计算机化决策支持系统旨在向法国的莱姆病发病率提供信息
Ilona Eveline Suhanda1, Josselin Le Bel2,3, Camille Bonnet4
1Sorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, F75012, Paris, France. ilona.suhanda@iplesp.upmc.fr.
Scientific reports
|May 3, 2025
概括
一项新的研究显示,抗生素系统提供了比Sentinelles网络更高的莱姆病 (LB) 发病率估计. 这种计算机化决策支持系统为法国的LB流行病学提供了更广泛的观点.
科学领域:
- 流行病学 流行病学
- 传染性疾病 传染性疾病
- 公共卫生监督 公共卫生监督
背景情况:
- 估计欧洲莱姆病 (LB) 发病率是复杂的,因为各种报告方法.
- 在法国,LB发病率通常通过Sentinelles网络进行监测,依赖于全科医生的自愿报告.
研究的目的:
- 评估计算机化决策支持系统 (CDSS) 抗生素对估计LB发病率的有用性.
- 将来自Antibioclic的LB发病率估计与来自已建立的Sentinelles网络的估计进行比较.
主要方法:
- 从抗生素数据中获得的LB发病率指标,包括红血和扩散性疾病.
- 对涉嫌LB病例的全科医生进行了抗生素使用调查.
- 基于Antibioclic的发病率估计与Sentinelles网络数据进行比较.
主要成果:
- 在2023年,抗生素LB指标显示,每10万居民的发病率为290人,几乎是哨兵网络的五倍.
- 两种方法都确定了类似的高发病率地区.
- 抗生素低估了高发病率地区的疑似病例,但在风险较低的地区提供了更接近的估计.
结论:
- 抗生素CDSS为法国的LB发病率估计提供了潜在的有价值,更广泛的数据集.
- 进一步细化LB发病率估计需要改进时空跟踪和标准化病例定义.
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