Country-level determinants of COVID-19 case rates and death rates: An ecological study

被引:11
|
作者
El Mouhayyar, Christopher [1 ,2 ]
Jaber, Luke T. [3 ]
Bergmann, Matthias [1 ,2 ]
Tighiouart, Hocine [4 ,5 ]
Jaber, Bertrand L. [1 ,2 ]
机构
[1] St Elizabeths Med Ctr, Dept Med, 736 Cambridge St, Boston, MA 02135 USA
[2] Tufts Univ, Sch Med, Dept Med, Boston, MA 02111 USA
[3] Bentley Univ, Waltham, MA 02452 USA
[4] Tufts Med Ctr, Inst Clin Res & Hlth Policy Studies, Boston, MA 02111 USA
[5] Tufts Univ, Tufts Clin & Translat Sci Inst, Boston, MA 02111 USA
基金
美国国家卫生研究院;
关键词
COVID-19; economics; environment and public health; geographic locations; population health; SARS-CoV-2; OBESITY;
D O I
10.1111/tbed.14360
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
The Coronavirus Disease 2019 (COVID-19) pandemic has had a variable worldwide impact, likely related to country-level characteristics. In this ecological study, we explored the association of COVID-19 case rates (per 100,000 people) and death rates (per 100,000 people) with country-level population health characteristics, economic and human development indicators, and habitat-related variables. To calculate country-level COVID-19 case and death rates, the number of cases and deaths were extracted from the Johns Hopkins Coronavirus Resource Center through September 30, 2021. Country-level population health characteristics, economic, human development, and habitat-related indicators were extracted from several publicly available online sources of international organizations. Results were tabulated according to world zones and country economies. Unadjusted and adjusted multiple imputation linear regression analyses were performed to examine the association between country-level variables (per 1-standard deviation [SD] increase) and COVID-19 case and death rates. To satisfy the linear regression model assumptions of normality of residuals, we used the square root transformation of both outcomes. A total of 187 countries and territories were analyzed, with a median (25th, 75th percentiles) aggregate COVID-19 case rate of 3,605 (463, 8,228) per 100,000, a COVID-19 death rate of 45.9 (8.9, 137.1) per 100,000, and a case-fatality rate of 1.6% (1.2%, 2.6%). On multivariable analyses, each country-level 1-SD higher percentage of adults with obesity (beta coefficient 13.7; 95% confidence interval [CI] 13.7; 8.9, 18.4), percentage of smokers (5.8; 95% CI 1.2, 10.5), percentage of adults with high blood pressure (4.9; 95% CI 0.3, 9.6), and gross national income (GNI) per capita (9.5; 95% CI 4.6, 14.5) was independently associated with higher square root of COVID-19 case rate, while average household size (-1.7; 95% CI -12.3, -3.2) was independently associated with lower square root of COVID-19 case rate. Similarly, each 1-SD higher percentage of adults with obesity (1.76; 95% CI 0.99, 2.52), percentage of adults with high blood pressure (1.11; 95% CI 0.48, 1.74), percentage of adults with physical inactivity (1.01; 95% CI 0.10, 1.191), and travel & tourism competitiveness index (1.05; 95% CI 0.06, 2.04) was independently associated with higher square root of COVID-19 death rate, whereas GNI per capita (-0.92; 95% CI -1.81, -0.03), and average household size (-1.07; 95% CI -1.87, -0.27) was independently associated with lower square root of COVID-19 death rate. This ecological study informs the need to develop country-specific public health interventions to better target populations at high risk for COVID-19, and test interventions to prevent transmission of SARS-CoV-2, taking into consideration cross-country differences in population health characteristics, and economic, human development and habitat-related factors.
引用
收藏
页码:E906 / E915
页数:10
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