PDF(Pubmed)
Abstract：
Preliminary research has suggested possible associations between natural waterways and Legionella infection, and we previously explored these associations in eastern Wisconsin using positive L. pneumophila serogroup 1 urine antigen tests (LUAT) as diagnostic. This case-control study was a secondary analysis of home address data from patients who underwent LUAT at a single eastern Wisconsin health system from 2013 to 2017. Only zip codes within the health system\'s catchment area that registered ≥3 positive cases and ≥50 completed tests, as well as geographically adjacent zip codes with ≥2 positive cases and ≥50 tests, were included. A 1:3 ratio of cases to randomly selected controls was used. Home addresses were geocoded and mapped using ArcGIS software (Esri); nearest waterway and distance to home was identified. Distance to nearest waterway according to ArcGIS was verified/corrected using Google Maps incognito. Distances were analyzed using chi-squared and 2-sample t-tests. Overall, mean distance to nearest waterway did not differ between cases (2958 ± 2049 ft) and controls (2856 ± 2018 ft; P=0.701). However, in a subset of nonurban zip codes, cases were closer to nearest waterway than controls (1165 ± 905 ft vs 2113 ± 1710 ft; P=0.019). No association was found between cases and type of waterway. Further research is needed to investigate associations and differences between natural and built environmental water sources in relation to legionellosis.
摘要：
初步研究表明，天然水道与军团菌感染之间可能存在关联，我们以前在威斯康辛州东部使用阳性的嗜肺乳杆菌血清群1尿抗原试验(LUAT)作为诊断来探索这些关联。这项病例对照研究是对2013年至2017年在威斯康星州东部卫生系统接受LUAT治疗的患者家庭住址数据的二次分析。只有卫生系统集水区内登记≥3例阳性病例和≥50例完成测试的邮政编码,以及具有≥2个阳性病例和≥50个测试的地理上相邻的邮政编码，包括在内。使用病例与随机选择的对照的1:3比率。使用ArcGIS软件（Esri）对家庭地址进行了地理编码和映射；确定了最近的水路和到家的距离。根据ArcGIS，到最近水道的距离已使用Google地图隐身进行了验证/校正。使用卡方检验和2样本t检验分析距离。总的来说,病例(2958±2049ft)和对照组(2856±2018ft;P=0.701)之间,距最近水路的平均距离无差异.然而,在非城市邮政编码的子集中，病例比对照组更接近最近的水道（1165±905ftvs2113±1710ft；P=0.019）。病例与水道类型之间未发现关联。需要进一步的研究来调查与军团病有关的自然和建筑环境水源之间的关联和差异。
