基于废水的流行病学框架:为可持续的疾病监测提供合作建模
Néstor DelaPaz-Ruíz1, Ellen-Wien Augustijn1, Mahdi Farnaghi1
1Department of Geo-Information Process (GIP), Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Drienerlolaan 5, 7522 NB Enschede, the Netherlands.
The Science of the total environment
|February 20, 2025
概括
一个新的合作框架将基于废水的流行病学 (WBE) 建模与公共卫生需求相结合. 这种方法优化了废水监测计划,以有效地检测和监测疾病爆发.
科学领域:
- 环境微生物学环境微生物学
- 公共卫生监督是对公共卫生的监督.
- 流行病学 流行病学
背景情况:
- 基于废水的流行病学 (WBE) 对公共卫生监测至关重要.
- 有效的WBE需要将建模与理论和机构框架整合起来.
- 当前的框架往往缺乏对WBE程序设计的建模的明确整合.
研究的目的:
- 开发一个协作框架,整合可持续WBE计划的建模.
- 通过利益相关者的协作,为设计WBE计划提供结构化的方法.
- 提高WBE模型输出的相关性和决策实用性.
主要方法:
- 在现有理论框架的基础上构建,以整合建模组件.
- 开发一个协作框架,并建议利益相关者开展活动.
- 使用COVID-19案例研究来演示采样策略优化框架.
主要成果:
- 该框架通过整合建模来促进WBE程序的设计.
- 案例研究分析显示,对于不同COVID-19爆发阶段 (早期,高峰,尾部) 的不同抽样需求.
- 基于采样时间,疾病阶段和位置的病毒事件检测概率的量化差异.
结论:
- 拟议的框架加强了研究人员和公共卫生当局之间的合作.
- 它为可持续的WBE提供了基础,提高了疾病检测效率.
- 优化采样策略对于在疫情爆发期间有效监测废水至关重要.
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