@article{(Open Science Index):https://publications.waset.org/pdf/8964,
	  title     = {Detection of Legionella pneumophila in Cooling Water Systems of Hospitals and Nursing Homes of Kerman City, Iran by Semi- Nested PCR},
	  author    = {Mohammad Ahmadinejad and  Mohammad Reza Shakibaie and  Kyvan Shams and  Mohammad Khalili},
	  country	= {},
	  institution	= {},
	  abstract     = {Legionella pneumophila is involved in more than 95%
cases of severe atypical pneumonia. Infection is mainly by
inhalation the indoor aerosols through the water-coolant systems.
Because some Legionella strains may be viable but not culturable,
therefore, Taq polymerase, DNA amplification and semi-nested-PCR
were carried out to detect Legionella-specific 16S-rDNA sequence.
For this purpose, 1.5 litter of water samples from 77 water-coolant
system were collected from four different hospitals, two nursing
homes and one student hostel in Kerman city of Iran, each in a brand
new plastic bottle during summer season of 2006 (from April to
August). The samples were filtered in the sterile condition through
the Millipore Membrane Filter. DNA was extracted from membrane
and used for PCR to detect Legionella spp. The PCR product was
then subjected to semi-nested PCR for detection of L. pneumophila.
Out of 77 water samples that were tested by PCR, 30 (39%) were
positive for most species of Legionella. However, L. pneumophila
was detected from 14 (18.2%) water samples by semi-nested PCR.
From the above results it can be concluded that water coolant
systems of different hospitals and nursing homes in Kerman city of
Iran are highly contaminated with L. pneumophila spp. and pose
serious concern. So, we recommend avoiding such type of coolant
system in the hospitals and nursing homes.},
	    journal   = {International Journal of Nursing and Health Sciences},
	  volume    = {5},
	  number    = {4},
	  year      = {2011},
	  pages     = {180 - 183},
	  ee        = {https://publications.waset.org/pdf/8964},
	  url   	= {https://publications.waset.org/vol/52},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 52, 2011},
	}