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
- [1] Lu, R., Zhao, X., Li, J., Niu, P., Yang, B., Wu, H., ... & Tan, W., Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding, The Lancet, 395(10224) (2020) 565-574.
- [2] Lauer, S. A., Grantz, K. H., Bi, Q., Jones, F. K., Zheng, Q., Meredith, H. R., ... & Lessler, J., The incubation period of coronavirus disease 2019 (COVID-19) from publicly reported confirmed cases: estimation and application, Annals of Internal Medicine., 172(9) (2020) 577-582.
- [3] Chen N, Zhou M, Dong X, et al., Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study, Lancet, 395 (2020) 507–13.
- [4] Guan, W. J., Ni, Z. Y., Hu, Y., Liang, W. H., Ou, C. Q., He, J. X., ... & Zhong, N. S., Clinical characteristics of 2019 novel coronavirus infection in China, Med. Rxiv ,(2020).
- [5] Guan, W. J., Ni, Z. Y., Hu, Y., Liang, W. H., Ou, C. Q., He, J. X., ... & Zhong, N. S., Clinical characteristics of coronavirus disease 2019 in China, New England Journal Of Medicine, 382(18) (2020) 1708-1720.
- [6] Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., ... & Cao, B, Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China., The Lancet, 395(10223) (2020) 497-506.
- [7] Gomes, C., Report of the WHO-China joint mission on coronavirus disease 2019 (COVID-19), Brazilian Journal Of Implantology And Health Sciences , 2(3) (2020).
- [8] Liu, K., Chen, Y., Lin, R., & Han, K., Clinical features of COVID-19 in elderly patients: A comparison with young and middle-aged patients, Journal of Infection, 80(6) (2020) e14-e18.
Details
Primary Language
English
Subjects
Applied Statistics
Journal Section
Research Article
Publication Date
March 28, 2024
Submission Date
July 10, 2023
Acceptance Date
February 27, 2024
Published in Issue
Year 2024 Volume: 45 Number: 1