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Updated: May 2, 2026

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A Multi-detection Assay for Malaria Transmitting Mosquitoes
Published on: February 28, 2015
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使用病例监测和森林数据评估疟疾接收能力,在泰国东北部的近乎消除的环境中
Rebecca Walshe1,2, Kulchada Pongsoipetch1, Suwanna Mukem1
1Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Malaria journal
|July 31, 2024
概括
泰国的疟疾传播与森林覆盖密切相关,特别是在边境地区. 森林密度更高与疟疾病例和易感性增加相关,为有针对性的预防策略提供信息.
科学领域:
- 环境流行病学环境流行病学
- 控制载体传播疾病 控制载体传播疾病
- 公共卫生中的地理信息系统 (GIS)
背景情况:
- 泰国的目标是到2024年消除疟疾,因此需要制定战略,防止在无疟疾地区重新建立.
- 了解当地疟疾接收能力对于有效的干预向至关重要.
- 森林覆盖面是疟疾的已知风险因素,因为它与载体息地和人类行为有关.
研究的目的:
- 评估泰国森林覆盖面与疟疾发病率和易感性之间的关联.
- 评估森林覆盖数据在识别疟疾高风险地区的有用性.
- 为泰国未来的疟疾预防和控制战略提供信息.
主要方法:
- 利用泰国传媒疾病司 (DVBD) 的地理位置定位,匿名疟疾监测数据 (2011-2021年).
- 计算的村级发病率和估计的传播潜力 (Rc).
- 使用卫星数据 (汉森数据集) 量化了森林覆盖面,并分析了与疟疾指标的相关性.
主要成果:
- 从2011年到2021年,观察到每年疟疾病例减少了96.6%.
- 村庄和周边地区 (半径5公里) 中森林覆盖率较高与疟疾发病率和易感性增加有关 (Rc > 1).
- 与每年病例一致的疟疾焦点相比,与没有疟疾的焦点相比,森林覆盖率更高.
结论:
- 森林覆盖面和泰国土著疟疾病例之间存在显著的积极关联.
- 与老和柬埔寨接壤的森林密集的边境地区被确定为高度接受疟疾的地区.
- 将森林覆盖数据与监测和脆弱性措施相结合,可以提高对疟疾复发风险的预测.
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