Safety and efficacy of Sinopharm vaccine (BBIBP-CorV) in elderly population of Faisalabad district of Pakistan.

INTRODUCTION: The first case of novel SARS-COV-2 (COVID-19) in Pakistan was detected on 26 February 2020. Pharmacological and non-pharmacological strategies have been tried to lessen the mortality and morbidity burden. Various vaccines have been approved. The Drug Regulatory Authority of Pakistan gave emergency approval for Sinopharm (BBIBP-CorV) COVID-19 vaccine in December 2021. The phase 3 trial of BBIBP-CorV included only 612 participants aged 60 years and above. The primary aim of this study was to assess the safety and efficacy of BBIBPP-CorV (Sinopharm) vaccine within the Pakistani adult population aged 60 or above. The study was carried out in the Faisalabad district of Pakistan. METHODS: A test negative case-control study design was used to assess safety and efficacy of BBIBP-CorV in individuals aged 60 and above against symptomatic infection, hospitalisations and mortality due to SARS-CoV-2 among vaccinated and unvaccinated individuals. ORs were calculated using logistic regression model at 95% CI. ORs were used to calculate the vaccine efficacy (VE) by using the following formula.VE= (1-OR) ×100. RESULTS: 3426 individuals with symptoms of COVID-19 were PCR tested between 5 May 2021 and 31 July 2021. The results showed that Sinopharm vaccine 14 days after the second dose was efficient in reducing the risk of symptomatic COVID-19 infection, hospitalisations and mortality by 94.3%, 60.5% and 98.6%, respectively, among vaccinated individuals with a significant p value of 0.001. CONCLUSION: Our study showed that BBIBP-CorV vaccine is highly effective in preventing infection, hospitalisations and mortality due to COVID-19.

4E analysis of a two-stage refrigeration system through surrogate models based on response surface methods and hybrid grey wolf optimizer.

Refrigeration systems are complex, non-linear, multi-modal, and multi-dimensional. However, traditional methods are based on a trial and error process to optimize these systems, and a global optimum operating point cannot be guaranteed. Therefore, this work aims to study a two-stage vapor compression refrigeration system (VCRS) through a novel and robust hybrid multi-objective grey wolf optimizer (HMOGWO) algorithm. The system is modeled using response surface methods (RSM) to investigate the impacts of design variables on the set responses. Firstly, the interaction between the system components and their cycle behavior is analyzed by building four surrogate models using RSM. The model fit statistics indicate that they are statistically significant and agree with the design data. Three conflicting scenarios in bi-objective optimization are built focusing on the overall system following the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Linear Programming Technique for Multidimensional Analysis of Preference (LINMAP) decision-making methods. The optimal solutions indicate that for the first to third scenarios, the exergetic efficiency (EE) and capital expenditure (CAPEX) are optimized by 33.4% and 7.5%, and the EE and operational expenditure (OPEX) are improved by 27.4% and 19.0%. The EE and global warming potential (GWP) are also optimized by 27.2% and 19.1%, where the proposed HMOGWO outperforms the MOGWO and NSGA-II. Finally, the K-means clustering technique is applied for Pareto characterization. Based on the research outcomes, the combined RSM and HMOGWO techniques have proved an excellent solution to simulate and optimize two-stage VCRS.

Comparative analysis of mRNA and inactivated COVID-19 vaccines: A study from Faisalabad district of Pakistan.

BACKGROUND: Pakistan has vaccinated over 122 million people. The two vaccines in widespread use are inactivated (BBIBP-CorV & Sinovac) and mRNA forms (BNT162b2 & mRNA-1273). The primary aim of this study was to compare these two forms of vaccines against unvaccinated individuals collectively and then to see which one is more efficacious. METHODS: Case-control study design was used to compare the efficacy of inactivated and mRNA vaccines against symptomatic infection, hospitalisations and mortality due to Severe Acute Respiratory Syndrome Coronavirus 2 between vaccinated and unvaccinated individuals. We derived recovery time from illness for both vaccines. Furthermore, we also compared the vaccines against similar parameters (symptomatic disease, hospitalisations and mortality). We calculated crude odds ratios for each dependent variable. p value of 0.05 or below was considered significant. RESULTS: Vaccinated individuals were significantly protected from hospitalisations and mortality compared to unvaccinated individuals (p < 0.001). There was no difference in protection from symptomatic disease (p = 0.28), hospitalisations (p = 0.59) and mortality (p = 0.53) between two forms of vaccines. mRNA vaccine had better recovery time than all other vaccines (p < 0.001). DISCUSSION: Our study showed that vaccinated individuals are at low risk of hospitalisations and mortality even without a booster and both vaccine forms are equally effective at preventing hospitalisations and mortality.

Predictors of Osteopathic Medical Students' Readiness to Use Health Information Technology.

CONTEXT: The advent of health information technology (HIT) tools can affect the practice of modern medicine in many ways, ideally by improving quality of care and efficiency and reducing medical errors. Future physicians will play a key role in the successful implementation of HIT. However, osteopathic medical students' willingness to learn, adopt, and use technology in a health care setting is not well understood. OBJECTIVE: To understand osteopathic medical students' knowledge, attitudes, and behaviors regarding HIT and to identify factors that may be related to their readiness to use HIT. METHODS: Using a cross-sectional approach, quantitative surveys were collected from students attending a large osteopathic medical school. Multivariate regression modeling was used to determine whether knowledge, attitudes, behaviors, and personal characteristics were associated with students' readiness to use HIT in future clinical practice. RESULTS: Six hundred four students responded to at least 70% of the survey and were included in the analysis. Multivariate modeling successfully explained the 26% of variance in predicting students' readiness to use HIT (F8,506=22.6, P<.001, R2=0.263). Greater self-efficacy, openness to change (in academic/work settings), favorable attitudes toward HIT use, mobile technology use, younger age, being male, and prior exposure to technology were associated with readiness to use HIT. CONCLUSION: Understanding students' level of HIT readiness may help guide medical education intervention efforts to better prepare future osteopathic physicians for HIT engagement and use. Innovative approaches to HIT education in medical school curricula that include biomedical informatics may be necessary.