Internet of Things and Blockchain-Based Framework for Coronavirus (COVID-19) Disease

Alam, Tanweer; Benaida, Mohamed

doi:10.3991/ijoe.v18i06.29919

Cited by 3 publications

(2 citation statements)

References 24 publications

(25 reference statements)

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“…Early in the COVID-19 pandemic, it was unclear how healthcare costs and use would alter globally. Although a pandemic may lead to higher health expenses, spending and use declined [ 18 ] due to other considerations. The cost of combating fraud and upholding rules is a factor.…”

Section: Introductionmentioning

confidence: 99%

Managing Security of Healthcare Data for a Modern Healthcare System

Almalawi

Khan

Alsolami

et al. 2023

Sensors

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The advent of Artificial Intelligence (AI) and the Internet of Things (IoT) have recently created previously unimaginable opportunities for boosting clinical and patient services, reducing costs and improving community health. Yet, a fundamental challenge that the modern healthcare management system faces is storing and securely transferring data. Therefore, this research proposes a novel Lionized remora optimization-based serpent (LRO-S) encryption method to encrypt sensitive data and reduce privacy breaches and cyber-attacks from unauthorized users and hackers. The LRO-S method is the combination of hybrid metaheuristic optimization and improved security algorithm. The fitness functions of lion and remora are combined to create a new algorithm for security key generation, which is provided to the serpent encryption algorithm. The LRO-S technique encrypts sensitive patient data before storing it in the cloud. The primary goal of this study is to improve the safety and adaptability of medical professionals’ access to cloud-based patient-sensitive data more securely. The experiment’s findings suggest that the secret keys generated are sufficiently random and one of a kind to provide adequate protection for the data stored in modern healthcare management systems. The proposed method minimizes the time needed to encrypt and decrypt data and improves privacy standards. This study found that the suggested technique outperformed previous techniques in terms of reducing execution time and is cost-effective.

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Section: Introductionmentioning

confidence: 99%

Managing Security of Healthcare Data for a Modern Healthcare System

Almalawi

Khan

Alsolami

et al. 2023

Sensors

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“…Currently, the infectious disease COVID-19, caused by the new SARS-CoV-2 coronavirus was first detected in Wuhan, China. Since then, the virus has affected global society, including Peru, spreading at an accelerated rate, having a catastrophic effect worldwide [1], [2]. The international community and local governments were forced to implement restrictions and social distancing as measures to minimize the spread of this new coronavirus [3], [4]; as a consequence of these measures implemented, economic and social activity was affected causing an increase in anxiety, stress and depression in people around the world, as these are effects of emotional disorders that specially affect mental health [5].…”

Section: Introductionmentioning

confidence: 99%

Mobile App Prototype: Telemedicine for Mental Health Care During Pandemic

Jauregui-Velarde¹,

Peña²,

Bellido-García

et al. 2023

Int. J. Onl. Eng.

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Since the end of 2019, the contagious disease COVID-19, which originated in the city of Wuhan, China; It affected every country in the world. As a measure to prevent the spread of the virus, the Peruvian government ordered quarantine and social distancing; As a consequence, people's economy and social life were affected, increasing stress, depression and anxiety, which are emotional disorders that affect mental health. Added to this is the lack of access to mental health services. The objective is to develop a prototype mobile telemedicine application for mental health services, based on Android. The methodology that was applied was the Rational Unified Process (RUP) methodology, because this methodology allows documenting, ordering and structuring software development. The result obtained was a telemedicine mobile application prototype with a design and functionalities that facilitate the access of patients and specialists to provide mental health services. The evaluation of the quality of the prototype was carried out through the judgment of experts, who evaluated the efficiency, usability and security of the application. Obtaining after the calculation, 4.66 average or mean; which indicates, according to the established quality range, that the quality of the mobile prototype is high. In conclusion, it was possible to develop an efficient, easy-to-use and safe mobile telemedicine prototype; that provides the solution by facilitating patients' access to mental health services for their emotional, psychological and social well-being.

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The Use of COVID-19 Surveillance Measures in Detecting Cases of Tuberculosis (TB)

Sayed

Allam

Alruwaili

et al. 2023

Hygiene

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The global COVID-19 pandemic has caused countries to develop novel methods to detect and trace active cases. These methods aim to limit its spread; however, they can also be used to detect other endemic infectious diseases, such as tuberculosis (TB). The current methods used to detect COVID-19 cases, such as temperature-checking and tracing applications, led to the detection of these specific TB cases and their referral to the hospital. In this study, we present four cases of TB in which the patients come from different working backgrounds. We conclude that the current measures used for COVID-19 could also prove to be beneficial in the context of other infectious diseases, mainly TB.

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Internet of Things and Blockchain-Based Framework for Coronavirus (COVID-19) Disease

Cited by 3 publications

References 24 publications

Managing Security of Healthcare Data for a Modern Healthcare System

Managing Security of Healthcare Data for a Modern Healthcare System

Mobile App Prototype: Telemedicine for Mental Health Care During Pandemic

The Use of COVID-19 Surveillance Measures in Detecting Cases of Tuberculosis (TB)

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