Journal of Chemical and Pharmaceutical Research (ISSN : 0975-7384)

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Original Articles: 2014 Vol: 6 Issue: 9

Descriptive and multivariate analysis of microbial environmental monitoring of the hospital in the area Rharb, Kenitra (Morocco)

Abstract

The environment is implicated as a source of healthcare-associated infections (HAIs) and there is a need for evidence-based approaches to environmental sampling to assess cleanliness and improve infection prevention and control. Our objective is to study the basic principles of prevention and control of the infections that may be acquired in health-care facilities (but does not address other aspects of hospital hygiene (Region Rharb, Kenitra, Morocco)and safety such as pressure sores and the risk of falls). The multivariate statistical techniques (i.e., principal component analysis (PVA), the multiple linear regression (M LR) and partial least square (PLS) have been used to evaluate the pattern of the relationship among variables. The ACP allowed us to observe two groups (GA) correlation between the different services and the group germs (GB) where there is predominance of bacteria: Bacillus and Klebsiela pneumoniae in service resuscitation. Partial least square regression (PLS) and the (MLR), have shown a correlation coefficient respectively of 0.999 and 0.995.The regression model obtained suggested that the proposed combination could be useful for predicting the total percentage of different bacteria. The predicted values of activities are in good agreement with the experimental results.