Blockchain Powered Vaccine Efficacy for Pharma Sector

Author:

Sharmila 1,Bhushan Shashi2ORCID,Kumar Pramod3,Garg Anuj Kumar4,Nair Shyam5ORCID

Affiliation:

1. Department of Electronics & Communication Engineering, Krishna Engineering College, Ghaziabad, India

2. Department of Computer Science, Amity University Punjab, Mohali, India

3. Department of Computer Science & Engineering, MIET College, Meerut, India

4. Department of Blockchain, Zebpay, India

5. Department of Information Technology, BlueCrest University College, Liberia

Abstract

Infectious and contagious diseases exist in humanity for many centuries which causes a curb in the growth of the population. Immunization plays a vital role to prevent mortality and morbidity against infectious diseases. COVID-19 pandemic continues to rage the urgency of developing a vaccine that should ensure the safety, efficacy, swift and fair deployment, implementation, and monitoring of vaccines across the globe. In the present context, the vaccine production to immunization campaign is a critical challenge. Therefore, an effective vaccine supply chain mechanism is required to address issues such as counterfeit vaccines, reduce vaccine wastages, and vaccine record fraud. In this paper, a blockchain-enabled vaccine supply chain is proposed to ensure the correctness, transparency, trust, and immutable log and improve the efficiency of vaccine distribution in the cold chain. The uniqueness of the proposed system is to provide distributed system to verify the reliability and efficacy of the vaccine from production to end beneficiaries’ feedback about the vaccine. Our proposed system gives a clear view to the users as well as to the healthcare provider about the vaccination and ensures the anticounterfeit vaccine. The proposed system minimizes counterfeit vaccines and records, provides transparent communication between stakeholders in the supply chain, and improves the security of the vaccine supply chain and immutable feedback system about the vaccine.

Publisher

Hindawi Limited

Subject

Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine

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