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Medical Microbiology & Diagnosis

ISSN: 2161-0703

Open Access

Analysis of Attributing Characteristics of Salmonella enterica serovar Paratyphi A, B and C across India during 6 years (2010 to 2015)

Abstract

Arti Bharmoria, Vipin Behari Vaish, Ajay Kumar Tahlan and Majumder S

Paratyphoid fever has been emerged as a global public health problem, especially in developing countries. There should be a consistent monitoring of the isolation throughout the countries to analyze the spectrum of the Salmonella enteric serovar Paratyphi. This study examined current isolation pattern of Salmonella Paratyphi A, B and C over a period of 6 years at National Salmonella and Escherichia Centre (NSEC), Central Research Institute (C.R.I), Kasauli. Miscellaneous suspected cultures of Salmonella had been received from various regions of India during six years span of January 2010-December 2015. These samples were characterized by biotyping as well as serotyping at NSEC situated at Central Research Institute, Kasauli. Isolates were serotyped on the basis of somatic O and phase 1 and phase 2 flagellar antigens by agglutination tests with antisera according to the Kauffmann White scheme. Out of 71 isolates of Salmonella enterica, 51 (71.830%) were Salmonella Paratyphi A, 16 (22.532%) were Salmonella Paratyphi B and 4 (5.633%) Salmonella Paratyphi C. Among total 71 samples of Salmonella Paratyphi, 11.267% were obtained from North India while 88.732% cases were from South India. 81.96% samples were isolated from blood while rest of samples were from feces, urine, pus etc. Increasing rates of antibiotic resistance among S. enterica, particularly in Salmonella Paratyphi A strains, is of concern, as Salmonella Paratyphi A infection is becoming increasingly common and is not prevented by current vaccinations. This study caters the Salmonella Paratyphi A, B, C characterization by biotyping and serotyping status in various regions of India irrespective of their co-relation to the region of isolation, source of sample isolation, types of isolates including their age, gender and season during period of 2010 to 2015 across India.

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