A new vaccine supply chain network under COVID-19 conditions considering system dynamic: Artificial intelligence algorithms

Kamran, Mehdi A.; Kia, Reza; Goodarzian, Fariba; Ghasemi, Peiman

doi:10.1016/j.seps.2022.101378

Cited by 56 publications

(21 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Blockchain combined with unmanned aerial vehicle communication networks can ensure transparency of the vaccine supply chain and mitigate security attacks [157,161]. Additionally, 11 studies [142][143][144][145][146][147][148][149][150][151][152] utilized algorithms, such as LSTM, machine learning regression, and artificial neural networks, to design optimal vaccine distribution strategies, monitor vaccine storage temperature, and address supply chain issues.…”

Section: Distribution and Delivery Of Covid-19 Vaccinesmentioning

confidence: 99%

Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review

et al. 2023

View full text Add to dashboard Cite

Background Social media and digital technologies have played essential roles in disseminating information and promoting vaccination during the COVID-19 pandemic. There is a need to summarize the applications and analytical techniques of social media and digital technologies in monitoring vaccine attitudes and administering COVID-19 vaccines. Objective We aimed to synthesize the global evidence on the applications of social media and digital technologies in COVID-19 vaccination and to explore their avenues to promote COVID-19 vaccination. Methods We searched 6 databases (PubMed, Scopus, Web of Science, Embase, EBSCO, and IEEE Xplore) for English-language articles from December 2019 to August 2022. The search terms covered keywords relating to social media, digital technology, and COVID-19 vaccines. Articles were included if they provided original descriptions of applications of social media or digital health technologies/solutions in COVID-19 vaccination. Conference abstracts, editorials, letters, commentaries, correspondence articles, study protocols, and reviews were excluded. A modified version of the Appraisal Tool for Cross-Sectional Studies (AXIS tool) was used to evaluate the quality of social media–related studies. The review was undertaken with the guidance of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. Results A total of 178 articles were included in our review, including 114 social media articles and 64 digital technology articles. Social media has been applied for sentiment/emotion analysis, topic analysis, behavioral analysis, dissemination and engagement analysis, and information quality analysis around COVID-19 vaccination. Of these, sentiment analysis and topic analysis were the most common, with social media data being primarily analyzed by lexicon-based and machine learning techniques. The accuracy and reliability of information on social media can seriously affect public attitudes toward COVID-19 vaccines, and misinformation often leads to vaccine hesitancy. Digital technologies have been applied to determine the COVID-19 vaccination strategy, predict the vaccination process, optimize vaccine distribution and delivery, provide safe and transparent vaccination certificates, and perform postvaccination surveillance. The applied digital technologies included algorithms, blockchain, mobile health, the Internet of Things, and other technologies, although with some barriers to their popularization. Conclusions The applications of social media and digital technologies in addressing COVID-19 vaccination–related issues represent an irreversible trend. Attention should be paid to the ethical issues and health inequities arising from the digital divide while applying and promoting these technologies.

show abstract

Section: Distribution and Delivery Of Covid-19 Vaccinesmentioning

confidence: 99%

Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The range of applications of simulation in models is wide. For example, Kamran et al ( 2022 ) presented a stochastic simulation–optimization model that is developed for the COVID-19 vaccine supply chain network. A system dynamics-based simulation model was used to investigate the COVID-19 outbreak in universities.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Environment and economic analysis of reverse supply chain scenarios for remanufacturing using discrete-event simulation approach

Ravichandran

Vimal

Kumar

et al. 2023

Environ Dev Sustain

View full text Add to dashboard Cite

The study covers the concepts involved in reverse supply chain modeling using the case of a manufacturing company. The purpose of this study is to build a sustainable reverse supply chain model for resource conservation through remanufacturing of stator shafts by using a discrete-event simulation approach. The simulation studies in the reverse supply chain have taken up cases of either plastic or electronic waste remanufacturing, while very limited studies deal with simulation of sustainable reverse supply chains using a manufacturing industry case study from international customers. In this study, reverse supply chain using simulation study in manufacturing sector is carried out using Arena Rockwell simulation software. The simulation model is built using discrete-event simulation for returns from customers of two developed countries, i.e., Germany and the USA to Chennai, India. The study emphasizes full container load and less than container load modes of shipment scenarios and multiple return cases. The comparative analysis suggests that the value-added and non-value-added time of the reverse supply chain is slightly greater in the less container load scenario. The wait time per entity in remanufacturing processes similar for both shipment scenarios varies significantly based on return cases. The cost and carbon emission associated with transportation, in the reverse supply chain inclusive of social carbon cost, have also been estimated. Therefore, the study proposes a possible sustainable reverse supply chain framework that could be adopted by different manufacturing industries and yield opportunities for performance improvement.

show abstract

“…Recently, many studies have focused on the impact assessment of COVID-19 on safety and healthcare (e.g., [7] , [8] ), logistics and supply chains (e.g., [9] , [10] , [11] , [12] ), and on COVID-19 risk assessment [13] , [14] , [15] .…”

Section: Introductionmentioning

confidence: 99%

Predicting and explaining absenteeism risk in hospital patients before and during COVID-19

Borges

Carvalho

Maia

et al. 2023

Socio-Economic Planning Sciences

View full text Add to dashboard Cite

A new vaccine supply chain network under COVID-19 conditions considering system dynamic: Artificial intelligence algorithms

Cited by 56 publications

References 41 publications

Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review

Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review

Environment and economic analysis of reverse supply chain scenarios for remanufacturing using discrete-event simulation approach

Predicting and explaining absenteeism risk in hospital patients before and during COVID-19

Contact Info

Product

Resources

About