International Journal of Research in Nursing | |
Intervened 2-Tier Poisson Distribution for Understanding Hospital Site Infectivity | Science Publications | |
R. Shanmugam1  | |
关键词: Count model; likelihood ratio test; p-value; hypothesis testing; exposure rate; physicians/surgeons; management intervenes; statistical properties; infectivity rate; | |
DOI : 10.3844/ijrnsp.2012.8.14 | |
学科分类:护理学 | |
来源: Science Publications | |
【 摘 要 】
Problem statement: Whether it is a surgical site or medical treatment at a hospital site, the nurses in particular and the entire medical team including surgeons/physicians in general undergo a risk of being infected ironically by the patients whom they intend to disinfect. There are 2-tiers of patients at the site. One type consists of patients who are internally and well pre-disinfected, not to be sourced for infecting the medical team. The second type consists of patients who are influx to the hospital site and are not well pre-disinfected enough. It is the second type which is a source of hospital site infection for the medical team in general and for the nurses in particular. In other words, the nurses who have to deal with the second type of patients get more exposed to the virus from the patients themselves. This is named the nurses
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201912010160171ZK.pdf | 116KB | download |