The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
An intelligent blockchain-based system for safe vaccine supply and supervision
Abstract
Abstract Immunization is an indispensable mechanism for preventing infectious diseases in modern society, and vaccine safety is closely related to public health and national security. However, issues such as vaccine expiration and vaccine record fraud are still widespread in vaccine supply chains. Therefore, an effective management system for the supervision of vaccine supply chains is urgently required. As the next generation of core technology after the Internet, blockchain is designed to build trust mechanisms that can change current information management methods. Meanwhile, the development of machine learning technologies provides additional ways to analyze the data in information management systems. The main objective of this study is to develop a “vaccine blockchain” system based on blockchain and machine learning technologies. This vaccine blockchain system is designed to support vaccine traceability and smart contract functions, and can be used to address the problems of vaccine expiration and vaccine record fraud. Additionally, the use of machine learning models can provide valuable recommendations to immunization practitioners and recipients, allowing them to choose better immunization methods and vaccines.
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Cites
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Cited by
Dutta, P., Choi, T.-M., Somani, S., & Butala, R. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.102067 · Cited by 1,545
Feng, H., Wang, X., Duan, Y., Zhang, J., & Zhang, X. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.121031 · Cited by 788
Wamba, S. F., & Queiroz, M. M. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.102064 · Cited by 470
Lim, M. K., Li, Y., Wang, C., & Tseng, M.-L. (2021) · Computers & Industrial Engineering · doi:10.1016/j.cie.2021.107133 · Cited by 382
Kumar, S., Lim, W. M., Sivarajah, U., & Kaur, J. (2022) · Information Systems Frontiers · doi:10.1007/s10796-022-10279-0 · Cited by 359
Metadata
- Authors
- Yong, B., Shen, J., Liu, X., Li, F., Chen, H., & Zhou, Q.
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 52
- Pages
- 102024
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W2986442689
- Cited by
- 258
- References
- 50
- FWCI
- 41.55
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yong, B., Shen, J., Liu, X., Li, F., Chen, H., & Zhou, Q. (2020). An intelligent blockchain-based system for safe vaccine supply and supervision. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2019.10.009
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
