{"title":"COVID-19病例死亡率的时空变化和影响因素:2021年2月至2022年5月在30个国家开展的全球研究。","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":"{\"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}","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
摘要
为了评估 COVID-19 病例死亡率(CFR)在不同地区和不同波次中的差异,以及公共卫生干预措施、社会和经济特征以及人口因素对 COVID-19 病例死亡率的影响,我们收集了发病率最高的 30 个国家在三个波次中的数据。我们通过荟萃分析总结了不同国家和大洲在每个波次中的 CFRs。采用斯皮尔曼相关和多元线性回归估算了影响因素与 CFRs 下降率之间的相关性。在三个波次中,不同地区的病死率(P r s = 0.41)、人口密度(r s = 0.43)、65 岁以上人口比例(r s = 0.43)和病死率降低率之间存在显著差异。与第 1 波相比,第 2 波的降低率与人口密度(β = 0.19,95%CI:0.05-0.33)和吸烟率(β = -4.66,95%CI:-8.98 --0.33)相关,而在第 3 波,降低率与强化疫苗接种率(β = 0.60,95%CI:0.11-1.09)和每千人医院床位数(β = 4.15,95%CI:1.41-6.89)相关。这些研究结果表明,COVID-19 CFRs 在不同国家和波次之间存在差异,推广加强接种疫苗、增加医院床位和实施烟草控制措施有助于降低 CFRs。
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.
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.