在埃塞俄比亚哈拉尔镇和克尔萨地区检测疫情,使用植物遗传学分析和来源归因
Cecilie Thystrup1, Tine Hald2, Dinaol Belina3,4
1National Food Institute, Technical University of Denmark, Kgs. Lyngby, Denmark. ceth@dtu.dk.
BMC infectious diseases
|August 26, 2024
概括
在埃塞俄比亚发现了三起非伤寒型沙门氏菌疫情,与牛肉有关. 这凸显了在低收入和中等收入国家 (LMICs) 改善食品安全和综合监测的必要性,以有效检测食源性疾病.
科学领域:
- 微生物学 微生物学
- 基因组学就是基因组学.
- 流行病学 流行病学
背景情况:
- 食物传播疾病 (FBD) 构成全球公共卫生风险,在非洲低收入和中等收入国家 (LMICs) 发生的严重.
- 目前的疫情检测依赖于临床诊断,由于监测和资源限制不足,往往会延迟或错过.
研究的目的:
- 在埃塞俄比亚调查非伤寒型沙门氏菌 (NTS) 疫情.
- 通过植物遗传学分析和机器学习来识别人类沙门氏病的来源.
- 评估综合监测对食品传播疾病爆发检测的潜力.
主要方法:
- 从人类,动物和环境来源分离的68个NTS菌群的植物遗传学分析.
- 应用机器学习源归因模型 (logit-boost) 来预测感染源.
- 基因组聚类检测与来源归因模型结果的比较.
主要成果:
- 在埃塞俄比亚东部发现了三个不同的NTS分离群,表明潜在的疫情爆发.
- 集群中的分离物共享相同的血清器和序列类型 (ST),但存在微小的变化.
- 来源归因模型确定牛肉是人类沙门氏病的主要来源,并得到了植物遗传学数据的证实.
结论:
- 该研究在埃塞俄比亚东部发现了三起潜在的NTS爆发,强调需要加强LMICs的食品安全措施.
- 结合流行病学方法和来源归因模型的综合监测可以改善食品传播疾病爆发的检测和来源识别.
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