The impact of Artificial Intelligence, Blockchain, Big Data and evolving technologies in Coronavirus Disease - 2019 (COVID-19) curtailment

Ahir, Shiva; Telavane, Dipali; Thomas, Riya

doi:10.1109/icosec49089.2020.9215294

Cited by 33 publications

(15 citation statements)

References 15 publications

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“…Regarding future research trends, the technologies underneath are suggested to enhance robotics research in the intra- and post-pandemic era: AI: AI is expected to be seen in almost every field from household applications to automated robot-assisted health services provided [ 136 ]. Robot applications are suggested to be combined with AI technology towards intelligence and flexibility in the complex working environment [ 106 , 137 ]. The AI algorithms will be an essential support for different areas like data analytics, image processing and decision-making.…”

Section: Discussion and Identification Of Future Research Trendsmentioning

confidence: 99%

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A literature survey of the robotic technologies during the COVID-19 pandemic

Wang

2021

Journal of Manufacturing Systems

195

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Since the late 2019, the COVID-19 pandemic has been spread all around the world. The pandemic is a critical challenge to the health and safety of the general public, the medical staff and the medical systems worldwide. It has been globally proposed to utilise robots during the pandemic, to improve the treatment of patients and leverage the load of the medical system. However, there is still a lack of detailed and systematic review of the robotic research for the pandemic, from the technologies’ perspective. Thus a thorough literature survey is conducted in this research and more than 280 publications have been reviewed, with the focus on robotics during the pandemic. The main contribution of this literature survey is to answer two research questions, i.e. 1) what the main research contributions are to combat the pandemic from the robotic technologies’ perspective, and 2) what the promising supporting technologies are needed during and after the pandemic to help and guide future robotics research. The current achievements of robotic technologies are reviewed and discussed in different categories, followed by the identification of the representative work’s technology readiness level. The future research trends and essential technologies are then highlighted, including artificial intelligence, 5 G, big data, wireless sensor network, and human-robot collaboration.

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Section: Discussion and Identification Of Future Research Trendsmentioning

confidence: 99%

“…Peanut robot was utilised for food delivery and medical supply in some cities in China ( Fig. 12 ) [ 106 ]. The robot is beneficial especially in the quarantined area or suspected of the virus.…”

Section: Robots In Covid-19mentioning

confidence: 99%

A literature survey of the robotic technologies during the COVID-19 pandemic

Wang

2021

Journal of Manufacturing Systems

195

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“…On the other hand, voice robots can assist people who do not use smartphones to complete personal information collection. They use voice recognition to convert the collected personal information into text, and then aggregate it into data [ 214 ]. In addition, the voice robot is also equipped with an intelligent analysis system to help doctors complete remote diagnosis of patients, reducing the possibility of cross-infection between medical staff and patients [ 215 , 216 ].…”

Section: Applications and Impacts Of Digital Technology In Fighting Cmentioning

confidence: 99%

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

Wang

Zhang

et al. 2021

IJERPH

151

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Integration of digital technologies and public health (or digital healthcare) helps us to fight the Coronavirus Disease 2019 (COVID-19) pandemic, which is the biggest public health crisis humanity has faced since the 1918 Influenza Pandemic. In order to better understand the digital healthcare, this work conducted a systematic and comprehensive review of digital healthcare, with the purpose of helping us combat the COVID-19 pandemic. This paper covers the background information and research overview of digital healthcare, summarizes its applications and challenges in the COVID-19 pandemic, and finally puts forward the prospects of digital healthcare. First, main concepts, key development processes, and common application scenarios of integrating digital technologies and digital healthcare were offered in the part of background information. Second, the bibliometric techniques were used to analyze the research output, geographic distribution, discipline distribution, collaboration network, and hot topics of digital healthcare before and after COVID-19 pandemic. We found that the COVID-19 pandemic has greatly accelerated research on the integration of digital technologies and healthcare. Third, application cases of China, EU and U.S using digital technologies to fight the COVID-19 pandemic were collected and analyzed. Among these digital technologies, big data, artificial intelligence, cloud computing, 5G are most effective weapons to combat the COVID-19 pandemic. Applications cases show that these technologies play an irreplaceable role in controlling the spread of the COVID-19. By comparing the application cases in these three regions, we contend that the key to China’s success in avoiding the second wave of COVID-19 pandemic is to integrate digital technologies and public health on a large scale without hesitation. Fourth, the application challenges of digital technologies in the public health field are summarized. These challenges mainly come from four aspects: data delays, data fragmentation, privacy security, and data security vulnerabilities. Finally, this study provides the future application prospects of digital healthcare. In addition, we also provide policy recommendations for other countries that use digital technology to combat COVID-19.

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“…For example, the spread of COVID-19 in the city of Wuhan in China raised concerns in other countries about the characteristics of the virus, its impact, as well as determining the countries affected by the epidemic and whether it has been visited by travelers to take preventive measures that limit the spread of infection. This challenge can be overcome by making use of Blockchain technology [ 75 ], which helps in large-scale sharing of information securely by anonymizing patients as well as the verified data.…”

Section: Findings Challenges and Future Directionsmentioning

confidence: 99%

Applications of Big Data Analytics to Control COVID-19 Pandemic

Alsunaidi

Almuhaideb

Ibrahim

et al. 2021

Sensors

100

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The COVID-19 epidemic has caused a large number of human losses and havoc in the economic, social, societal, and health systems around the world. Controlling such epidemic requires understanding its characteristics and behavior, which can be identified by collecting and analyzing the related big data. Big data analytics tools play a vital role in building knowledge required in making decisions and precautionary measures. However, due to the vast amount of data available on COVID-19 from various sources, there is a need to review the roles of big data analysis in controlling the spread of COVID-19, presenting the main challenges and directions of COVID-19 data analysis, as well as providing a framework on the related existing applications and studies to facilitate future research on COVID-19 analysis. Therefore, in this paper, we conduct a literature review to highlight the contributions of several studies in the domain of COVID-19-based big data analysis. The study presents as a taxonomy several applications used to manage and control the pandemic. Moreover, this study discusses several challenges encountered when analyzing COVID-19 data. The findings of this paper suggest valuable future directions to be considered for further research and applications.

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The impact of Artificial Intelligence, Blockchain, Big Data and evolving technologies in Coronavirus Disease - 2019 (COVID-19) curtailment

Cited by 33 publications

References 15 publications

A literature survey of the robotic technologies during the COVID-19 pandemic

A literature survey of the robotic technologies during the COVID-19 pandemic

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

Applications of Big Data Analytics to Control COVID-19 Pandemic

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