ABSTRACT
Currently, the global spread of COVID-19 is taking a heavy toll on the lives of the global population. There is an urgent need to improve and strengthen the coordination of vaccine supply chains in response to this severe pandemic. In this study, we consider a closed-loop vaccine supply chain based on a combination of artificial intelligence and blockchain technologies and model the supply chain as a two-player dynamic game with inventory level as the dynamic equation of the system. The study focuses on the applicability and effectiveness of the two technologies in the vaccine supply chain and provides management insights. The impact of the application of the technologies on environmental performance is also considered in the model. We also examine factors such as the number of people vaccinated, positive and side effects of vaccines, vaccine decay rate, revenue-sharing/cost-sharing ratio, and commission ratio. The results are as follows: the correlation between the difficulty in obtaining certified vaccines and the profit of a vaccine manufacturer is not monotonous;the vaccine manufacturer is more sensitive to changes in the vaccine attenuation rate. The study’s major conclusions are as follows: First, the vaccine supply chain should estimate the level of consumers’ difficulty in obtaining a certified vaccine source and the magnitude of the production planning and demand forecasting error terms before adopting the two technologies. Second, the application of artificial intelligence (AI) technology is meaningful in the vaccine supply chain when the error terms satisfy a particular interval condition.
ABSTRACT
As SARS-CoV-2 variants continue to evolve, identifying variants with adaptive diagnostic tool is critical to containing the ongoing COVID-19 pandemic. Herein, we establish a highly sensitive and portable on-site detection method for the HV69-70del which exist in SARS-CoV-2 Alpha and Omicron variants using a PCR-based CRISPR/Cas13a detection system (PCR-CRISPR). The specific crRNA (CRISPR RNA) targeting the HV69-70del is screened using the fluorescence-based CRISPR assay, and the sensitivity and specificity of this method are evaluated using diluted nucleic acids of SARS-CoV-2 variants and other pathogens. The results show that the PCR-CRISPR detection method can detect 1 copies/µL SARS-CoV-2 HV69-70del mutant RNA and identify 0.1% of mutant RNA in mixed samples, which is more sensitive than the RT-qPCR based commercial SARS-CoV-2 variants detection kits and sanger sequencing. And it has no cross reactivity with ten other pathogens nucleic acids. Additionally, by combined with our previously developed ERASE (Easy-Readout and Sensitive Enhanced) lateral flow strip suitable for CRISPR detection, we provide a novel diagnosis tool to identify SARS-CoV-2 variants in primary and resource-limited medical institutions without professional and expensive fluorescent detector.
ABSTRACT
Purpose>This paper aims to examine the relationship among guests’ lodging recovery experience, work-related rumination, guest satisfaction and well-being, within the context of hotels and bed and breakfasts (B&Bs).Design/methodology/approach>The sample included 823 Taiwanese full-time workers. The proposed relationships were tested using partial least square structural equation modeling, and the moderating effects of accommodation types were tested using multi-group analysis.Findings>The research findings indicate that staying at a hotel or B&B provides a respite from work and reduces negative, repetitive thoughts about work issues (work-related rumination). These recovery effects then contribute to customer satisfaction and hedonic and eudaimonic well-being.Practical implications>The findings indicate that practitioners need to develop products that could reduce customers’ negative emotional attachments to work and enhance the well-being of customers in a stressful society, which could ultimately contribute to promoting the public health of full-time workers.Originality/value>To the best of the authors’ knowledge, this study is the first to examine the stress-recovery aspect of lodging experiences and their impacts on customer satisfaction and well-being. Further insights are demonstrated with the inclusion of work-related rumination.