Tracking Ebola through cellphone, internet of things and Blockchain technology
Open accessAbstract
Objective: In the absence of any approved therapeutics and vaccines to treat or prevent Ebola infection, managing Ebola outbreak largely depends on early case detection and surveillance, real-time communication of surveillance data, and Ebola case management. Here we assessed the possibility of uploading data obtained by Internet of Internet device that monitors cellphone company’s Call Data Records (CDR), national demographic census, national transportation system and Ebola vaccine production databases on a Blockchain platform to conduct real-time Ebola contact tracing, transmission pattern surveillance and vaccine delivery. Results: Mobility data obtained by Internet of Things (IoT) from CDR from cellphone companies, national transportation system, and census demographic data can be integrated into a Blockchain platform to provide real-time Ebola surveillance and contact-tracing. While cellphone data provides a unique opportunity to quantify human mobility, Blockchain system magnifies such opportunity by making the data accessible to many actors in real-time. By mounting data from CDR, national population census, national transport system and Ebola vaccine production database on a Blockchain platform will provide additional lens in our understanding of the role played by human population dynamics in the spread as well and containment of Ebola during outbreaks
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Blockchain has been applied to Ebola where it was employed to conduct real-time Ebola contact tracing, transmission pattern surveillance and vaccine delivery.
“In fact, blockchain has been applied to other infectious epidemics, such as Ebola [18] where blockchain was employed to conduct real-time Ebola contact tracing, transmission pattern surveillance and vaccine delivery.”
From Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey (2021) · cites this paper as [18]
The cryptographic feature of blockchain can help prevent unsecure data sharing between patients and health entities such as healthcare providers.
“This project also reveals that the cryptographic feature of blockchain can help prevent unsecure data sharing between patients and health entities such as healthcare providers.”
From Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey (2021) · cites this paper as [18]
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- Authors
- Kangbai, J. B., v, P. B., Mandoh, S., Fofanah, A. B., George, A., Briama, A., Massaquoi, M., & McBrayer, J. L.
- Affiliations
- Njala University (SL)
- Charles Sturt University (AU)
- University of Massachusetts Amherst (US)
- Corresponding author
- Kangbai, Jia Bainga
- Venue
- Current Research: Integrative Medicine
- Publisher
- OMICS Publishing Group
- Published
- 2018
- ISSN
- 2529-797X (ISSN-L)
- OpenAlex
- W2910885846
- Cited by
- 12
- References
- 19
- Citations by year
- 2024: 1 · 2023: 4 · 2022: 4 · 2021: 3
- FWCI
- 0.57
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- Current Research Integrative Medicine (publishedVersion, cc-by-nc)
- Topics
- Health Sciences › Medicine › Infectious Diseases › Viral Infections and Outbreaks Research
- Health Sciences › Medicine › Epidemiology › Data-Driven Disease Surveillance
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Keywords
- Ebola, contact tracing, call detail records, Internet of Things, blockchain, human mobility, disease surveillance, transmission patterns, vaccine delivery, transportation data, census data, epidemic containment
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