选择疾病监测地点的多标准框架:印尼疟疾Plasmodium knowlesi病例研究
Lucinda E Harrison1, Jennifer A Flegg1, Ruarai Tobin2
1School of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia.
Royal Society open science
|January 11, 2024
概括
这项研究引入了一种新的框架,以选择最佳的监测地点,以发现动物传播疾病 - - 疟疾. 这种方法通过将疾病风险预测纳入决策,以更好地控制疟疾来改善公共卫生响应.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 寄生虫学的寄生虫学
背景情况:
- 在流行地区,Plasmodium knowlesi疟疾的监测很少,这阻碍了对其空间传播的理解.
- 在东南亚地区,P. knowlesi的动物传播对消除疟疾的努力构成重大挑战.
研究的目的:
- 根据相对疾病风险的空间预测,开发一个灵活的框架来选择监测地点.
- 量化地将统计风险预测纳入公共卫生决策中,以对动物性疟疾进行监测.
主要方法:
- 开发了一个监控地点选择的框架,使用多标准决策原则.
- 将框架应用于印度尼西亚西部P. knowlesi疟疾监测地点的选择.
- 在公共卫生策略中证明了统计疾病风险预测的定量纳入.
主要成果:
- 该框架提供了一种系统的方法来优化监控地点的选择.
- 成功地将该方法应用于印尼的现实世界案例研究.
- 展示了将预测建模与公共卫生决策整合的实用性.
结论:
- 开发的框架提高了P. knowlesi疟疾监测的有效性.
- 这种方法为改善对动物传播疾病的公共卫生反应提供了有价值的工具.
- 该方法可适应在各种疾病背景下对监测地点的选择.
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