Risk factors affecting COVID-19 case fatality rate: A quantitative analysis of top 50 affected countries

Background: Latest clinical data on treatment on coronavirus disease 2019 (COVID-19) indicated that older patients and those with underlying history of smoking, hypertension or diabetes mellitus might have poorer prognosis of recovery from COVID-19. We aimed to examine the relationship of various p...

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Main Authors: Poh Hui Goh, Wafiah Ilyani Mahari, Norhadyrah Izazie Ahad, Li Ling Chaw, Nurolaini Kifli, Bey-Hing Goh, Siang Fei Yeoh, Khang Wen Goh, Long Chiau Ming
Format: Article
Language:English
Published: HH Publisher 2020-11-01
Series:Progress in Microbes and Molecular Biology
Online Access:https://journals.hh-publisher.com/index.php/pmmb/article/view/356
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author Poh Hui Goh
Wafiah Ilyani Mahari
Norhadyrah Izazie Ahad
Li Ling Chaw
Nurolaini Kifli
Bey-Hing Goh
Siang Fei Yeoh
Khang Wen Goh
Long Chiau Ming
author_facet Poh Hui Goh
Wafiah Ilyani Mahari
Norhadyrah Izazie Ahad
Li Ling Chaw
Nurolaini Kifli
Bey-Hing Goh
Siang Fei Yeoh
Khang Wen Goh
Long Chiau Ming
author_sort Poh Hui Goh
collection DOAJ
description Background: Latest clinical data on treatment on coronavirus disease 2019 (COVID-19) indicated that older patients and those with underlying history of smoking, hypertension or diabetes mellitus might have poorer prognosis of recovery from COVID-19. We aimed to examine the relationship of various prevailing population-based risk factors in comparison with mortality rate and case fatality rate (CFR) of COVID-19. Methods: Demography and epidemiology data were used, which have been identified as verified or postulated risk factors for mortality of adult inpatients with COVID-19. The number of confirmed cases and the number of deaths until April 16, 2020 for all affected countries were extracted from Johns Hopkins University COVID-19 websites. Datasets for indicators that are prevailing or postulated factors of COVID-19 mortality were extracted from the World Bank database. Out of 185 affected countries, the top 50 countries were selected for analysis in this study. The following seven variables were included in the analysis, based on data availability and completeness: 1) proportion of people aged 65 above, 2) proportion of male in the population, 3) smoking prevalence, and 4) number of hospital beds. Linear regression analysis was carried out to determine the relationship between CFR and the aforementioned risk factors. Results: United States shows approximately 0.20% of confirmed cases and it has about 4.85% of CFR. Luxembourg shows the highest percentage of confirmed cases of 0.55% but a low 2.05% of CFR, showing that a high percentage of confirmed cases does not necessarily lead to high CFR. There is a significant association between CFR, people aged 65 and above (β=4.70; p = 0.035). Conclusion: Countries with high proportion of older people above 65 years old have a significant risk of having high CFR from COVID-19. Nevertheless, gender differences and smoking prevalence failed to prove a significant relationship with COVID-19 mortality rate and CFR.
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spelling doaj-art-7f05b798e21545fcb9c3dbe2b52c691b2025-02-04T08:36:58ZengHH PublisherProgress in Microbes and Molecular Biology2637-10492020-11-013110.36877/pmmb.a0000171Risk factors affecting COVID-19 case fatality rate: A quantitative analysis of top 50 affected countriesPoh Hui GohWafiah Ilyani MahariNorhadyrah Izazie AhadLi Ling ChawNurolaini KifliBey-Hing GohSiang Fei YeohKhang Wen GohLong Chiau Ming Background: Latest clinical data on treatment on coronavirus disease 2019 (COVID-19) indicated that older patients and those with underlying history of smoking, hypertension or diabetes mellitus might have poorer prognosis of recovery from COVID-19. We aimed to examine the relationship of various prevailing population-based risk factors in comparison with mortality rate and case fatality rate (CFR) of COVID-19. Methods: Demography and epidemiology data were used, which have been identified as verified or postulated risk factors for mortality of adult inpatients with COVID-19. The number of confirmed cases and the number of deaths until April 16, 2020 for all affected countries were extracted from Johns Hopkins University COVID-19 websites. Datasets for indicators that are prevailing or postulated factors of COVID-19 mortality were extracted from the World Bank database. Out of 185 affected countries, the top 50 countries were selected for analysis in this study. The following seven variables were included in the analysis, based on data availability and completeness: 1) proportion of people aged 65 above, 2) proportion of male in the population, 3) smoking prevalence, and 4) number of hospital beds. Linear regression analysis was carried out to determine the relationship between CFR and the aforementioned risk factors. Results: United States shows approximately 0.20% of confirmed cases and it has about 4.85% of CFR. Luxembourg shows the highest percentage of confirmed cases of 0.55% but a low 2.05% of CFR, showing that a high percentage of confirmed cases does not necessarily lead to high CFR. There is a significant association between CFR, people aged 65 and above (β=4.70; p = 0.035). Conclusion: Countries with high proportion of older people above 65 years old have a significant risk of having high CFR from COVID-19. Nevertheless, gender differences and smoking prevalence failed to prove a significant relationship with COVID-19 mortality rate and CFR. https://journals.hh-publisher.com/index.php/pmmb/article/view/356
spellingShingle Poh Hui Goh
Wafiah Ilyani Mahari
Norhadyrah Izazie Ahad
Li Ling Chaw
Nurolaini Kifli
Bey-Hing Goh
Siang Fei Yeoh
Khang Wen Goh
Long Chiau Ming
Risk factors affecting COVID-19 case fatality rate: A quantitative analysis of top 50 affected countries
Progress in Microbes and Molecular Biology
title Risk factors affecting COVID-19 case fatality rate: A quantitative analysis of top 50 affected countries
title_full Risk factors affecting COVID-19 case fatality rate: A quantitative analysis of top 50 affected countries
title_fullStr Risk factors affecting COVID-19 case fatality rate: A quantitative analysis of top 50 affected countries
title_full_unstemmed Risk factors affecting COVID-19 case fatality rate: A quantitative analysis of top 50 affected countries
title_short Risk factors affecting COVID-19 case fatality rate: A quantitative analysis of top 50 affected countries
title_sort risk factors affecting covid 19 case fatality rate a quantitative analysis of top 50 affected countries
url https://journals.hh-publisher.com/index.php/pmmb/article/view/356
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