Implementation of variational iteration method for various types of linear and nonlinear partial differential equations

There are various linear and nonlinear one-dimensional partial differential equations that are the focus of this research. There are a large number of these equations that cannot be solved analytically or precisely. The evaluation of nonlinear partial differential equations, even if analytical solutions exist, may be problematic. Therefore, it may be necessary to use approximate analytical methodologies to solve these issues. As a result, a more effective and accurate approach must be investigated and analyzed. It is shown in this study that the Lagrange multiplier may be used to get an ideal value for parameters in a functional form and then used to construct an iterative series solution. Linear and nonlinear partial differential equations may both be solved using the variational iteration method (VIM) method, thanks to its high computing power and high efficiency. Decoding and analyzing possible Korteweg-De-Vries, Benjamin, and Airy equations demonstrates the method’s ability. With just a few iterations, the produced findings are very effective, precise, and convergent to the exact answer. As a result, solving nonlinear equations using VIM is regarded as a viable option

Drug shortages in Saudi Arabia: Root causes and recommendations

Drug shortages are a multifaceted problem that has been recurring in Saudi Arabia over the past decade with its significant negative impact on patient care. However, there is a dearth of evidence about possible domestic reasons, if any, behind this recurring problem. Recently, the Pharmacy Education Unit at King Saud University College of Pharmacy has called for a meeting with multiple stakeholders from academia, pharmaceutical care, pharmaceutical industry, purchasing and planning, and regulatory bodies to unveil the root domestic causes of the drug shortages in the Kingdom. Four major topics were used to guide the discussion in this meeting, including: current situation of drug shortages in Saudi Arabia, major factors contributing to drug shortages, challenges and obstacles to improve drug supply, and stakeholders’ recommendations to manage drug shortages. The meeting was audio-recorded and transcribed into verbatim by five authors. The text was then reviewed and analyzed to identify different themes by the first and third authors. Multiple causes were identified and several recommendations were proposed. The main domestic causes of drug shortages that were explored in this study included poor medication supply chain management, lack of government regulation that mandates early notification of drug shortages, a government procurement policy that does not keep pace with the changes in the pharmaceutical market, low profit margins of some essential drugs, weak and ineffective law-violation penalties against pharmaceutical companies and licensed drug importers and distributors, and overdependence on drug imports. The participants have also proposed multiple recommendations to address drug shortages. Policy makers should consider these factors that contribute to drug shortages in Saudi Arabia as well as the recommendations when designing future initiatives and interventions to prevent drug shortages. Keywords: Shortage, Drugs, Patient safet

SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

Background: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population