With the eradication of poliovirus, the focus has now shifted to environmental surveillance of poliovirus to determine the circulating polioviruses in an area. L20B and RD cell lines are used for isolation of polioviruses. It is imperative to study the efficacy of these cell line in isolating polioviruses from environmental samples. The present study was carried out to determine the sensitivity and specificity of L20B cell line for isolation of polioviruses from environmental samples. L20B and RD cell lines are used for isolation of polioviruses. Molecular characterization was done by using real time RT-PCR. A total of 432 sewage samples from Delhi and Punjab were processed for the isolation of polioviruses during Jan-Dec 2015. 96.76% of the samples were positive in either of the cell lines. Non-polio enteroviruses were obtained in 50 samples on primary isolation. On RT-PCR, 347 (94.29%) samples yielded polioviruses and the rest (21) non-polio enteroviruses or non-enteroviruses. A total of 703 isolates were obtained. 635 isolates were found polioviruses by PCR (90.33%), 20 isolates were found to be NPEV (2.84%) and 48 (6.83%) were found to be NEV. Out of the 20 NPEV isolates, 14 were from RLR (RD-L20B-RD) route and six isolates were from LR (L20B-RD) route. All 48 NEV isolates were from LR route. Thus L20B cell line is more sensitive as compared to RD cell line for isolation of polioviruses however it is not absolutely specific for polioviruses.

Cancer is one of the leading cause s of mortality and morbidity among the non-communicable diseases in South Asian countries, such as India. The subcontinent of South Asia hosts up to 25% of the total world population. Though separated by the geographical boundaries, the South Asian countries still share similar food habits, culture as well as life styles, resulting in prevalence of similar risk factors for cancer (Moore et al., 2010).Thus, despite massive diversity across the region, there are significant similarities among these counties in terms of cancer incidence and prevalence as well as

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This study examines the parameters crucial to cost-effectiveness of universal hepatitis B immunization in India. An incremental cost-effectiveness analysis was done using a decision tree (Markov model) to follow up a hypothetical cohort of 100,000 newborns for the effects of hepatitis B acquired vertically at birth. The measure of effectiveness was disability-adjusted life-years gained. Uncertainty analysis and Scenario analysis were done using Latin hypercube sampling. Hepatitis B endemicity is the most important factor, followed by the cost of vaccine. Other factors of some influence are vaccination coverage, vaccine efficacy, HBeAg positivity, and vaccine wastage.