The spatial-temporal variations and influencing factors of COVID-19 case fatality rate: a worldwide study in 30 countries from February 2021 to May 2022.
{"title":"The spatial-temporal variations and influencing factors of COVID-19 case fatality rate: a worldwide study in 30 countries from February 2021 to May 2022.","authors":"Jing Zhao, Xing Huang, Xing Li, Bing Li, Zuhua Rong, Xu Huang, Ruiqi Ren, Dan Li, Chao Li, Qun Li, Jianpeng Xiao, Guoqing Shi","doi":"10.1017/S0950268824000852","DOIUrl":null,"url":null,"abstract":"<p><p>To evaluate the variations in COVID-19 case fatality rates (CFRs) across different regions and waves, and the impact of public health interventions, social and economic characteristics, and demographic factors on COVID-19 CFRs, we collected data from 30 countries with the highest incidence rate in three waves. We summarized the CFRs of different countries and continents in each wave through meta-analysis. Spearman's correlation and multiple linear regression were employed to estimate the correlation between influencing factors and reduction rates of CFRs. Significant differences in CFRs were observed among different regions during the three waves (<i>P</i> < 0.001). An association was found between the changes in fully vaccinated rates (<i>r</i> <sub><i>s</i></sub> = 0.41), population density (<i>r</i> <sub><i>s</i></sub> = 0.43), the proportion of individuals over 65 years old (<i>r</i> <sub><i>s</i></sub> = 0.43), and the reduction rates of case fatality rate. Compared to Wave 1, the reduction rates in Wave 2 were associated with population density (<i>β</i> = 0.19, 95%<i>CI</i>: 0.05-0.33) and smoking rates (<i>β</i> = -4.66, 95%<i>CI</i>: -8.98 - -0.33), while in Wave 3 it was associated with booster vaccine rates (<i>β</i> = 0.60, 95%<i>CI</i>: 0.11-1.09) and hospital beds per thousand people (<i>β</i> = 4.15, 95%<i>CI</i>: 1.41-6.89). These findings suggest that the COVID-19 CFRs varied across different countries and waves, and promoting booster vaccinations, increasing hospital bed capacity, and implementing tobacco control measures can help reduce CFRs.</p>","PeriodicalId":11721,"journal":{"name":"Epidemiology and Infection","volume":"152 ","pages":"e124"},"PeriodicalIF":2.5000,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11502459/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epidemiology and Infection","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1017/S0950268824000852","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0
Abstract
To evaluate the variations in COVID-19 case fatality rates (CFRs) across different regions and waves, and the impact of public health interventions, social and economic characteristics, and demographic factors on COVID-19 CFRs, we collected data from 30 countries with the highest incidence rate in three waves. We summarized the CFRs of different countries and continents in each wave through meta-analysis. Spearman's correlation and multiple linear regression were employed to estimate the correlation between influencing factors and reduction rates of CFRs. Significant differences in CFRs were observed among different regions during the three waves (P < 0.001). An association was found between the changes in fully vaccinated rates (rs = 0.41), population density (rs = 0.43), the proportion of individuals over 65 years old (rs = 0.43), and the reduction rates of case fatality rate. Compared to Wave 1, the reduction rates in Wave 2 were associated with population density (β = 0.19, 95%CI: 0.05-0.33) and smoking rates (β = -4.66, 95%CI: -8.98 - -0.33), while in Wave 3 it was associated with booster vaccine rates (β = 0.60, 95%CI: 0.11-1.09) and hospital beds per thousand people (β = 4.15, 95%CI: 1.41-6.89). These findings suggest that the COVID-19 CFRs varied across different countries and waves, and promoting booster vaccinations, increasing hospital bed capacity, and implementing tobacco control measures can help reduce CFRs.
期刊介绍:
Epidemiology & Infection publishes original reports and reviews on all aspects of infection in humans and animals. Particular emphasis is given to the epidemiology, prevention and control of infectious diseases. The scope covers the zoonoses, outbreaks, food hygiene, vaccine studies, statistics and the clinical, social and public-health aspects of infectious disease, as well as some tropical infections. It has become the key international periodical in which to find the latest reports on recently discovered infections and new technology. For those concerned with policy and planning for the control of infections, the papers on mathematical modelling of epidemics caused by historical, current and emergent infections are of particular value.