Reducing COVID-19 cases and deaths by applying blockchain in vaccination rollout management
Document Type
Article
Publication Date
1-1-2021
Abstract
Goal: Because a fast vaccination rollout against coronavirus disease 2019 (COVID-19) is critical to restore daily life and avoid virus mutations, it is tempting to have a relaxed vaccination-administration management system. However, a rigorous management system can support the enforcement of preventive measures, and in turn, reduce incidence and deaths. Here, we model a trustable and reliable management system based on blockchain for vaccine distribution by extending the Susceptible-Exposed-Infected-Recovery (SEIR) model. The model includes prevention measures such as mask-wearing, social distancing, vaccination rate, and vaccination efficiency. It also considers negative social behavior, such as violations of social distance and attempts of using illegitimate vaccination proofs. By evaluating the model, we show that the proposed system can reduce up to 2.5 million cases and half a million deaths in the most demanding scenarios.
Identifier
85121059705 (Scopus)
Publication Title
IEEE Open Journal of Engineering in Medicine and Biology
External Full Text Location
https://doi.org/10.1109/OJEMB.2021.3093774
e-ISSN
26441276
First Page
249
Last Page
255
Volume
2
Recommended Citation
Medina, Jorge; Cessa-Rojas, Roberto; and Umpaichitra, Vatcharapan, "Reducing COVID-19 cases and deaths by applying blockchain in vaccination rollout management" (2021). Faculty Publications. 4511.
https://digitalcommons.njit.edu/fac_pubs/4511