Laboratory of Microbiology, ARPA - Regional Agency for Environmental Protection Friuli Venezia Giulia, Udine, Italy.
Department of Mathematics, Computer Science and Physics, University of Udine, Udine, Italy.
PLoS One. 2019 Jul 9;14(7):e0218687. doi: 10.1371/journal.pone.0218687. eCollection 2019.
Legionella spp. are considered an important cause of potentially preventable morbidity and mortality, making environmental surveillance a crucial component of risk assessment plans. In this work, 20,319 water samples were collected in 3,983 environmental surveys during a 16-year period by ARPA, the Regional Agency for Environmental Protection, Friuli Venezia Giulia, and the results were studied to better understand the diffusion mechanisms of Legionella. The data showed a strong seasonal signal, a prevalence of L. pneumophila serogroup 2-15 in most environments (63% of positive samples), a prevalence of L. pneumophila serogroup 1 in swimming pool-associated environments (82% of positive samples), a persistent presence of Legionella in hospitals and a recurrent presence of Legionella in other facilities such as hotels, possibly years after interventions, highlighting the difficulty of eradicating the bacteria. Retrospective spatio-temporal analyses on geocoded historical data were carried out with SaTScan using an ordinal model with risk as a covariate to identify potential clusters with an excess of cases in the higher-risk categories. Although no outbreaks occurred during the period of study, such analyses identified spatially restricted zones with unusual contamination, which sometimes were also areas in which several surveys triggered by notifications of clinical cases were performed. Simulations of periodic prospective analyses permitted the assessment of the efficacy of the method in early detection of such clusters. The proposed method may be a useful tool in environmental surveillance, prevention and control of Legionella.
军团菌被认为是导致潜在可预防发病率和死亡率的重要原因,因此环境监测是风险评估计划的重要组成部分。在这项工作中,16 年间,弗留利-威尼斯朱利亚地区环境署(ARPA)共采集了 20319 个水样,涉及 3983 次环境调查,研究结果旨在更好地了解军团菌的传播机制。数据显示出强烈的季节性信号,大多数环境中存在血清型 2-15 的嗜肺军团菌(63%的阳性样本),游泳池相关环境中存在血清型 1 的嗜肺军团菌(82%的阳性样本),军团菌在医院中持续存在,在酒店等其他设施中也反复出现军团菌,即使在干预多年后仍难以根除。利用 SaTScan 对地理编码的历史数据进行回顾性时空分析,采用有序模型,并将风险作为协变量,以确定高风险类别中病例过多的潜在聚集区。虽然在研究期间没有暴发,但这些分析确定了污染异常的空间限制区域,这些区域有时也是接到临床病例通知后进行多次调查的区域。定期前瞻性分析的模拟评估了该方法在早期发现此类聚集的效果。该方法可能是军团菌环境监测、预防和控制的有用工具。