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Risk factors affecting COVID-19 case fatality rate: A quantitative analysis of top 50 affected countries
Hui Poh Goh; Wafiah Ilyani Mahari; Norhadyrah Izazie Ahad; Liling Chaw; Nurolaini Kifli; Bey Hing Goh; Siang Fei Yeoh; Long Chiau Ming.
Affiliation
  • Hui Poh Goh; PAPRSB Institute of Health Sciences, Universiti Brunei Darussalam
  • Wafiah Ilyani Mahari; PAPRSB Institute of Health Sciences, Universiti Brunei Darussalam
  • Norhadyrah Izazie Ahad; PAPRSB Institute of Health Sciences, Universiti Brunei Darussalam
  • Liling Chaw; PAPRSB Institute of Health Sciences, Universiti Brunei Darussalam
  • Nurolaini Kifli; PAPRSB Institute of Health Sciences, Universiti Brunei Darussalam
  • Bey Hing Goh; Monash University Malaysia
  • Siang Fei Yeoh; Department of Pharmacy, National University Health System, Singapore
  • Long Chiau Ming; PAPRSB Institute of Health Sciences, Universiti Brunei Darussalam
Preprint in English | medRxiv | ID: ppmedrxiv-20108449
ABSTRACT
BackgroundLatest 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. MethodsDemography and epidemiology data which have been identified as verified or postulated risk factors for mortality of adult inpatients with COVID-19 were used. 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 fitting with the factors of COVID-19 mortality were extracted from the World Bank database. Out of about 185 affected countries, only top 50 countries were selected to be analyzed 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) diabetes prevalence, 4) smoking prevalence, 5) current health expenditure, 6) number of hospital beds and 7) number of nurses and midwives. Quantitative analysis was carried out to determine the correlation between CFR and the aforementioned risk factors. ResultsUnited States shows about 0.20% of confirmed cases in its country 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 correlation between CFR, people aged 65 and above (p = 0.35) and diabetes prevalence (p = 0.01). However, in our study, there is no significant correlation between CFR of COVID-19, male gender (p = 0.26) and smoking prevalence (p = 0.60). ConclusionOlder people above 65 years old and diabetic patients are significant risk factors for COVID-19. Nevertheless, gender differences and smoking prevalence failed to prove a significant relationship with COVID-19 mortality rate and CFR.
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study / Prognostic study Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study / Prognostic study Language: English Year: 2020 Document type: Preprint
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