从2013年到2022年对疫苗接种犹研究的图书统计和视觉分析
Chaojian Chen1, Qiuping Yang1, Huiting Tian1
1Department of Breast, The First People's Hospital of Shao Guan, Shaoguan, Guangdong, China.
Human vaccines & immunotherapeutics
|June 30, 2023
概括
对于接种疫苗的犹,延迟或拒绝接种疫苗,会对公众健康产生重大影响. 从2020年到2022年,关于这一主题的研究急剧增加,特别是关于COVID-19疫苗的研究.
科学领域:
- 公共卫生 公共卫生
- 图书统计学 图书统计学
- 疫苗学 疫苗学 疫苗学
背景情况:
- 疫苗接种是公共卫生的基石,但疫苗接种犹是一个重大挑战.
- 疫苗犹被定义为接受或拒绝疫苗的延迟,即使服务可用.
- 了解疫苗接种犹的研究环境对于解决其公共卫生影响至关重要.
研究的目的:
- 对2013年至2022年期间发表的疫苗接种犹研究进行文献计量分析.
- 提供关于该领域的趋势,主要贡献者和有影响力的出版物的全面概述.
- 确定与疫苗接种犹相关的新兴主题和未来研究方向.
主要方法:
- 从科学网络核心集合数据库 (2013-2022) 获取的4042个出版物的图书统计分析.
- 分析出版趋势,地理分布,机构贡献,主要期刊和作者.
- 使用文献计量R包,VOSviewer和CiteSpace软件进行数据分析和可视化.
主要成果:
- 到2020年,出版物略有增加,随后从2020年到2022年大幅增加,与COVID-19流行病相吻合.
- 美国在文章制作和国际合作方面处于领先地位;伦敦卫生与热带医学学院是最活跃的机构.
- 杂志"疫苗"被引用最多",疫苗"最富有成效;Dube E是最富有成效的作者,h指数最高. 关键词包括"疫苗犹"",COVID-19"",免疫"",态度"和"意愿".
结论:
- 疫苗接种犹显著阻碍了全球公共卫生目标.
- 影响犹的因素是动态的,因时间,地理和特定疫苗而有所不同.
- 随着COVID-19大流行和疫苗研发,研究重点加剧,突出了进一步研究复杂,特定背景的犹驱动因素的必要性.
相关概念视频
Vaccinations
44.8K
Overview
44.8K
Bias in Epidemiological Studies
369
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
369
Cancer Vaccines
428
Cancer treatment vaccines are a rapidly evolving field that offers a promising approach to immunotherapy. Unlike traditional vaccines that prevent diseases, cancer treatment vaccines are designed to treat existing cancers by stimulating the immune system to recognize and attack cancer cells.
Cancer vaccines come in two categories: preventive (prophylactic) and treatment (active). Preventive vaccines, such as the Human Papillomavirus (HPV) vaccine, protect against viruses that cause certain...
Cancer vaccines come in two categories: preventive (prophylactic) and treatment (active). Preventive vaccines, such as the Human Papillomavirus (HPV) vaccine, protect against viruses that cause certain...
428
Statistical Methods for Analyzing Epidemiological Data
425
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
425
Prevalence and Incidence
638
In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
638
Analysis of Population Pharmacokinetic Data
300
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
300


