全球概况,新出现的模式和西尼罗河病毒研究网络:科学测分析
Fran Espinoza-Carhuancho1, Miguel Cabanillas-Lazo2, Daniel Alvitez-Temoche3
1Bibliometrics, Evidence Assessment and Systematic Reviews Group (BEERS), Human Medicine Career, Universidad Científica del Sur, Lima, Peru.
Journal of global infectious diseases
|January 26, 2026
概括
西尼罗河病毒 (WNV) 研究是一个全球性的关注. 这项研究分析了2019-2024年的WNV出版物,确定了关键的研究人员,机构和期刊,并强调了国际合作对WNV控制的重要性.
科学领域:
- * 公共卫生和流行病学
- * 病毒学和传染病学
- *动物传染病研究研究
背景情况:
- *西尼罗河病毒 (WNV) 构成了严重的全球健康威胁,需要强有力的监测和早期检测策略.
- * 世界各地发生了重大WNV疫情,这凸显了全面研究的紧迫性.
- *了解WNV研究环境对于有效的疾病管理和预防至关重要.
研究的目的:
- *对西尼罗河病毒 (WNV) 的全球研究成果进行映射.
- * 确定WNV研究中的新兴趋势和关键主题.
- *分析WNV研究界内的国际合作网络.
主要方法:
- * 在Scopus数据库 (2019年1月 - 2024年7月) 上进行了系统的文献搜索.
- *从2305份与WNV相关的文件中提取并分析了元数据.
- *使用SciVal和Bibliometrix工具进行了文献计量分析,以评估研究趋势和合作.
主要成果:
- *确定了WNV研究中的著名研究人员和机构,包括Ute Ziegler,Giovanni Savini和Sylvie Lecollinet.
- *该领域的领先期刊包括病毒,病原体,医学昆虫学杂志,载体传播和动物传播疾病以及PLOS被忽视的热带疾病.
- * 美国在对应作者方面领先,大多数出版物都在第一季度 (Q1),尽管观察到出版量下降的趋势.
结论:
- * 该研究提供了关于全球WNV研究范围,影响和影响的全面概述.
- * 调查结果强调了国际合作在推进WNV控制策略方面的关键作用.
- * 持续的研究和协作努力对于减轻西尼罗河病毒影响至关重要.
相关概念视频
Global Climate Change
28.9K
Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
28.9K
Protein Networks
4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
Emerging Adulthood
656
Jeffrey Arnett's concept of emerging adulthood offers a framework to understand the unique developmental stage between adolescence and full-fledged adulthood, generally from ages 18 to 25. This period is marked by extensive exploration and shifts in identity, relationships, and career choices, a process known in psychology as role experimentation. Emerging adulthood reflects the evolving cultural expectations surrounding adulthood and the dynamic process of personal transformation during...
656
Electrogravimetric Analysis: Overview
797
Electrogravimetric analysis measures the weight of an analyte deposited electrolytically onto a suitable working electrode. This method involves applying a potential to a pre-weighed electrode submerged in a solution, which results in the desired substance being deposited through reduction at the cathode or oxidation at the anode. The electrode's weight is recorded after deposition, and the difference in weight gives the analyte's weight in the solution.
To test the completeness of the...
To test the completeness of the...
797
Statistical Analysis: Overview
16.5K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
16.5K
Sample Preparation for Analysis: Overview
3.7K
Sample preparation is an essential step in the analytical process. It involves preparing a sample so that it can be analyzed accurately. The goal is to extract the analyte, the substance you want to measure, from the sample while removing any components that may interfere with the analysis. Sample preparation techniques vary depending on the physical state of the sample.
Bulk or large solid samples are typically reduced in size using grinding, crushing, or milling techniques to increase the...
Bulk or large solid samples are typically reduced in size using grinding, crushing, or milling techniques to increase the...
3.7K


