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A country level analysis measuring the impact of government actions, country preparedness and socioeconomic factors on COVID-19 mortality and related health outcomes.
Chaudhry, Rabail; Dranitsaris, George; Mubashir, Talha; Bartoszko, Justyna; Riazi, Sheila.
  • Chaudhry R; Department of Anesthesiology and Pain Medicine, University of Toronto, University Health Network, 323-200 Elizabeth Street, Toronto, ON M5G 2C4, Canada.
  • Dranitsaris G; Department of Hematology, School of Medicine, University of Ioannina, Ioannina 451 10 Greece.
  • Mubashir T; Department of Anesthesiology, McGovern Medical School, University of Texas Health Science Center at Houston (UT Health), 7000 Fannin St, Houston, TX 77030, United States.
  • Bartoszko J; Department of Anesthesiology and Pain Medicine, University of Toronto, University Health Network, 323-200 Elizabeth Street, Toronto, ON M5G 2C4, Canada.
  • Riazi S; Department of Anesthesiology and Pain Medicine, University of Toronto, University Health Network, 323-200 Elizabeth Street, Toronto, ON M5G 2C4, Canada.
EClinicalMedicine ; 25: 100464, 2020 Aug.
Article in English | MEDLINE | ID: covidwho-1047555
ABSTRACT

BACKGROUND:

A country level exploratory analysis was conducted to assess the impact of timing and type of national health policy/actions undertaken towards COVID-19 mortality and related health outcomes.

METHODS:

Information on COVID-19 policies and health outcomes were extracted from websites and country specific sources. Data collection included the government's action, level of national preparedness, and country specific socioeconomic factors. Data was collected from the top 50 countries ranked by number of cases. Multivariable negative binomial regression was used to identify factors associated with COVID-19 mortality and related health outcomes.

FINDINGS:

Increasing COVID-19 caseloads were associated with countries with higher obesity (adjusted rate ratio [RR]=1.06; 95%CI 1.01-1.11), median population age (RR=1.10; 95%CI 1.05-1.15) and longer time to border closures from the first reported case (RR=1.04; 95%CI 1.01-1.08). Increased mortality per million was significantly associated with higher obesity prevalence (RR=1.12; 95%CI 1.06-1.19) and per capita gross domestic product (GDP) (RR=1.03; 95%CI 1.00-1.06). Reduced income dispersion reduced mortality (RR=0.88; 95%CI 0.83-0.93) and the number of critical cases (RR=0.92; 95% CI 0.87-0.97). Rapid border closures, full lockdowns, and wide-spread testing were not associated with COVID-19 mortality per million people. However, full lockdowns (RR=2.47 95%CI 1.08-5.64) and reduced country vulnerability to biological threats (i.e. high scores on the global health security scale for risk environment) (RR=1.55; 95%CI 1.13-2.12) were significantly associated with increased patient recovery rates.

INTERPRETATION:

In this exploratory analysis, low levels of national preparedness, scale of testing and population characteristics were associated with increased national case load and overall mortality.

FUNDING:

This study is non-funded.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study Language: English Journal: EClinicalMedicine Year: 2020 Document Type: Article Affiliation country: J.eclinm.2020.100464

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study Language: English Journal: EClinicalMedicine Year: 2020 Document Type: Article Affiliation country: J.eclinm.2020.100464