地理空间建模用于在一个卫生框架内识别动物传染病热点:系统性审查
Jabulani Nyengere1, Willard Mbewe2, Lucius Malalu2
1Ndata School of Climate and Earth Sciences, Malawi University of Science and Technology, P.O Box 5196, Limbe, Malawi. jnyengere@must.ac.mw.
One health outlook
|January 28, 2026
概括
地理空间建模有助于动物传染病热点的识别,但完全整合人类,动物和环境数据为One Health方法仍然具有挑战性,因为数据有限.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 地理空间科学 地理空间科学
背景情况:
- 动物传染病带来了全球公共卫生挑战,需要综合监测.
- 地理空间建模对于识别疾病热点和告知One Health战略至关重要.
- 关于地理空间方法如何运行One Health原则的综合研究有限.
研究的目的:
- 系统地审查应用地理空间建模的研究,以确定动物传染病热点.
- 评估"一个健康"原则在这些地理空间方法中的整合.
- 确定动物传染病控制中的地理空间建模的局限性和未来方向.
主要方法:
- 按照PRISMA 2021指南 (2000-2025) 进行系统审查.
- 在多个数据库中搜索了动物传染病热点的地理空间建模研究.
- 提取了有关方法,变量,地理和One Health整合的数据;进行了描述性合成.
主要成果:
- 46项研究符合标准,在2020年后出版量增加,集中在非洲,亚洲和欧洲.
- 常见的方法包括贝叶斯空间模型,卫星图像,机器学习和生态利基模型.
- 气候变量是主要的预测因素;社会生态和动物健康变量不那么集成. 仅在15.2%的研究中发现了全方位健康整合.
结论:
- 地理空间建模对于动物传染病热点的识别至关重要,但在完全运行One Health方面面临限制.
- 数据碎片化和人类,动物和环境领域的不均整合限制了当前的方法.
- 加强综合监测,包括社会生态预测因素和标准化方法对于政策影响至关重要.
相关概念视频
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
11.2K
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...
11.2K
Models of Health Promotion and Illness Prevention I
2.8K
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...
2.8K
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
Random and Systematic Errors
14.8K
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...
14.8K
Systematic Sampling Method
13.0K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
Systematic sampling is one of the simplest methods...
13.0K


