Abstract
Infectious disease spread modeling plays a pivotal role in public health planning and emergency response. However, traditional models often face challenges relating to data integrity, transparency, and efficiency. This paper addresses these limitations by introducing a novel approach using blockchain technology and smart contracts for storing medical records and modeling disease spread. Our contribution is twofold. Firstly, we propose a blockchain-based system for storing medical records, enhancing data integrity and transparency. Secondly, we utilize smart contracts to generate Non-Fungible Tokens (NFTs) representing unique instances of infectious disease cases. We also implement our proof-of-concept on four Ethereum Virtual Machine (EVM)-supported platforms: Celo, Fantom, Polygon, and Binance Smart Chain. Through extensive testing, we evaluate the strengths and weaknesses of each platform in terms of cost, speed, and efficiency.
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Notes
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Implementation of these models was released at 11/24/2022, 8:44:53 AM UTC, with the last update collected at 06/02/2023.
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These values are subject to change with the highly dynamic nature of cryptocurrency markets.
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Tien, D.B. et al. (2024). CIDM-BSC: Cross-platform Infectious Disease Modeling Framework Using Blockchain and Smart Contracts. In: Koucheryavy, Y., Aziz, A. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN ruSMART 2023 2023. Lecture Notes in Computer Science, vol 14542. Springer, Cham. https://doi.org/10.1007/978-3-031-60994-7_24
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