全球对生态利基建模的研究,以预测新出现的传染病:系统性审查
Ted J Lawrence1, Bryce P Takenaka2, Aastha Garg2
1Taylor Geospatial Institute, St. Louis, MO, United States.
Frontiers in public health
|November 29, 2023
概括
生态利基建模 (ENM) 通过分析环境和社会因素,有助于预测新出现的传染病 (EID). 这次审查突出了ENM的重点.
科学领域:
- 环境科学和流行病学.
- 生态建模用于疾病预测.
背景情况:
- 新兴传染病 (EID) 构成了日益严重的全球威胁,需要积极预测和预防战略.
- 生态利基建模 (ENM) 是一种新兴的工具,通过分析载体,宿主和环境因素的空间分布来预测疾病的出现.
结论:
- 生态利基建模 (ENM) 显示出预测新兴传染病 (EID) 的巨大潜力.
- 在ENM中整合生物,非生物,流动性和社会因素可以提高疾病爆发的预测准确性.
相关概念视频
Steps in Outbreak Investigation
133
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:
133
Ecological Niches
23.7K
All organisms have a position within an ecosystem. The complete set of living and nonliving factors—including food resources, climate, and terrain—that define the position of a given organism are collectively referred to as the organism’s ecological niche.
23.7K


