一个框架来评估对动物疾病控制计划中无感染的信心
概括
基于结果的FREEdom from infection (STOC免费) 项目监测工具开发了一个模型来比较牛病控制计划. 该工具评估了群体感染率和符合欧盟标准的可能性.
科学领域:
- 兽医流行病学 兽医流行病学
- 疾病控制建模的模型.
- 公共卫生监督是对公共卫生的监督.
背景情况:
- 标准化数据收集对于比较各种牛病控制计划至关重要.
- 现有的方法可能无法充分评估群体感染的自由性或符合基于输出的标准.
研究的目的:
- 开发和验证一个标准化的模型来比较牛病控制计划.
- 评估群体不受感染的概率和符合欧盟标准的可能性.
主要方法:
- 开发了基于结果的FREEdom from infection (STOC免费) 数据收集工具和模型的监控工具.
- 利用贝叶斯隐藏的马尔科夫模型来控制牛病毒性腹病毒 (BVDV) 的控制程序.
- 从六个欧洲国家的真实世界BVDV CP数据收集并验证了模型.
主要成果:
- 成功开发和验证了BVDV的STOC免费模型.
- 该模型量化了群体感染率的概率,并评估了CP的合规性.
- 模型的计算机代码是公开的.
结论:
- STOC免费模型为比较牛病控制计划提供了一种标准化的方法.
- 该模型适用于特有病,并专注于群体级数据.
- 建议对其他疾病和情景进行进一步的概括.
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