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Current Research in Vaccines Vaccination最新文献

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Unveiling the Silent Voice: A Rare Case of Speech Disorder in Acute Rheumatic Fever without Structural Damage 揭示沉默的声音:一例罕见的急性风湿热无结构损伤的语言障碍
Pub Date : 2023-09-02 DOI: 10.33140/crvv.02.03.03
Aphonia is a condition that renders an individual incapable of producing sounds. Based on JONES CRITERIA and imaging studies, a conclusive diagnosis of this condition was made in a 13-year-old patient suffering from acute rheumatic fever. The patient exhibited symptoms of chorea, low-grade fever, and aphonia.
失音症是一种使人不能发出声音的状态。基于JONES标准和影像学研究,对一名患有急性风湿热的13岁患者进行了结论性诊断。病人表现出舞蹈病、低烧和失音的症状。
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引用次数: 0
Patterns and Contexts of Anti-COVID-19 Vaccination in Romanian Local Communities 罗马尼亚当地社区抗covid -19疫苗接种的模式和背景
Pub Date : 2023-01-03 DOI: 10.33140/crvv.02.01.01
Background: Are local communities relevant units for the analysis of anti-COVID 19 vaccination? This is the question we are addressing here for the case of Romania as an Eastern European society. Methods: To answer the question we used multiple regression models to predict cumulative rates of vaccination in rural communes and cities or towns of the country. The same relations among vaccination rates and several predictors were analysed not only in all the localities of the country but also in historical regions and urban versus rural areas. Results: Infection rates, the average age of the local population, population density and local human development proved to be rather stable predictors. Communities with higher vaccination rates are mostly urban, higher developed, with an older population, and also with higher rates of COVID-19 infections. Once local communities are placed in their regional context, significant differences emerge. Conclusions: Some variables are efficient discriminators of the vaccination behaviour irrespective of individual or aggregated level of the data. This is the case of age. If one considers only aggregated data at the community level in Romania, one can add infection rates and local development levels as invariant predictors acting beyond context
背景:当地社区是抗covid - 19疫苗接种分析的相关单位吗?这是我们在罗马尼亚作为一个东欧社会的情况下要解决的问题。方法:为了回答这一问题,我们采用多元回归模型预测我国农村公社和城镇的累计疫苗接种率。不仅在全国所有地区,而且在历史地区和城市与农村地区分析了疫苗接种率和几个预测因素之间的相同关系。结果:感染率、当地人口平均年龄、人口密度和当地人类发展程度是较为稳定的预测因子。疫苗接种率较高的社区大多是城市,较为发达,人口老龄化,COVID-19感染率也较高。一旦将当地社区置于其区域背景中,就会出现显著差异。结论:一些变量是疫苗接种行为的有效鉴别器,无论数据的个人或总体水平如何。这是年龄的问题。如果只考虑罗马尼亚社区一级的汇总数据,则可以将感染率和地方发展水平作为超越背景的不变预测因素
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引用次数: 0
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Current Research in Vaccines Vaccination
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