In Classical Hypothesis testing volumes of data is to be collected and then the conclusions are drawn, which may need more time. But, Sequential Analysis of Statistical science could be adopted in order to decide upon the reliability or unreliability of the developed software very quickly. The procedure adopted for this is, Sequential Probability Ratio Test (SPRT). It is designed for continuous monitoring. The likelihood based SPRT proposed by Wald is very general and it can be used for many different probability distributions. In the present paper we propose the performance of SPRT on 6 data sets of Time domain data using Rayleigh model and analyzed the results. The parameters are estimated using Modified Genetic Algorithm.
One hundred strains of Staphylococcus aureus isolated from various clinical sampleswere screened for methicillin resistance by the disc diffusion technique. Antibioticsusceptibility pattern of Methicillin sensitive S. aureus (MSSA) and Methicillin resistantS. aureus (MRSA) against a number of antibiotics like penicillin, ampicillin,gentamicin, erythromycin, tetracycline, Coamoxyclav cotrimoxazole, ciprofloxacin,cefalothin and vancomycin are compared. 20% of the strains were found to be MRSAwhile 80% were MSSA. The isolation rate of MRSA from indoor (hospital acquired)and outdoor (community acquired) was 18% and 2% respectively. Drug resistance ofMRSA was highest with penicillin (100%), followed by erythromycin (80%), ampicillinand gentamicin (65%), tetracycline (60%), cotrimoxazole (55%), cefalothin (20%),Coamoxyclav (15%) and least against ciprofloxacin (5%) and vancomycin (0%). TheMSSA were sensitive to vancomycin (100%), ciprofloxacin (100%), Coamoxyclav(96.25%), and cephalothin (82.5%) while sensitivity to tetracycline (78.75%),gentamicin (75%), erythromycin (40%), ampicillin (38.75%), cotrimoxazole (37.55)and penicillin (21.25%) was much lesser. This study emphasizes the need for constantmonitoring on the prevalence of MRSA and its microbial susceptibility pattern as thedata would help clinicians in the effective management of nosocomial infections causedby S.aureus.Key Words: Staphylococcus Aureus, Methicillin, Sensitive, Resistant, Nosocomial Infection.
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