Industry 4.0 Technologies for the Manufacturing and Distribution of COVID-19 Vaccines

Autor: Azza Sarfraz, Zouina Sarfraz, Muzna Sarfraz, Aminah Abdul Razzack, Shehar Bano, Sarabjot Singh Makkar, Sindhu Thevuthasan, Trissa Paul, Muhammad Khawar Sana, Nishwa Azeem, Miguel Felix, Ivan Cherrez-Ojeda
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Journal of Primary Care & Community Health, Vol 13 (2022)
Druh dokumentu: article
ISSN: 2150-1327
21501319
DOI: 10.1177/21501319211068638
Popis: Background The evolutionary stages of manufacturing have led us to conceptualize the use of Industry 4.0 for COVID-19 (coronavirus disease 2019), powered by Industry 4.0 technologies. Using applications of integrated process optimizations reliant on digitized data, we propose novel intelligent networks along the vaccine value chain. Vaccine 4.0 may enable maintenance processes, streamline logistics, and enable optimal production of COVID-19 vaccines. Vaccine 4.0 Framework The challenge in applying Vaccine 4.0 includes the requirement of large-scale technologies for digitally transforming manufacturing, producing, rolling-out, and distributing vaccines. With our framework, Vaccine 4.0 analytics will target process performance, process development, process stability, compliance, quality assessment, and optimized maintenance. The benefits of digitization during and post the COVID-19 pandemic include first, the continual assurance of process control, and second, the efficacy of big-data analytics in streamlining set parameter limits. Digitization including big data-analytics may potentially improve the quality of large-scale vaccine production, profitability, and manufacturing processes. The path to Vaccine 4.0 will enhance vaccine quality, improve efficacy, and compliance with data-regulated requirements. Discussion Fiscal and logistical barriers are prevalent across resource-limited countries worldwide. The Vaccine 4.0 framework accounts for expected barriers of manufacturing and equitably distributing COVID-19 vaccines. With amalgamating big data analytics and biometrics, we enable the identification of vulnerable populations who are at higher risk of disease transmission. Artificial intelligence powered sensors and robotics support thermostable vaccine distribution in limited capacity regions, globally. Biosensors isolate COVID-19 vaccinations with low or limited efficacy. Finally, Vaccine 4.0 blockchain systems address low- and middle-income countries with limited distribution capacities. Conclusion Vaccine 4.0 is a viable framework to optimize manufacturing of vaccines during and post the COVID-19 pandemic.
Databáze: Directory of Open Access Journals
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