Literature DB >> 32300906

How Can Blockchain Help People in the Event of Pandemics Such as the COVID-19?

Min Cheol Chang1, Donghwi Park2.   

Abstract

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Mesh:

Year:  2020        PMID: 32300906      PMCID: PMC7162413          DOI: 10.1007/s10916-020-01577-8

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


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To the editors: Since the first case was diagnosed in Wuhan, China in late 2019, coronavirus disease 2019 (COVID-19) has spread globally at an unprecedented rate, and was declared a pandemic by the WHO on March 11, 2020 [1]. The fatality rate of COVID-19 is 2% – 5%, and the virus has caused many deaths worldwide as it is highly infectious. [2] In addition to COVID-19, a number of other novel infectious diseases have recently been encountered, such as severe acute respiratory syndrome in 2004, novel influenza in 2009, and Middle East respiratory syndrome in 2015, and this is expected to continue in future. Blockchain is a recently developed technology that allows transaction designers to make transactions directly through peer-to-peer (P2P) networks, without intermediary organizations, and to store transaction data in a distributed ledger. [3, 4] Because blockchain stores data from several individuals simultaneously, in order to amend the data, it is necessary to simultaneously modify the data divided between the individuals. This makes it almost impossible to forge or manipulate the data and ensure their reliability and transparency. [3, 4] The data stored in a blockchain are not erased, and so can be easily tracked. In addition, because the participation of intermediaries is minimized, savings in both financial and temporal expenses can be made. There have been attempts to use blockchain in various industries, including finance, distribution, and manufacturing, and its use in the field of medicine is also being researched. Below, we discuss how blockchain can help people in the event of an infectious disease such as the COVID-19. First, when infectious disease patients are detected, it is possible to quickly and accurately share their diagnostic information and clinical presentation. Currently, most countries have an infectious disease reporting system in which hospitals and clinics diagnose and report patients to the higher authorities, which in turn report the cases to the final authority. Whenever there are many intermediary processes for the report to pass from the hospital or clinic to the final institution, the reporting time may increase, which can make it difficult to respond promptly to infectious diseases. Moreover, this passive reporting method can result in the omission of reports. Furthermore, the use of a central server may inevitably result in greater damage if the system is exposed to a hacking attack during a crisis; thus, making it harder to detect altered data after hacking. If blockchain is used for infectious disease reporting systems, the data can be automatically reported to the final authority at the same instant that they are stored in the blockchain, without passing through any intermediary processing; this procedure would result in the improvement of the efficiency of data transfer regarding infectious disease outbreaks. In addition, because an arbitrary editing of the data would be impossible, the circumstances of the outbreak would be transparent and completely open to the public without manipulation. Second, the use of in-kind and monetary donations will become transparent. The whole process of donation, including logistics, warehousing, and distribution, can be stored in blockchain. The donor can transparently and precisely verify the transfer process and receipt of donated money or in-kind goods. Thus, blockchain can greatly reduce corruption regarding donations and improve social trust. Encouraging donations helps in providing aid to people who face medical or economic difficulties due to the spread of the infectious disease. Third, blockchain can prevent the spreading of false information regarding infectious diseases. False information confuses people and can cause psychological anxiety and economic loss. Storing news and information on a blockchain platform not only prevents its alteration, but also makes it traceable; thus, making it easier to prevent the development and spread of false information. Fourth, by eliminating the processes of printing and delivery of a letter of diagnosis to the original hospital or clinic, the blockchain can help in reducing the risk of infection through face-to-face contact. When an insurance subscriber claims a payout, the identity of the subscriber can be ascertained and the payment made with reference to the records of the hospital that is registered on the blockchain platform. We examined how blockchain can improve upon the shortcomings of the current system and thus help people during the current COVID-19 pandemic or in the event of other infectious diseases in future. We anticipate that blockchain technology will be able to play a greater role in future during actual infectious disease outbreaks.
  4 in total

1.  Blockchain Technology: Efficiently Managing Medical Information in the Pain Management Field.

Authors:  Min Cheol Chang; Ming-Yen Hsiao; Mathieu Boudier-Revéret
Journal:  Pain Med       Date:  2020-11-07       Impact factor: 3.750

Review 2.  Blockchain distributed ledger technologies for biomedical and health care applications.

Authors:  Tsung-Ting Kuo; Hyeon-Eui Kim; Lucila Ohno-Machado
Journal:  J Am Med Inform Assoc       Date:  2017-11-01       Impact factor: 4.497

3.  How Should Rehabilitative Departments of Hospitals Prepare for Coronavirus Disease 2019?

Authors:  Min Cheol Chang; Donghwi Park
Journal:  Am J Phys Med Rehabil       Date:  2020-06       Impact factor: 2.159

4.  Early dynamics of transmission and control of COVID-19: a mathematical modelling study.

Authors:  Adam J Kucharski; Timothy W Russell; Charlie Diamond; Yang Liu; John Edmunds; Sebastian Funk; Rosalind M Eggo
Journal:  Lancet Infect Dis       Date:  2020-03-11       Impact factor: 25.071

  4 in total
  18 in total

1.  Could Blockchain Help With COVID-19 Crisis?

Authors:  Mohamad Hassan Kassab; Valdemar Vicente Graciano Neto; Giuseppe Destefanis; Tarek Malas
Journal:  IT Prof       Date:  2021-08-19       Impact factor: 2.626

2.  Blockchain-Based Decentralized Digital Manufacturing and Supply for COVID-19 Medical Devices and Supplies.

Authors:  Walaa Alkhader; Khaled Salah; Andrei Sleptchenko; Raja Jayaraman; Ibrar Yaqoob; Mohammed Omar
Journal:  IEEE Access       Date:  2021-10-05       Impact factor: 3.367

3.  Block-HPCT: Blockchain Enabled Digital Health Passports and Contact Tracing of Infectious Diseases like COVID-19.

Authors:  Md Mamunur Rashid; Piljoo Choi; Suk-Hwan Lee; Ki-Ryong Kwon
Journal:  Sensors (Basel)       Date:  2022-06-02       Impact factor: 3.847

4.  Digital Technologies-Enabled Smart Manufacturing and Industry 4.0 in the Post-COVID-19 Era: Lessons Learnt from a Pandemic.

Authors:  Nicola Luigi Bragazzi
Journal:  Int J Environ Res Public Health       Date:  2020-07-03       Impact factor: 3.390

Review 5.  Blockchain for COVID-19: Review, Opportunities, and a Trusted Tracking System.

Authors:  Dounia Marbouh; Tayaba Abbasi; Fatema Maasmi; Ilhaam A Omar; Mazin S Debe; Khaled Salah; Raja Jayaraman; Samer Ellahham
Journal:  Arab J Sci Eng       Date:  2020-10-12       Impact factor: 2.334

6.  PSO-Blockchain-based image steganography: towards a new method to secure updating and sharing COVID-19 data in decentralised hospitals intelligence architecture.

Authors:  A H Mohsin; A A Zaidan; B B Zaidan; K I Mohammed; O S Albahri; A S Albahri; M A Alsalem
Journal:  Multimed Tools Appl       Date:  2021-01-22       Impact factor: 2.757

7.  Privacy-preserving contact tracing in 5G-integrated and blockchain-based medical applications.

Authors:  Can Zhang; Chang Xu; Kashif Sharif; Liehuang Zhu
Journal:  Comput Stand Interfaces       Date:  2021-02-09       Impact factor: 2.487

8.  [Challenges and implementation of blockchain on healthcare COVID-19 pandemic in Primary Care].

Authors:  J D Sánchez López; F Luque Martínez; E Gómez García
Journal:  Semergen       Date:  2021-05-28

9.  Neurological diseases as mortality predictive factors for patients with COVID-19: a retrospective cohort study.

Authors:  Jong-Moon Hwang; Ju-Hyun Kim; Jin-Sung Park; Min Cheol Chang; Donghwi Park
Journal:  Neurol Sci       Date:  2020-07-08       Impact factor: 3.307

Review 10.  Digital Technology-Based Telemedicine for the COVID-19 Pandemic.

Authors:  Yu-Ting Shen; Liang Chen; Wen-Wen Yue; Hui-Xiong Xu
Journal:  Front Med (Lausanne)       Date:  2021-07-06
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