期刊名称：Annals of Agricultural and Environmental Medicine
印刷版ISSN：1232-1966
电子版ISSN：1898-2263
出版年度：2015
卷号：22
期号：4
页码：655-660
DOI：10.5604/12321966.1185769
出版社：Institute of Agricultural Medicine in Lublin
摘要：Introduction. Legionnaires’ disease is normally acquired by inhalation of legionellae from a contaminated environmentalsource. Water systems of large buildings, such as hospitals, are often contaminated with legionellae and therefore representa potential risk for the hospital population. The aim of this study was to evaluate the potential contamination of Legionellapneumophila (LP) in a large hospital in Italy through georeferential statistical analysis to assess the possible sources ofdispersion and, consequently, the risk of exposure for both health care staff and patients.Materials and Method. LP serogroups 1 and 2–14 distribution was considered in the wards housed on two consecutivefloors of the hospital building. On the basis of information provided by 53 bacteriological analysis, a ‘random’ grid of pointswas chosen and spatial geostatistics or FAIk Kriging was applied and compared with the results of classical statistical analysis.Results. Over 50% of the examined samples were positive for Legionella pneumophila. LP 1 was isolated in 69% of samplesfrom the ground floor and in 60% of sample from the first floor; LP 2–14 in 36% of sample from the ground floor and 24%from the first. The iso-estimation maps show clearly the most contaminated pipe and the difference in the diffusion of thedifferent L. pneumophila serogroups.Conclusion. Experimental work has demonstrated that geostatistical methods applied to the microbiological analysis ofwater matrices allows a better modeling of the phenomenon under study, a greater potential for risk management anda greater choice of methods of prevention and environmental recovery to be put in place with respect to the classicalstatistical analysis
关键词：Legionella pneumophila; hospital; water systems; Geostatistics; Kriging
