在COVID-19疫情中提高社会性:一个系统动态模型
1College of Economics & Management, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China.
PloS one
|November 9, 2023
概括
这项研究介绍了流行病期间社会弹性的动态模型. 加强公众获取信息和提高政府意识是改善灾害管理和减少恐慌的关键.
科学领域:
- 灾害管理 灾害管理
- 流行病学 流行病学
- 社会学 社会学 社会学
背景情况:
- 社会性研究仅限于评估,缺乏动态和程序分析.
- 随着COVID-19的爆发,人们越来越需要了解社会抗灾能力的动态.
研究的目的:
- 在COVID-19疫情期间构建和分析因果反和系统动态模型的社会弹性.
- 确定动态特征和改善途径,以提高社会性.
主要方法:
- 开发一个因果反模型.
- 实施一个系统动态模型用于社会弹性分析.
- 模型验证和模拟.
主要成果:
- 社会弹性表现出由社会行为和机制影响的动态变化.
- 公众的实时信息获取显著影响了恐慌水平.
- 地方政府的疫情意识对于减轻损害至关重要.
结论:
- 提高社会性需要采用双重方法,重点关注公共和政府行动.
- 提高公众获得实时信息和政府透明度至关重要.
- 提高地方政府的流行病意识和理解对于有效的灾害管理至关重要.
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