Application of Artificial Intelligence and Big Data for Fighting COVID-19 Pandemic

Awotunde, Joseph Bamidele; Folorunso, Sakinat Oluwabukonla; Chakraborty, Chinmay; Bhoi, Akash Kumar; Ajamu, Gbemisola Janet

doi:10.1007/978-3-030-87019-5_1

Cited by 18 publications

(8 citation statements)

References 90 publications

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“…The extensive use of big data technology in the economic field ensures the timeliness of data information and provides more comprehensive and effective data for industrial economic information analysis [ 4 ]. Enterprises are in the process of development of a large number of data every day, the traditional data statistical analysis methods have not been able to keep up with the rhythm of the development of the times, and in the face of a vast sea of data, only the use of advanced big data technology for data statistical analysis work can improve work efficiency, while ensuring the accuracy of statistical analysis and enhancing the quality of analysis work.…”

Section: Introductionmentioning

confidence: 99%

Big Data Technology in the Macrodecision-Making Model of Regional Industrial Economic Information Applied Research

Lin

2022

Computational Intelligence and Neuroscience

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In the era of Internet +, modern industry has developed rapidly, the network economy has promoted the great development of the industrial economy, and the traditional industrial economic statistics method has not been suitable for the development needs of modern enterprises. In today’s society, it can be described as the era of big data, the use of big data technology for industrial economic statistics is needed for the development of industrial modernization, and it is also a new requirement for industrial economic statistics put forward by social development. With the wide application of Internet of Things, cloud computing, mobile Internet, remote sensing, and geographic information technology in the economic field, precise economic policies have gradually developed and matured. Especially for different industries in the regional economy, according to the big data in the region, the big data mining technology and analysis technology can be used to obtain the development situation and future trend of the industrial economy in a timely and effective manner. Applying big data technology to macrodecision of regional economic information is an effective way to make macrodecision of current economy. Based on this background, this paper proposes a macroeconomic decision-making method for regional industries based on big data technology. Using data mining technology, time series data analysis methods combined with artificial intelligence analysis, the development trend of regional industries is obtained, and then the development trend of the industry is obtained. Development makes macroeconomic decisions. Taking agriculture as an example, the most popular analysis of the price trend of a certain agricultural product provides an effective reference for the development strategy of this agricultural product. The results show that the method proposed in this paper can effectively apply big data technology to the macrodecision-making of regional industrial economy. And it has better promotion significance.

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Section: Introductionmentioning

confidence: 99%

Big Data Technology in the Macrodecision-Making Model of Regional Industrial Economic Information Applied Research

Lin

2022

Computational Intelligence and Neuroscience

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“…The management of a highly variable amount of data in real time requires not only new tools and methods but also the development of new knowledge and skills that are essential for converting data into a strategic resource and for implementing new management practices or a new organizational culture across the entire organization. A lack of data analytics skills among existing employees may increase data entry errors that could result in placing information in the wrong record, losing valuable information, and limiting the value a business can derive from the data that it captures [ 129 ]. BD analysis is essential in defining the patient diagnosis.…”

Section: Resultsmentioning

confidence: 99%

Towards the Use of Big Data in Healthcare: A Literature Review

et al. 2022

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The interest in new and more advanced technological solutions is paving the way for the diffusion of innovative and revolutionary applications in healthcare organizations. The application of an artificial intelligence system to medical research has the potential to move toward highly advanced e-Health. This analysis aims to explore the main areas of application of big data in healthcare, as well as the restructuring of the technological infrastructure and the integration of traditional data analytical tools and techniques with an elaborate computational technology that is able to enhance and extract useful information for decision-making. We conducted a literature review using the Scopus database over the period 2010–2020. The article selection process involved five steps: the planning and identification of studies, the evaluation of articles, the extraction of results, the summary, and the dissemination of the audit results. We included 93 documents. Our results suggest that effective and patient-centered care cannot disregard the acquisition, management, and analysis of a huge volume and variety of health data. In this way, an immediate and more effective diagnosis could be possible while maximizing healthcare resources. Deriving the benefits associated with digitization and technological innovation, however, requires the restructuring of traditional operational and strategic processes, and the acquisition of new skills.

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“…One of the key applications of supercomputers in public health preparedness is simulating the spread of infectious diseases [74]. By using complex mathematical models and vast amounts of data, supercomputers can simulate how a disease might spread within a population under different conditions [59].…”

Section: Public Health Preparednessmentioning

confidence: 99%

<strong></strong>Supercomputers at the Forefront: From Crisis to Preparedness in Pandemic Response

Mustafa,

Makhawi

2023

Preprint

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The COVID-19 pandemic has unveiled the critical role that supercomputers play in addressing global health crises. This perspective article explores the transformative impact of supercomputing in pandemic response, highlighting how these powerful machines have transitioned from crisis management tools to essential components of preparedness strategies. In this article, we examine the key contributions of supercomputers in combating the pandemic, including their ability to accelerate scientific research, facilitate data analysis, model complex scenarios, and optimize resource allocation. Furthermore, we delve into the role of supercomputing in strengthening public health infrastructure and preparedness. We analyze the lessons learned from the pandemic and emphasize the need for proactive investment in supercomputing capabilities, data infrastructure, and computational expertise as a crucial element of pandemic preparedness efforts. By harnessing the potential of supercomputers, countries can establish robust computational frameworks that enable real-time monitoring, early detection, and effective response to future outbreaks. Moreover, we address the challenges faced by supercomputing initiatives, including the need for enhanced international collaboration, equitable access to computing resources, and the ethical considerations associated with data privacy and security. We discuss potential strategies to overcome these challenges and foster a global network of interconnected supercomputing centers dedicated to pandemic preparedness and response. Finally, we highlight ongoing research and development efforts aimed at advancing supercomputing technologies, such as exascale computing and quantum computing, and their potential to revolutionize pandemic response. We emphasize the importance of sustained investment in research and development to ensure that supercomputing remains at the forefront of future pandemic preparedness strategies.

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Application of Artificial Intelligence and Big Data for Fighting COVID-19 Pandemic

Cited by 18 publications

References 90 publications

Big Data Technology in the Macrodecision-Making Model of Regional Industrial Economic Information Applied Research

Big Data Technology in the Macrodecision-Making Model of Regional Industrial Economic Information Applied Research

Towards the Use of Big Data in Healthcare: A Literature Review

<strong></strong>Supercomputers at the Forefront: From Crisis to Preparedness in Pandemic Response

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