受人类发展不平等和疫苗接种率影响的全球COVID-19病例死亡率。

Discover Social Science and Health Pub Date : 2022-01-01 Epub Date: 2022-11-01 DOI:10.1007/s44155-022-00022-0
Kaamel Nuhu, Kamal Humagain, Genevieve Alorbi, Sabena Thomas, Alexis Blavos, Vierne Placide
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引用次数: 90

摘要

目的:COVID-19给人类生活的几乎每个方面都带来了痛苦,给老年人和有潜在疾病的人带来了不成比例的死亡率负担。各国COVID-19发病率和病死率(CFRs)的差异引发了人们对社会因素对COVID-19病例负荷和病死率影响的研究兴趣。我们调查了人口年龄中位数、人类发展不平等、医疗保健能力和大流行缓解指标对各国和地区具体国家COVID-19 cfr的影响。研究对象和方法:利用多种来源的人口二手数据,我们进行了横断面研究,并采用区域分析来比较COVID-19 cfr在选定指标影响下的区域差异。结果:分析显示,不同国家和地区的COVID-19病死率和选定指标存在很大差异。南美洲的平均病死率最高,为1.973%(±0.742),大洋洲最低,为0.264%(±0.107),而非洲次区域在大流行防范、疫苗接种率和其他指标上得分最低。人口中位年龄[0.073(0.033 0.113))]、疫苗接种率[-3.3389(-5.570.033 -1.208)]和不平等调整人类发展指数(IHDI)[-0.014(-0.023 -0.004)]是COVID-19 CFR的预测因子,方向表明人口中位年龄越高、人类发展不平等程度越高和疫苗接种率越低预示着COVID-19死亡率越高。结论:2019冠状病毒病死率的地区差异可能受到社会人口统计学和大流行缓解指标潜在差异的影响。社会不平等现象普遍、人口中位数年龄增加和疫苗接种率低的人口更有可能因COVID-19而死亡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Global COVID-19 case fatality rates influenced by inequalities in human development and vaccination rates.

Global COVID-19 case fatality rates influenced by inequalities in human development and vaccination rates.

Global COVID-19 case fatality rates influenced by inequalities in human development and vaccination rates.

Aim: COVID-19 has exerted distress on virtually every aspect of human life with disproportionate mortality burdens on older individuals and those with underlying medical conditions. Variations in COVID-19 incidence and case fatality rates (CFRs) across countries have incited a growing research interest regarding the effect of social factors on COVID-19 case-loads and fatality rates. We investigated the effect of population median age, inequalities in human development, healthcare capacity, and pandemic mitigation indicators on country-specific COVID-19 CFRs across countries and regions.

Subject and methods: Using population secondary data from multiple sources, we conducted a cross-sectional study and used regional analysis to compare regional differences in COVID-19 CFRs as influenced by the selected indicators.

Results: The analysis revealed wide variations in COVID-19 CFRs and the selected indicators across countries and regions. Mean CFR was highest for South America at 1.973% (± 0.742) and lowest for Oceania at 0.264% (± 0.107), while the Africa sub-region recorded the lowest scores for pandemic preparedness, vaccination rate, and other indicators. Population Median Age [0.073 (0.033 0.113)], Vaccination Rate [-3.3389 (-5.570.033 -1.208)], and Inequality-Adjusted Human Development Index (IHDI) [-0.014 (-0.023 -0.004)] emerged as statistically significant predictors of COVID-19 CFR, with directions indicating increasing Population Median Age, higher inequalities in human development and low vaccination rate are predictive of higher fatalities from COVID-19.

Conclusion: Regional differences in COVID-19 CFR may be influenced by underlying differences in sociodemographic and pandemic mitigation indicators. Populations with wide social inequalities, increased population Median Age and low vaccination rates are more likely to suffer higher fatalities from COVID-19.

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来源期刊
Discover Social Science and Health
Discover Social Science and Health intersection of health and social sciences-
CiteScore
0.60
自引率
0.00%
发文量
21
审稿时长
22 days
期刊介绍: Discover Social Science and Health is an interdisciplinary, international journal that publishes papers at the intersection of the social and biomedical sciences. Papers should integrate, in both theory and measures, a social perspective (reflecting anthropology, criminology, economics, epidemiology, policy, sociology, etc) and a concern for health (mental and physical). Health, broadly construed, includes biological and other indicators of overall health, symptoms, diseases, diagnoses, treatments, treatment adherence, and related concerns. Drawing on diverse, sound methodologies, submissions may include reports of new empirical findings (including important null findings) and replications, reviews and perspectives that construe prior research and discuss future research agendas, methodological research (including the evaluation of measures, samples, and modeling strategies), and short or long commentaries on topics of wide interest. All submissions should include statements of significance with respect to health and future research. Discover Social Science and Health is an Open Access journal that supports the pre-registration of studies. Topics Papers suitable for Discover Social Science and Health will include both social and biomedical theory and data. Illustrative examples of themes include race/ethnicity, sex/gender, socioeconomic, geographic, and other social disparities in health; migration and health; spatial distribution of risk factors and access to healthcare; health and social relationships; interactional processes in healthcare, treatments, and outcomes; life course patterns of health and treatment regimens; cross-national patterns in health and health policies; characteristics of communities and neighborhoods and health; social networks and treatment adherence; stigma and disease progression; methodological studies including psychometric properties of measures frequently used in health research; and commentary and analysis of key concepts, theories, and methods in studies of social science and biomedicine. The journal welcomes submissions that draw on biomarkers of health, genetically-informed and neuroimaging data, psychophysiological measures, and other forms of data that describe physical and mental health, access to health care, treatment, and related constructs.
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