Tracking Ebola through cellphone, internet of things and Blockchain technology

Kangbai, Jia Bainga; Bai, Péter; Mandoh, Sulaiman; Fofanah, Abu Bakarr; George, Angella; Briama, Abdulai; Massaquoi, Momodu; McBrayer, John L

doi:10.4172/2529-797x.1000035

Cited by 8 publications

(5 citation statements)

References 16 publications

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“…The system for monitoring directly transmitted diseases plays a crucial role in managing the activities of detection, notification, contact tracing, investigation, intervention, and handling of cases, contacts, and outbreak clusters throughout the entire healthcare network. Simultaneously, it supports real-time disease surveillance [2]. The system comprises three main components that communicate with each other through a shared database, HTTP, and EventBus (a mechanism that facilitates inter-component communication, enabling disparate components to interact with one another without requiring explicit knowledge of each other's existence).…”

Section: The Enhanced System For Monitoring Directly Transmitted Dise...mentioning

confidence: 99%

“…The utilization of information technology in disease surveillance plays a vital role in enhancing the capacity and effectiveness of disease control efforts, making it one of the key priorities at present [1,2]. The current infectious disease control system in Ho Chi Minh City encompasses various healthcare facilities, including hospitals, Ho Chi Minh City Center for Disease Control (HCDC), 24 district health centers and 319 commune health stations.…”

Section: Introductionmentioning

confidence: 99%

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Utilizing Information Technology to Enhance the Capacity and Efficiency of Control System for Transmissible Diseases in Ho Chi Minh City

Nguyen,

et al. 2023

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A research and development study was conducted from September 2020 to April 2023 involving 9 hospitals, 24 district health centers and 319 commune health stations. The main objective of the study was to establish,refine, and update a system for controlling directly transmitted diseases in Ho Chi Minh City, as well as assess its practical implementation. Before the system update, the study identified limitations in disease surveillance, particularly in monitoring cases that were not examined or treated at hospitals. The existing reportingmechanisms also resulted in incomplete disease data, with subpar data quality due to delays and inadequate processing of reported cases. Considering the prevailing circumstances, management requirements and usage needs, the system underwent enhancements and integrated GIS capabilities. This allowed healthcare personnel to swiftly and accurately identify disease cases, determine contacts, establish epidemiological zones, tracetransmission chains, and monitor the implementation of control measures. The improved control system has been successfully implemented, ensuring effective management of community-based hand, foot, and mouth disease. Additionally, the system demonstrates the potential for broader applicability in managing other directly transmitted diseases.

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Section: The Enhanced System For Monitoring Directly Transmitted Dise...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Utilizing Information Technology to Enhance the Capacity and Efficiency of Control System for Transmissible Diseases in Ho Chi Minh City

Nguyen,

et al. 2023

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“…Blockchain and AI are able to provide viable solutions to cope with the coronavirus epidemic from various aspects (Chamola et al 2020). In fact, blockchain and AI have been applied to other infectious epidemics, such as Ebola (Kangbai et al 2018) where blockchain was employed to conduct real-time Ebola contact tracing, transmission pattern surveillance, and vaccine delivery and also reveals that the cryptographic feature of blockchain can help prevent unsecure data sharing between patients and health entities such as healthcare providers (Pathak et al 2021).…”

Section: Blockchain and Ai For Fighting Covid-19mentioning

confidence: 99%

Blockchain and artificial intelligence technology in e-Health

Tagde

Tagde²,

Bhattacharya

et al. 2021

Environ Sci Pollut Res

144

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Blockchain and artificial intelligence technologies are novel innovations in healthcare sector. Data on healthcare indices are collected from data published on Web of Sciences and other Google survey from various governing bodies. In this review, we focused on various aspects of blockchain and artificial intelligence and also discussed about integrating both technologies for making a significant difference in healthcare by promoting the implementation of a generalizable analytical technology that can be integrated into a more comprehensive risk management approach. This article has shown the various possibilities of creating reliable artificial intelligence models in e-Health using blockchain, which is an open network for the sharing and authorization of information. Healthcare professionals will have access to the blockchain to display the medical records of the patient, and AI uses a variety of proposed algorithms and decision-making capability, as well as large quantities of data. Thus, by integrating the latest advances of these technologies, the medical system will have improved service efficiency, reduced costs, and democratized healthcare. Blockchain enables the storage of cryptographic records, which AI needs.

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“…However, little had been published on this topic and its application to infectious disease control before the COVID-19 pandemic, despite prior outbreaks of other diseases. One of the first contributions in this space is by Kangbai et al [ 68 ], who proposed a “Blockchain platform to conduct real-time Ebola contact tracing” in the context of the 2018 outbreak of this highly virulent virus in the Democratic Republic of Congo. Subsequently, the COVID-19 pandemic has led to increased interest in the topic and several publications and preprints in the medical and engineering literature.…”

Section: Algorithmic Contact Tracingmentioning

confidence: 99%

Test, Trace, and Put on the Blockchain?: A Viewpoint Evaluating the Use of Decentralized Systems for Algorithmic Contact Tracing to Combat a Global Pandemic

Platt

Hasselgren

Román-Belmonte

et al. 2021

JMIR Public Health Surveill

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The enormous pressure of the increasing case numbers experienced during the COVID-19 pandemic has given rise to a variety of novel digital systems designed to provide solutions to unprecedented challenges in public health. The field of algorithmic contact tracing, in particular, an area of research that had previously received limited attention, has moved into the spotlight as a crucial factor in containing the pandemic. The use of digital tools to enable more robust and expedited contact tracing and notification, while maintaining privacy and trust in the data generated, is viewed as key to identifying chains of transmission and close contacts, and, consequently, to enabling effective case investigations. Scaling these tools has never been more critical, as global case numbers have exceeded 100 million, as many asymptomatic patients remain undetected, and as COVID-19 variants begin to emerge around the world. In this context, there is increasing attention on blockchain technology as a part of systems for enhanced digital algorithmic contact tracing and reporting. By analyzing the literature that has emerged from this trend, the common characteristics of the designs proposed become apparent. An archetypal system architecture can be derived, taking these characteristics into consideration. However, assessing the utility of this architecture using a recognized evaluation framework shows that the added benefits and features of blockchain technology do not provide significant advantages over conventional centralized systems for algorithmic contact tracing and reporting. From our study, it, therefore, seems that blockchain technology may provide a more significant benefit in other areas of public health beyond contact tracing.

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Tracking Ebola through cellphone, internet of things and Blockchain technology

Cited by 8 publications

References 16 publications

Utilizing Information Technology to Enhance the Capacity and Efficiency of Control System for Transmissible Diseases in Ho Chi Minh City

Utilizing Information Technology to Enhance the Capacity and Efficiency of Control System for Transmissible Diseases in Ho Chi Minh City

Blockchain and artificial intelligence technology in e-Health

Test, Trace, and Put on the Blockchain?: A Viewpoint Evaluating the Use of Decentralized Systems for Algorithmic Contact Tracing to Combat a Global Pandemic

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