结合传染病和行为动态. 对模型假设的审查
Andreas Reitenbach1, Fabio Sartori1,2, Sven Banisch1
1Chair of Sociology and Computational Social Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.
将人类的保护行为整合到传染病模型中,对于理解流行病至关重要. 这项研究为描述,比较和选择这些合模型提供了一个框架,指导未来的研究.
科学领域:
- 流行病学 流行病学
- 数学建模的数学建模
- 社会科学 社会科学 社会科学
背景情况:
- 传染病模型往往缺乏与人类行为动态的整合.
- 现有的文献显示了模型实施的多样性和缺乏比较研究.
- 了解诸如信息流行病和疫苗犹之类的现象需要结合模型.
研究的目的:
- 引入一个描述结合传染病和行为动态模型的框架.
- 提出一种方法来比较关于人类行为的模型假设.
- 为选择合适的模型和指导未来研究提供建议.
主要方法:
- 开发了一个框架,用于描述合模型,具有四个不同的更新功能.
- 倡导"影响-响应函数"来比较对人类行为的模型假设.
- 审查了现有文献,以突出模型实施的多样性.
主要成果:
- 在现有模型中实现更新功能的实质性多样性.
- 展示了"影响-响应函数"如何区分模型行为.
- 突出了模型比较的缺乏,限制了研究人员的信息性.
结论:
- 对于结合疾病行为模型,需要一个标准化的框架和比较方法.
- 影响响应函数提供了一种指导模型开发和实证测试的方法.
- 纳入社会科学实证方法对于推进该领域至关重要.
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