Samer Barakat, Hanady Al-Zagheer
Tracking of COVID-19 Symptoms using Blockchain Digital Ledger
The wide spread of COVID-19 virus made it compulsory for global health organizations and agencies to track and study of the COVID-19 symptoms in an effort to produce a reliable medication and vaccines. Scientists around the world are working to find and develop treatments for COVID-19. Most people who become ill with COVID-19 will be able to recover at home by getting enough rest, staying well hydrated and taking over the counter medication such as acetaminophen to relieve fever, aches, and pains. However, some people need advanced help and others need hospitalization. The FDA continues to grant emergency use authorization to two monoclonal antibody treatments for non-hospitalized adults and children over age 12 with mild to moderate COVID-19 symptoms who are at risk for developing severe COVID-19 or being hospitalized for it. The treatments are a combination of casirivimab and imdevimab, made by Regeneron; and a combination of bamlanivimab and etesevimab, made by Eli Lilly. In these patients, the approved treatment may reduce the risk of hospitalization and emergency room visits. These therapies must be given intravenously (by IV), which means a scheduling a visit in a clinic or hospital soon after developing symptoms. So, what symptoms are an indication that people need medication to prevent them from being hospitalized? The answer to this problem lies in the implementation of a Blockchain symptoms tracking system. This shall provide a reliable data that shall help scientists, researchers track COVID-19 symptoms and decide when, and what medication to provide to infected people. In this paper, we propose the development of a Blockchain symptoms tracking system to enable health organization track and collect COVID-19 symptoms in order to deliver an effective and efficient treatment.
Blockchain, COVID-19, symptoms, healthcare, digital, ledger
Cite this paper
Samer Barakat, Hanady Al-Zagheer. (2021) Tracking of COVID-19 Symptoms using Blockchain Digital Ledger. International Journal of Control Systems and Robotics, 6, 72-76