Variations of COVID-19 mortality are affected by economic disparities across countries

被引:7
|
作者
Yao, Lan [1 ]
Aleya, Lotfi [2 ]
Howard, Scott C. [3 ]
Cao, Yanhong [4 ,9 ]
Wang, Cong-Yi [5 ]
Day, Sara W. [3 ]
Graff, J. Carolyn [3 ]
Sun, Dianjun [4 ,9 ]
Gu, Weikuan [6 ,7 ,8 ]
机构
[1] Univ Tennessee Hlth Sci Ctr, Coll Grad Hlth Sci, Hlth Outcomes & Policy Res, Memphis, TN 38103 USA
[2] Bourgogne Franche Comte Univ, Chrono Environm Lab, UMR CNRS 6249, F-25030 Besancon, France
[3] Univ Tennessee Hlth Sci Ctr, Coll Nursing, Memphis, TN 38105 USA
[4] Harbin Med Univ, Ctr Endem Mame Control, Chinese Ctr Dis Control & Prevent, Harbin, Peoples R China
[5] Huazhong Univ Sci & Technol, Tongji Hosp, Ctr Biomed Res,Tongji Med Coll, Dept Resp & Crit Care Med,NHC Key Lab Resp Dis, Wuhan 430030, Peoples R China
[6] Univ Tennessee Hlth Sci Ctr, Dept Orthoped Surg, Memphis, TN 38163 USA
[7] Univ Tennessee Hlth Sci Ctr, BME Campbell Clin, Memphis, TN 38163 USA
[8] Memphis VA Med Ctr, Res Serv, 1030 Jefferson Ave, Memphis, TN 38104 USA
[9] Heilongjiang Prov & Minist Hlth 23618104, Key Lab Etiolog Epidemiol, Educ Bur, Harbin 150081, Heilongjiang, Peoples R China
关键词
COVID-19; Economy; Income levels; Mortality; Waves; Policy; Turning points;
D O I
10.1016/j.scitotenv.2022.154770
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: When the COVID-19 case number reaches a maximum in a country, its capacity and management of health system face greatest challenge.Methods: We performed a cross-sectional study on data of turning points for cases and deaths for the first three waves of COVID-19 in countries with more than 5000 cumulative cases, as reported by Worldometers and WHO Coronavirus (COVID-19) Dashboard. We compared the case fatality rates (CFRs) and time lags (in unit of day) between the turning points of cases and deaths among countries in different development stages and potential influence factors.As of May 10, 2021, 106 out of 222 countries or regions (56%) reported more than 5000 cases. Approximately half of them have experienced all the three waves of COVID-19 disease. The average mortality rate at the disease turning point was 0.038 for the first wave, 0.020 for the second wave, and 0.023 for wave 3. In high-income countries, the mortality rates during the first wave are higher than that of the other income levels. However, the mortality rates during the second and third waves of COVID-19 were much lower than those of the first wave, with a significant reduction from 5.7% to 1.7% approximately 70%. At the same time, high-income countries exhibited a 2-fold increase in time lags during the second and the third waves compared to the first wave, suggesting that the periods between the cases and deaths turning point extended. High rates in the first wave in developed countries are associated to multiple factors including transportation, population density, and aging populations. In upper middle-and lower middle-income countries, the decreasing of mortality rates in the second and third waves were subtle or even reversed, with increased mortality during the following waves. In the upper and lower middle-income countries, the time lags were about 50% of the durations observed from high-income countries. Interpretation: Economy and medical resources affect the efficiency of COVID-19 mitigation and the clinical outcomes of the patients. The situation is likely to become even worse in the light of these countries' limited ability to combat COVID-19 and prevent severe outcomes or deaths as the new variant transmission becomes dominant.
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页数:11
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