Developing Causality and Severity Assessment Frameworks for Food Safety Signals Using Social Media Reviews: A Technical Report Based on Data From an Urban Indian Suburb.

Social media reviews are a valuable data source, reflecting consumer experiences and interactions with businesses. This study leverages such data to develop a passive surveillance framework for food safety in urban India. By employing a Bidirectional Encoder Representations from Transformers (BERT)-powered Aspect-Based Sentiment Analysis tool, branded as Eat At Right Place (ERP), the study analyses over 100,000 reviews from 93 restaurants to identify and assess food safety signals. The Causality Assessment Index (CAI) and Severity Assessment Score (SAS) are introduced to systematically evaluate potential risks. The CAI uses pattern recognition and temporal relationships to establish causality while the SAS quantifies severity based on sub-aspects such as cleanliness, food handling, and unintended health outcomes. Results indicate that 40% of the restaurants had a CAI above 1, highlighting significant food safety concerns. The framework successfully prioritizes corrective actions by grading the severity of issues, demonstrating its potential for real-time food safety management. This study underscores the importance of integrating innovative data-driven approaches into public health monitoring systems and suggests future improvements in natural language processing algorithms and data source expansion. The findings pave the way for enhanced food safety surveillance and timely regulatory interventions.

Acceptability and Satisfaction of Patients and Providers With Telemedicine During the COVID-19 Pandemic: A Systematic Review.

COVID-19, also known as coronavirus disease 2019, is an extremely contagious viral sickness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). After the first cases of this primarily respiratory viral illness were recorded in Wuhan, Hubei Province, China, in late December 2019, SARS-CoV-2 rapidly disseminated across the globe. Consequently, on March 11, 2020, the World Health Organization (WHO) declared it a global pandemic. The rapid spread of the COVID-19 virus, coupled with subsequent lockdowns and social distancing measures, profoundly disrupted traditional healthcare delivery systems. Amidst the COVID-19 pandemic, telemedicine emerged as a pivotal solution for delivering healthcare services while minimizing exposure to the virus. This study aims to assess patient and provider satisfaction with telemedicine during this unprecedented period. A systematic literature search was conducted on PubMed and Google Scholar using specific MeSH terms and Preferred Reporting Items for Systematic Literature Reviews and Meta-Analyses (PRISMA) guidelines to summarize patient and provider satisfaction concerning telemedicine using all the facts, evidence, and published literature. The analysis showed that although providers were generally satisfied with telemedicine, they were less satisfied than patients due to technical issues and difficulties transmitting documents. Patients reported high satisfaction with telemedicine, citing convenience and cost savings as major benefits. However, a lack of provider compensation was identified as a potential barrier to adoption. Most providers believed that telemedicine was only necessary in emergencies while a few recognized its potential for routine care. The study concludes that telemedicine has the potential to improve healthcare access and efficiency, but more research is needed to address technical and reimbursement issues and to determine the appropriate scope of telemedicine use. Overall, the findings of this study can inform future healthcare policies and regulations to ensure that telemedicine is used effectively and to the satisfaction of both patients and providers.

Development and optimization of kaempferol loaded ethosomes using Box-Behnken statistical design: In vitro and ex-vivo assessments.

Kaempferol (KMP) belong to flavonoid class have developed in ethosomal formulation and were evaluated for their potential to treat diabetic foot ulcers. Even though ethosomes are highly deformable, they can pass through human skin intact. KMP ethosomes were formulated using the cold method and optimized by Box-Behnken design (BBD) (three-factor, three-level (33 )). The formulation variables used for optimization are drug concentration of KMP, soylecithin content, and ethanol percentage. The optimized formulation was examined using transmission electronic microscopy (TEM), differential scanning calorimetry (DSC), Fourier transform infrared (FTIR) spectroscopy, in-vitro release, ex-vivo permeation studies, and storage stability. The optimized KMP ethosomes was found to have vesicle size (VS) of 283 ± 0.3 nm and zeta potential (ZP) of -29.67 ± 0.3 mV, polydispersity index (PDI) of 0.36, % entrapment efficiency (%EE) of 91.02 ± 0.21%, drug loading (%) of 46.23 ± 2.5% followed by good storage stability at 4°C/60 ± 5% RH. In vitro drug release of optimized KMP ethosomes was 88.2 ± 2.75%, which was approximately double when compared with pure KMP release, that is 49.9 ± 1.89%. The release kinetics for optimized KMP ethosomes follows the Korsmeyer-Peppas model. An apparent permeation coefficient of 356.25 ± 0.5 µg/cm2 was determined and compared with pure KMP (118.46 ± 0.3 µg/cm2 ) for 24 h. According to the study, ethosomes can be a cutting-edge strategy that offers a new delivery method for prolonged and targeted distribution of KMP in a variety of dosage forms including oral, topical, transdermal, and so forth.