A Blockchain and AI Based Vaccination Tracking Framework for Coronavirus (COVID-19) Epidemics

【Author】 Pradhan, Nihar Ranjan; Mahule, Rajesh; Wamuyu, Patrick Kanyi; Rathore, Pradeep Kumar; Singh, Akhilendra Pratap

【Source】IETE JOURNAL OF RESEARCH

【影响因子】1.877

【Abstract】The Coronavirus disease, i.e. (COVID-19) pandemic outbreaks has inevitably lead to a corresponding movement restrictive measure by the members of both central and state government leadership. The current limitation of healthcare systems cannot predict the COVID-19 outbreaks and vaccination drive. The need of the hour is to use Blockchain Technology for the construction of immutable ledger. In this paper a Blockchain and Artificial Intelligence (AI) enabled COVID-19 vaccine tracking system has been proposed. The proposed system is designed using the Ethereum Virtual Machine (EVM), decentralized storage by Inter Planetary File System (IPFS) and implemented using Truffle and Ganache Tool. The smart contract interaction among the entities is developed with Drizzle and the front-end using ReactJS . The performance of the proposed framework has been presented with Keccack 256 transaction hash, the total number of transactions, gas consumed by each contract. Additionally the performance parameters such as latency, throughput, traffic in, out, CPU, and memory utilization of the blockchain framework are also calculated. The artificial neural network (ANN) has been used to classify the vaccination group. Such an attempt is a worthwhile addition to the state of the art as evident from the results presented herein. The proposed framework provides a way for vaccinated members of the community to be tracked and indexed so as to avail the benefits, for example, less restrictive movements nationally, internationally, or simply in their own respective communities. This paper leverages the advantages of Blockchain Technology to obtain a reliable and accurate way to facilitate the entire tracking process.

【Keywords】Blockchain; COVID-19; Ganache; Keccack-256; Tracing; Truffle; Vaccination

【发表时间】

【收录时间】2022-06-26

【文献类型】实证性文章

【主题类别】

区块链应用-实体经济-医疗领域