The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Blockchain and Artificial Intelligence Technology for Novel Coronavirus Disease 2019 Self-Testing
Open accessAbstract
The novel coronavirus disease 2019 (COVID-19) is rapidly spreading with a rising death toll and transmission rate reported in high income countries rather than in low income countries. The overburdened healthcare systems and poor disease surveillance systems in resource-limited settings may struggle to cope with this COVID-19 outbreak and this calls for a tailored strategic response for these settings. Here, we recommend a low cost blockchain and artificial intelligence-coupled self-testing and tracking systems for COVID-19 and other emerging infectious diseases. Prompt deployment and appropriate implementation of the proposed system have the potential to curb the transmissions of COVID-19 and the related mortalities, particularly in settings with poor access to laboratory infrastructure.
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Cites
Blockchain technology in healthcare: The revolution starts here
Mettler, M. (2016) · 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) · doi:10.1109/healthcom.2016.7749510 · Cited by 1,237
Blockchain technology in healthcare: a systematic review
Agbo, C. C., Mahmoud, Q. H., & Eklund, J. M. (2019) · Healthcare · doi:10.3390/healthcare7020056 · Cited by 1,131
Blockchain Technology Use Cases in Healthcare
Zhang, P., Schmidt, D. C., White, J., & Lenz, G. (2018) · Advances in Computers · doi:10.1016/bs.adcom.2018.03.006 · Cited by 441
Bervell, B., & Al-Samarraie, H. (2019) · Social Science & Medicine · doi:10.1016/j.socscimed.2019.04.024 · Cited by 74
Cited by
Digital technologies in the public-health response to COVID-19
Budd, J., Miller, B. S., Manning, E. M., Lampos, V., Zhuang, M., Edelstein, M., Rees, G., Emery, V. C., Stevens, M. M., Keegan, N., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-1011-4 · Cited by 1,195
Golinelli, D., Boetto, E., Carullo, G., Nuzzolese, A. G., Landini, M. P., & Fantini, M. P. (2020) · Journal of Medical Internet Research · doi:10.2196/22280 · Cited by 574
Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey
Nguyen, D. C., Ding, M., Pathirana, P. N., & Seneviratne, A. (2021) · IEEE Access · doi:10.1109/access.2021.3093633 · Cited by 286
Applications of artificial intelligence in battling against covid-19: A literature review
Tayarani N., M.-H. (2021) · Chaos, Solitons & Fractals · doi:10.1016/j.chaos.2020.110338 · Cited by 210
COVID-19 and healthcare system in China: challenges and progression for a sustainable future
Sun, S., Xie, Z., Yu, K., Jiang, B., Zheng, S., & Pan, X. (2021) · Globalization and Health · doi:10.1186/s12992-021-00665-9 · Cited by 191
Metadata
- Authors
- Mashamba-Thompson, T. P., & Crayton, E. D.
- Venue
- Diagnostics
- Publisher
- MDPI AG
- Published
- 2020-04-01
- Volume
- 10
- Issue
- 4
- Pages
- 198
- ISSN
- 2075-4418 (ISSN-L)
- OpenAlex
- W3013960962
- Cited by
- 159
- References
- 4
- FWCI
- 4.13
- Type
- journal article
- Language
- en
- Open access
- gold
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