相关实验视频

Updated: Sep 16, 2025

Application of Long-term cultured Interferon-γ Enzyme-linked Immunospot Assay for Assessing Effector and Memory T Cell Responses in Cattle

Application of Long-term cultured Interferon-γ Enzyme-linked Immunospot Assay for Assessing Effector and Memory T Cell Responses in Cattle

Published on: July 11, 2015

绘制牛群中Mycoplasma bovis感染的全球分布图 (2000-2024):一个地理空间建模分析

Yajing Su¹, Gang Zhao², Jinrui Xu²

¹Key Laboratory of Ministry of Education for Conservation and Utilization of Special Biological Resources in the Western China, Ningxia University, Yinchuan, Ningxia 750021, China; Ningxia Key Laboratory of Clinical and Pathogenic Microbiology, Institute of Medical Sciences, General Hospital of Ningxia Medical University, Yinchuan, Ningxia 750004, China.

Journal of dairy science

|July 10, 2025

概括

全球32%的牛感染了Mycoplasma bovis,其患病率因地区和诊断方法而异. 2020年后的上升趋势凸显了需要标准化的监测来控制这种牛病原体的需要.

科学领域:

兽医流行病学兽医流行病学
动物健康监督动物健康监督
细菌学细菌学是一门学科.

背景情况:

牛菌是全球对牛的重大威胁,导致严重的疾病和经济损失.
现有的关于Mycoplasma bovis的流行病学数据是分散的,缺乏标准化,阻碍了有效的控制.
对Mycoplasma bovis的全球分布和流行情况的全面了解对于疾病管理至关重要.

研究的目的:

为了在全球范围内对Mycoplasma bovis感染进行第一个全面的地理空间分析.
为了估计全球和地区的流行率,确定风险因素,并分析Mycoplasma bovis.的时间趋势.
评估诊断方法和宿主特定模式对流行率估计的影响.

主要方法:

来自31个国家的61项关于Mycoplasma bovis流行病的研究 (2000-2024) 的元分析.
时间序列建模和地理信息系统 (GIS) 地图绘制用于地理空间和时间分析.
诊断方法敏感性的评估 (MALDI-TOF MS,ELISA,培养) 和宿主特定的流行.

主要成果:

全球Mycoplasma bovis的总流行率估计为32%,东地中海地区的流行率最高 (43.21%),东南亚地区的流行率最低 (2.13%).
诊断方法显著影响了流行率估计;MALDI-TOF MS显示出比ELISA和基于培养的方法更高的灵敏度.
雄牛表现出更高的Mycoplasma bovis流行率 (63.77%) 比牛 (35.33%). 2020年后观察到一个令人担忧的上升趋势,在2023年达到顶峰.

结论:

观察到的Mycoplasma bovis模式反映了真正的流行病学和显著的诊断变异性.
迫切需要标准化诊断协议,包括世卫组织推的抗原和多中心验证.
这项研究为制定特定区域的战略提供了一个框架,以减轻日益增长的全球Mycoplasma bovis.负担.

关键词:

菌质玻尿酸 (Mycoplasma bovis) 是一种诊断诊断诊断诊断诊断流行病学流行病学地理空间分析是什么患病率的流行情况.

更多相关视频

Use of the Invertebrate Galleria mellonella as an Infection Model to Study the Mycobacterium tuberculosis Complex

Use of the Invertebrate Galleria mellonella as an Infection Model to Study the Mycobacterium tuberculosis Complex

Published on: June 30, 2019

Author Spotlight: Advanced Enteroid Model for Studying Host-Pathogen Interactions

Author Spotlight: Advanced Enteroid Model for Studying Host-Pathogen Interactions

Published on: April 5, 2024

相关概念视频

Steps in Outbreak Investigation

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:

Principles of Disease Surveillance

Principles of Disease Surveillance

Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...