Time-series comparison of COVID-19 case fatality rates across 21 countries with adjustment for multiple covariates
	    		
		   		
		   			 
		   		
	    	
    	 
    	10.24171/j.phrp.2022.0212
   		
        
        	
        	
        	
        		- Author:
	        		
		        		
		        		
			        		Yongmoon KIM
			        		
			        		
			        		
			        			1
			        			
			        		
			        		
			        		
			        		
			        		;
		        		
		        		
		        		
			        		Bryan Inho KIM
			        		
			        		;
		        		
		        		
		        		
			        		Sangwoo TAK
			        		
			        		
		        		
		        		
		        		
    Author Information Author Information
 
			        		
			        		
			        			1. Division of Risk Assessment, Bureau of Public Health Emergency Preparedness, Korea Disease Control and Prevention Agency, Cheongju, Korea
 
 
- Publication Type:Original Article
- From:
	            		
	            			Osong Public Health and Research Perspectives
	            		
	            		 2022;13(6):424-434
	            	
            	
- CountryRepublic of Korea
- Language:English
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		        	Abstract:
			       	
			       		
				        
				        	 Objectives:Although it is widely used as a measure for mortality, the case fatality rate (CFR) of coronavirus disease 2019 (COVID-19) can vary over time and fluctuate for many reasons other than viral characteristics. To compare the CFRs of different countries in equal measure, we estimated comparable CFRs after adjusting for multiple covariates and examined the main factors that contributed to variability in the CFRs among 21 countries. 
				        	
 Methods:For statistical analysis, time-series cross-sectional data were collected from Our World in Data, CoVariants.org, and GISAID. Biweekly CFRs of COVID-19 were estimated by pooled generalized linear squares regression models for the panel data. Covariates included the predominant virus variant, reproduction rate, vaccination, national economic status, hospital beds, diabetes prevalence, and population share of individuals older than age 65. In total, 21 countries were eligible for analysis.
 Results:Adjustment for covariates reduced variation in the CFRs of COVID-19 across countries and over time. Regression results showed that the dominant spread of the Omicron variant, reproduction rate, and vaccination were associated with lower country-level CFRs, whereas age, the extreme poverty rate, and diabetes prevalence were associated with higher country-level CFRs.
 Conclusion:A direct comparison of crude CFRs among countries may be fallacious, especially in a cross-sectional analysis. Our study presents an adjusted comparison of CFRs over time for a more proper comparison. In addition, our findings suggest that comparing CFRs among different countries without considering their context, such as the epidemic phase, medical capacity, surveillance strategy, and socio-demographic traits, should be avoided.