Integrating Digital Technologies and Public Health to Fight Covid-19 Pandemic: Key Technologies, Applications, Challenges and Outlook of Digital Healthcare

Wang, Qiang; Su, Min; Zhang, Min; Li, Rongrong

doi:10.3390/ijerph18116053

Cited by 134 publications

(100 citation statements)

References 221 publications

(217 reference statements)

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“…To secure software-defined networks (SDNs) [21] from threats and attacks, a system was proposed that utilizes the benefits of software-defined networks characteristics, along with data mining, to find any malicious activity in the data plane of SDN. Qiang et al [22] explained the role of digital technologies to control the coronavirus spread. Digital technologies, such as cloud computing, artificial intelligence, internet of things, wearable devices, blockchain technology, and 5G communication networks, have played an irreplaceable role with public health systems in controlling the second wave of COVID-19 in China.…”

Section: Related Workmentioning

confidence: 99%

Morton Filter-Based Security Mechanism for Healthcare System in Cloud Computing

Bhatia

Malhotra²

2021

Healthcare

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Electronic health records contain the patient’s sensitive information. If these data are acquired by a malicious user, it will not only cause the pilferage of the patient’s personal data but also affect the diagnosis and treatment. One of the most challenging tasks in cloud-based healthcare systems is to provide security and privacy to electronic health records. Various probabilistic data structures and watermarking techniques were used in the cloud-based healthcare systems to secure patient’s data. Most of the existing studies focus on cuckoo and bloom filters, without considering their throughputs. In this research, a novel cloud security mechanism is introduced, which supersedes the shortcomings of existing approaches. The proposed solution enhances security with methods such as fragile watermark, least significant bit replacement watermarking, class reliability factor, and Morton filters included in the formation of the security mechanism. A Morton filter is an approximate set membership data structure (ASMDS) that proves many improvements to other data structures, such as cuckoo, bloom, semi-sorting cuckoo, and rank and select quotient filters. The Morton filter improves security; it supports insertions, deletions, and lookups operations and improves their respective throughputs by 0.9× to 15.5×, 1.3× to 1.6×, and 1.3× to 2.5×, when compared to cuckoo filters. We used Hadoop version 0.20.3, and the platform was Red Hat Enterprise Linux 6; we executed five experiments, and the average of the results has been taken. The results of the simulation work show that our proposed security mechanism provides an effective solution for secure data storage in cloud-based healthcare systems, with a load factor of 0.9. Furthermore, to aid cloud security in healthcare systems, we presented the motivation, objectives, related works, major research gaps, and materials and methods; we, thus, presented and implemented a cloud security mechanism, in the form of an algorithm and a set of results and conclusions.

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Section: Related Workmentioning

confidence: 99%

Morton Filter-Based Security Mechanism for Healthcare System in Cloud Computing

Bhatia

Malhotra²

2021

Healthcare

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“…On the other hand, the influence of technology in life has been greatly increased during the period of the pandemic, and the technological applications have accelerated the innovation of education methods. In particular, augmented reality (AR) and artificial intelligence (AI) have been widely used in teaching, evaluation, and personal learning applications [ 7 ]. Many elderly people are forced to stay at home due to COVID-19, and they are facing problems of lack of social support and deterioration of their physical and mental health [ 8 ], and even increased family conflicts [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Promoting the Quality of Life of Elderly during the COVID-19 Pandemic

Lee

Hsu

2021

IJERPH

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This study explored the technology learning model of the elderly in a senior learning center under the impact of the COVID-19 pandemic. Many senior learning centers were closed during the pandemic, and many of them adopted the mode of online education. However, problems such as decreased motivation and a lack of peer interaction still exist. To solve these problems, this study used the easy-to-implement calligraphy AR approach and E-book approach to conduct a quasi-experiment on the elderly of a calligraphy course offered by a senior learning center. The results show a higher learning motivation among the elderly who use calligraphy AR. The learning effectiveness and technology acceptance of the elderly in the E-book learning group were higher than those in the calligraphy AR group. The elderly mentioned that the E-book learning approach is more user-friendly. In general, in the face of the COVID-19 pandemic affecting the suspension of classes in senior centers, education through the development of technology has stimulated the growth of education in advanced learning centers. Through this kind of scientific and technological learning method, it will bring a whole new experience to the elderly. It can improve the stress relief methods, mental health, and quality of life of the elderly during the COVID-19 emergency shutdown, and provide a novel calligraphy technique learning experience for the elderly. Therefore, we believe that the calligraphy AR learning approach and the calligraphy E-book learning approach are practical and may promote quality of life and mental health of the elderly during the emergency closures due to COVID-19, providing elderly attendees with a novel calligraphy technology learning experience.

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“…Although Western countries, such as Europe and the United States, did not adopt big data technology to track confirmed cases at the national level, Google, Apple, MIT and some European companies designed apps based on Bluetooth technology that can inform users when they contact confirmed patients [ 3 , 24 ]. Adopting big data technology to analyse social media to understand public sentiment and opinion in epidemic emergencies helps to improve direct communication between the government and the public, maximize public participation and public compliance, and improve the government’s response to public needs in an emergency [ 25 , 26 ]. Furthermore, big data technology, such as the Internet of Things, helps accurately allocate emergency resources to further improve responses to the COVID-19 epidemic [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

“…Finally, a situational awareness of the COVID-19 epidemic based on big data technology, combined with active traditional emergency management measures such as contact tracing, quarantine, treatment, lockdown and isolation, greatly improves the responsiveness and accuracy of epidemic emergency management [ 27 , 28 ]. In other words, a digital emergency response system that connects national government levels, government agencies, and governments in general to society plays a vital role in epidemic warning, monitoring, and evidence-based responsive decision-making [ 18 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

The application framework of big data technology in the COVID-19 epidemic emergency management in local government—a case study of Hainan Province, China

Zou

Yao

et al. 2021

BMC Public Health

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Background As COVID-19 continues to spread globally, traditional emergency management measures are facing many practical limitations. The application of big data analysis technology provides an opportunity for local governments to conduct the COVID-19 epidemic emergency management more scientifically. The present study, based on emergency management lifecycle theory, includes a comprehensive analysis of the application framework of China’s SARS epidemic emergency management lacked the support of big data technology in 2003. In contrast, this study first proposes a more agile and efficient application framework, supported by big data technology, for the COVID-19 epidemic emergency management and then analyses the differences between the two frameworks. Methods This study takes Hainan Province, China as its case study by using a file content analysis and semistructured interviews to systematically comprehend the strategy and mechanism of Hainan’s application of big data technology in its COVID-19 epidemic emergency management. Results Hainan Province adopted big data technology during the four stages, i.e., migration, preparedness, response, and recovery, of its COVID-19 epidemic emergency management. Hainan Province developed advanced big data management mechanisms and technologies for practical epidemic emergency management, thereby verifying the feasibility and value of the big data technology application framework we propose. Conclusions This study provides empirical evidence for certain aspects of the theory, mechanism, and technology for local governments in different countries and regions to apply, in a precise, agile, and evidence-based manner, big data technology in their formulations of comprehensive COVID-19 epidemic emergency management strategies.

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Integrating Digital Technologies and Public Health to Fight Covid-19 Pandemic: Key Technologies, Applications, Challenges and Outlook of Digital Healthcare

Cited by 134 publications

References 221 publications

Morton Filter-Based Security Mechanism for Healthcare System in Cloud Computing

Morton Filter-Based Security Mechanism for Healthcare System in Cloud Computing

Promoting the Quality of Life of Elderly during the COVID-19 Pandemic

The application framework of big data technology in the COVID-19 epidemic emergency management in local government—a case study of Hainan Province, China

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