Clinical and microbiological efficacies of temocillin are unaffected by ESBL/dAmpC production, confirming its potential application as a carbapenem-sparing agent. Both CCR and MCR are optimized by a regimen of 2 g twice daily ORAE in ESBL/dAmpC-positive infection.
Systemic and Scientific investigation was carried out for identification, selection, characterization of popularly grown medicinal plants in and around Patna and their phytochemical analysis was carried out to assess their medicinal value potentialities. The traditional medicine involves the uses of different plant extracts or the phytochemical bioactive constituents, which provides the health application at an affordable cost. Secondary metabolites are responsible for medicinal activity of plants. Qualitative phytochemical analysis of these plants confirm the presence of various phytochemicals like saponins, terpenoids, steroids, anthocyanins, coumarins, fatty acids, tannins, leucoanthocyanins and emodins etc. The result suggest that the phytochemical properties for curing various ailments and possess potential antioxidant, which may leads to the isolation of new and novel secondary compounds for generation of new drugs. Knowledge of the phytochemical constituents of plants are desirable because such information will be of value for the synthesis of complex chemical substances. Out of 50 medicinal plants subjected to phytochemical screening 11 were found to be highly potential,18 moderately potential and 21 to be least potential on the basis of presence of phytochemicals in the leaf extract for secondary metabolites.
COVID-19 cases in India have been steadily increasing since January 30, 2020 and have led to a government-imposed lockdown across the country to curtail community transmission with significant impacts on societal systems. Forecasts using mathematical-epidemiological models have played and continue to play an important role in assessing the probability of COVID-19 infection under specific conditions and are urgently needed to prepare health systems for coping with this pandemic. In many instances, however, access to dedicated and updated information, in particular at regional administrative levels, is surprisingly scarce considering its evident importance and provides a hindrance for the implementation of sustainable coping strategies. Here we demonstrate the performance of an easily transferable statistical model based on the classic Holt-Winters method as means of providing COVID-19 forecasts for India at different administrative levels. Based on daily time series of accumulated infections, active infections and deaths, we use our statistical model to provide 48-days forecasts (28 September to 15 November 2020) of these quantities in India, assuming little or no change in national coping strategies. Using these results alongside a complementary SIR model, we find that one-third of the Indian population could eventually be infected by COVID-19, and that a complete recovery from COVID-19 will happen only after an estimated 450 days from January 2020. Further, our SIR model suggests that the pandemic is likely to peak in India during the first week of November 2020.
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