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National case fatality rates of the COVID-19 pandemic.
Ergönül, Önder; Akyol, Merve; Tanriöver, Cem; Tiemeier, Henning; Petersen, Eskild; Petrosillo, Nicola; Gönen, Mehmet.
  • Ergönül Ö; Koç University, School of Medicine, Department of Infectious Diseases and Clinical Microbiology, Istanbul, Turkey; Koç University Research Centre for Infectious Diseases, Istanbul, Turkey; ESCMID Emerging Infections Task Force, ESCMID, Basel, Switzerland. Electronic address: oergonul@ku.edu.tr.
  • Akyol M; Koç University, School of Medicine, Istanbul, Turkey.
  • Tanriöver C; Koç University, School of Medicine, Istanbul, Turkey.
  • Tiemeier H; Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Petersen E; ESCMID Emerging Infections Task Force, ESCMID, Basel, Switzerland; Institute for Clinical Medicine, Faculty of Health Sciences, University of Aarhus, Denmark.
  • Petrosillo N; ESCMID Emerging Infections Task Force, ESCMID, Basel, Switzerland; National Institute for Infectious Diseases 'L. Spallanzani', IRCCS, Rome, Italy.
  • Gönen M; Koç University Research Centre for Infectious Diseases, Istanbul, Turkey; Koç University, School of Medicine, Istanbul, Turkey; Koç University, College of Engineering, Department of Industrial Engineering, Istanbul, Turkey.
Clin Microbiol Infect ; 27(1): 118-124, 2021 Jan.
Article in English | MEDLINE | ID: covidwho-785394
ABSTRACT

OBJECTIVES:

The case fatality rate (CFR) of coronavirus disease 2019 (COVID-19) varies significantly between countries. We aimed to describe the associations between health indicators and the national CFRs of COVID-19.

METHODS:

We identified for each country health indicators potentially associated with the national CFRs of COVID-19. We extracted data for 18 variables from international administrative data sources for 34 member countries of the Organization for Economic Cooperation and Development (OECD). We excluded the collinear variables and examined the 16 variables in multivariable analysis. A dynamic web-based model was developed to analyse and display the associations for the CFRs of COVID-19. We followed the Guideline for Accurate and Transparent Health Estimates Reporting (GATHER).

RESULTS:

In multivariable analysis, the variables significantly associated with the increased CFRs were percentage of obesity in ages >18 years (ß = 3.26; 95%CI = 1.20, 5.33; p 0.003), tuberculosis incidence (ß = 3.15; 95%CI = 1.09, 5.22; p 0.004), duration (days) since first death due to COVID-19 (ß = 2.89; 95%CI = 0.83, 4.96; p 0.008), and median age (ß = 2.83; 95%CI = 0.76, 4.89; p 0.009). The COVID-19 test rate (ß = -3.54; 95%CI = -5.60, -1.47; p 0.002), hospital bed density (ß = -2.47; 95%CI = -4.54, -0.41; p 0.021), and rural population ratio (ß = -2.19; 95%CI = -4.25, -0.13; p 0.039) decreased the CFR.

CONCLUSIONS:

The pandemic hits population-dense cities. Available hospital beds should be increased. Test capacity should be increased to enable more effective diagnostic tests. Older patients and patients with obesity and their caregivers should be warned about a potentially increased risk.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Tuberculosis, Pulmonary / COVID-19 / Obesity Type of study: Diagnostic study / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia / Europa / Oceania Language: English Journal: Clin Microbiol Infect Journal subject: Communicable Diseases / Microbiology Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Tuberculosis, Pulmonary / COVID-19 / Obesity Type of study: Diagnostic study / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia / Europa / Oceania Language: English Journal: Clin Microbiol Infect Journal subject: Communicable Diseases / Microbiology Year: 2021 Document Type: Article