Health Problem on COVID-19. Cumhuriyet Science Journal, 45(1), 175-181. https://doi.org/10.17776/csj.1325410

AMA

1.Altun G, Aktaş S. Row and Column Effects Modelling of Elderly Age Groups and Chronic Health Problem on COVID-19. CSJ. 2024;45(1):175-181. doi:10.17776/csj.1325410

Chicago

Altun, Gokcen, and Serpil Aktaş. 2024. “Row and Column Effects Modelling of Elderly Age Groups and Chronic Health Problem on COVID-19”. Cumhuriyet Science Journal 45 (1): 175-81. https://doi.org/10.17776/csj.1325410.

EndNote

Altun G, Aktaş S (March 1, 2024) Row and Column Effects Modelling of Elderly Age Groups and Chronic Health Problem on COVID-19. Cumhuriyet Science Journal 45 1 175–181.

IEEE

[1]G. Altun and S. Aktaş, “Row and Column Effects Modelling of Elderly Age Groups and Chronic Health Problem on COVID-19”, CSJ, vol. 45, no. 1, pp. 175–181, Mar. 2024, doi: 10.17776/csj.1325410.

ISNAD

Altun, Gokcen - Aktaş, Serpil. “Row and Column Effects Modelling of Elderly Age Groups and Chronic Health Problem on COVID-19”. Cumhuriyet Science Journal 45/1 (March 1, 2024): 175-181. https://doi.org/10.17776/csj.1325410.

JAMA

1.Altun G, Aktaş S. Row and Column Effects Modelling of Elderly Age Groups and Chronic Health Problem on COVID-19. CSJ. 2024;45:175–181.

MLA

Altun, Gokcen, and Serpil Aktaş. “Row and Column Effects Modelling of Elderly Age Groups and Chronic Health Problem on COVID-19”. Cumhuriyet Science Journal, vol. 45, no. 1, Mar. 2024, pp. 175-81, doi:10.17776/csj.1325410.

Vancouver

1.Gokcen Altun, Serpil Aktaş. Row and Column Effects Modelling of Elderly Age Groups and Chronic Health Problem on COVID-19. CSJ. 2024 Mar. 1;45(1):175-81. doi:10.17776/csj.1325410