4 research outputs found

    Antibiotic consumption at community pharmacies : a multicenter repeated prevalence surveillance using WHO methodology

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    Background: Antibiotics are losing their effectiveness because of the rapid emergence of resistant bacteria. Unnecessary antimicrobial use increases antimicrobial resistance (AMR). There are currently no published data on antibiotic consumption in Pakistan at the community level. This is a concern given high levels of self-purchasing of antibiotics in Pakistan and variable knowledge regarding antibiotics and AMR among physicians and pharmacists. Objective: The objective of this repeated prevalence survey was to assess the pattern of antibiotic consumption data among different community pharmacies to provide a baseline for developing future pertinent initiatives. Methods: A multicenter repeated prevalence survey conducted among community pharmacies in Lahore, a metropolitan city with a population of approximately 10 million people, from October to December 2017 using the World Health Organization (WHO) methodology for a global program on surveillance of antimicrobial consumption. Results: The total number of defined daily doses (DDDs) dispensed per patient ranged from 0.1 to 50.0. In most cases, two DDDs per patient were dispensed from pharmacies. Co-amoxiclav was the most commonly dispensed antibiotic with a total number of DDDs at 1018.15. Co-amoxiclav was followed by ciprofloxacin with a total number of 486.6 DDDs and azithromycin with a total number of 472.66 DDDs. The least consumed antibiotics were cefadroxil, cefotaxime, amikacin, and ofloxacin, with overall consumption highest in December. Conclusion: The study indicated high antibiotic usage among community pharmacies in Lahore, Pakistan particularly broad-spectrum antibiotics, which were mostly dispensed inappropriately. The National action plan of Pakistan on AMR should be implemented by policymakers including restrictions on the dispensing of antimicrobials

    New Exact Solutions of Kolmogorov Petrovskii Piskunov Equation, Fitzhugh Nagumo Equation, and Newell-Whitehead Equation

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    This work presents the new exact solutions of nonlinear partial differential equations (PDEs). The solutions are acquired by using an effectual approach, the first integral method (FIM). The suggested technique is implemented to obtain the solutions of space-time Kolmogorov Petrovskii Piskunov (KPP) equation and its derived equations, namely, Fitzhugh Nagumo (FHN) equation and Newell-Whitehead (NW) equation. The considered models are significant in biology. The KPP equation describes genetic model for spread of dominant gene through population. The FHN equation is imperative in the study of intercellular trigger waves. Similarly, the NW equation is applied for chemical reactions, Faraday instability, and Rayleigh-Benard convection. The proposed technique FIM can be applied to find the exact solutions of PDEs

    First Integral Technique for Finding Exact Solutions of Higher Dimensional Mathematical Physics Models

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    In this work, we establish the exact solutions of some mathematical physics models. The first integral method (FIM) is extended to find the explicit exact solutions of high-dimensional nonlinear partial differential equations (PDEs). The considered models are: the space-time modified regularized long wave (mRLW) equation, the (1+2) dimensional space-time potential Kadomtsev Petviashvili (pKP) equation and the (1+2) dimensional space-time coupled dispersive long wave (DLW) system. FIM is a powerful mathematical tool that can be used to obtain the exact solutions of many non-linear PDEs
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