Post-Vaccination COVID-19 Data Analysis: Privacy and Ethics
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866915042479308800 |
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| author | Das, Sankha Dua, Amit |
| author_facet | Das, Sankha Dua, Amit |
| contents | The COVID-19 pandemic has severely affected the world in terms of health, economy and peace. Fortunately, the countries are trying to overcome the situation by actively carrying out vaccinations. However, like any other massive operation involving humans such as human resource management, elections, surveys, etc., the vaccination process raises several questions about citizen privacy and misuse of personal data. In most of the countries, few attempts have been made to verify the vaccination statistics as reported by the health centers. These issues collectively require the solutions of anonymity of citizens' personal information, immutability of vaccination data and easy yet restricted access by adversarial bodies such as the government for the verification and analysis of the data. This paper introduces a blockchain-based application to simulate and monitor the vaccination process. The structure of data model used in the proposed system is based on the IEEE Standard for Data Format for Blockchain Systems 2418.2TM-2020. The proposed system enables authorized stakeholders to share and access relevant information for vaccination process chain while preserving citizen privacy and accountability of the system. It is implemented on the Ethereum blockchain and uses a Python API for the simulation and validation of each step of the vaccination process. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_00774 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Post-Vaccination COVID-19 Data Analysis: Privacy and Ethics Das, Sankha Dua, Amit Cryptography and Security The COVID-19 pandemic has severely affected the world in terms of health, economy and peace. Fortunately, the countries are trying to overcome the situation by actively carrying out vaccinations. However, like any other massive operation involving humans such as human resource management, elections, surveys, etc., the vaccination process raises several questions about citizen privacy and misuse of personal data. In most of the countries, few attempts have been made to verify the vaccination statistics as reported by the health centers. These issues collectively require the solutions of anonymity of citizens' personal information, immutability of vaccination data and easy yet restricted access by adversarial bodies such as the government for the verification and analysis of the data. This paper introduces a blockchain-based application to simulate and monitor the vaccination process. The structure of data model used in the proposed system is based on the IEEE Standard for Data Format for Blockchain Systems 2418.2TM-2020. The proposed system enables authorized stakeholders to share and access relevant information for vaccination process chain while preserving citizen privacy and accountability of the system. It is implemented on the Ethereum blockchain and uses a Python API for the simulation and validation of each step of the vaccination process. |
| title | Post-Vaccination COVID-19 Data Analysis: Privacy and Ethics |
| topic | Cryptography and Security |
| url | https://arxiv.org/abs/2412.00774 |