在发展中国家预防动物性传染病的健康策略之一:系统性审查 (2015-2025)
Kunta Adnan Sahiman1, Siti Azizah1, Kuswati Kuswati1
1Department of Animal Science, Faculty of Animal Science, Universitas Brawijaya, Malang, Indonesia.
Research in veterinary science
|February 6, 2026
概括
发展中国家的综合健康策略在动物病预防方面表现出卓越的有效性. 成功实施取决于协调和质量,而不仅仅是资源,指导优化资源配置.
科学领域:
- 兽医公共卫生 兽医公共卫生
- 流行病学 流行病学
- 全球卫生安全 全球卫生安全
背景情况:
- 对于发展中国家"一健康" (One Health) 预防动物性传染病的兽医当局策略的综合研究有限.
- 知识差距阻碍了有效控制动物病的基于证据的政策制定.
研究的目的:
- 通过发展中国家的兽医当局创建一个全面的"One Health"动物病预防策略分类系统.
- 在资源有限的环境中建立这些策略的定量有效性模式.
主要方法:
- 系统审查遵循PRISMA 2020指南,搜索Scopus,科学网络和PubMed (2015年1月至2025年7月).
- 两个审查员对126条记录进行了独立选 (κ=0.82).
- 综合了42项研究的主题分析和定量有效性评分的混合方法合成.
主要成果:
- 在18个国家确定了14个One Health战略,分为部门间协调 (35.7%),监测增强 (28.6%) 和综合服务提供 (21.4%).
- 综合方法的疗效 (77-90) 与单个干预方法 (25-95) 相比,更高.
- 移动监控系统增加了14倍的报告 (RR=14.0),综合系统改善了流行病学的理解.
结论:
- 实施质量和战略整合是关键的成功因素,超越干预类型或资源强度.
- 非最佳的政策实施和差的跨部门协调是重大障碍.
- 结果提供了基于证据的指导,以优化发展中国家有限的资源,以预防动物病.
相关概念视频
Levels of Health Promotion and Illness Prevention
14.7K
Health promotion allows a person to control the determinants of health, resulting in an improved health status. It enhances the quality of life and reduces premature deaths. Health promotion and illness prevention programs help people make beneficial choices to reduce the risk of disease and disabilities. There are three health promotion and illness prevention levels: primary, secondary, and tertiary prevention.
In primary prevention, actions taken before disease onset prevent the disease from...
In primary prevention, actions taken before disease onset prevent the disease from...
14.7K
Models of Health Promotion and Illness Prevention I
2.9K
A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
2.9K
Models of Health Promotion and Illness Prevention II
2.1K
The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results...
The agent-host-environment model states that disease results...
2.1K
Review and Preview
8.4K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview
11.5K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.5K
Random and Systematic Errors
15.1K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
15.1K


