Big Data and Data Analytics for an Enhanced COVID-19 Epidemic Management

Awotunde, Joseph Bamidele; Jimoh, Rasheed Gbenga; Oladipo, Idowu Dauda; AbdulRaheem, Muyideen; Jimoh, Taibat Bolanle; Ajamu, Gbemisola Janet

doi:10.1007/978-3-030-69744-0_2

Cited by 14 publications

(6 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The use of Data Science (DS), for instance, is useful to successfully synthesize heterogeneous data from diverse sources to support complex analyses and the extraction of new knowledge [42,43].…”

Section: Introductionmentioning

confidence: 99%

Sustainable Social Development through the Use of Artificial Intelligence and Data Science in Education during the COVID Emergency: A Systematic Review Using PRISMA

Aguilar-Esteva¹,

Acosta-Banda²,

Aguilera³

et al. 2023

Sustainability

View full text Add to dashboard Cite

In this paper, we aimed to investigate how sustainable development can be involved in educational contexts that use new trends in technology such as Artificial Intelligence (AI) and Data Science (DS). To achieve this goal, we conducted a documentary Systematic Review using PRISMA research to find and analyze applications of sustainable development in these aforementioned contexts. In the results, we explain how some applications of both AI and DS, including Big Data and Learning Analytics among others, offer alternatives to substantially improve the educational process by allowing either education to be personalized, learning to be predicted, or even possible school dropouts to be predicted. We found that the COVID emergency sped up the introduction of these technologies in educational environments. Nevertheless, the inclusion of new technologies to develop better processes in education is still in progress and will continue to grow. In conclusion, we identified and analyzed some of the main applications found in the literature regarding new computing technologies. AI and DS have introduced new learning and teaching methods to solve different context problems that promote sustainable development while making educational environments more dynamic. On the other hand, we observed that the divide in many countries will continue due to their economic and technological situations. We describe some of the challenges that the incorporation of these technologies will bring in the near future.

show abstract

Section: Introductionmentioning

confidence: 99%

Sustainable Social Development through the Use of Artificial Intelligence and Data Science in Education during the COVID Emergency: A Systematic Review Using PRISMA

Aguilar-Esteva¹,

Acosta-Banda²,

Aguilera³

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…It can increase productivity, create new jobs, and develop new products and services (Janssen et al, 2012;Magalhaes and Roseira, 2020). It can also provide enhanced policies and public services, such as prompt response to the COVID-19 pandemic (Awotunde et al, 2021) or protecting people safe from crime (Bulgakova et al, 2019). Therefore, the ability to use data well determines the competitiveness of individuals, firms, and countries (Magalhaes and Roseira, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…, 2012; Magalhaes and Roseira, 2020). It can also provide enhanced policies and public services, such as prompt response to the COVID-19 pandemic (Awotunde et al. , 2021) or protecting people safe from crime (Bulgakova et al.…”

Section: Introductionmentioning

confidence: 99%

Government data openness and knowledge management: configurational patterns for national competitiveness

Ham

Koo

Lee

2022

IMDS

View full text Add to dashboard Cite

PurposeIn the data economy era, despite the tremendous effort of governments to actively provide and use open data, its effect on national performance such as competitiveness differs widely from country to country. A sufficient knowledge base and its appropriate management are important to effectively derive the potential value from open data. A country can implement multiple and equally viable means to effectively align open data with knowledge management, which lead to high national performance. However, previous studies lack consideration of the possibility of these various configurations. To fill the research gap, this study aims to investigate the configurational patterns constituted by government data openness and knowledge management for national competitiveness.Design/methodology/approachFrom the open innovation perspective, this study collected data from the global reports of 76 countries and examined them through fuzzy-set qualitative comparative analysis (fsQCA).FindingsFour configurational patterns are identified, namely, coupled (outbound-focused)-, coupled (inbound-focused)-, inbound-focused-, and outbound-focused national competitiveness.Originality/valueThis study provides a foundation that enables researchers to build a holistic and balanced perspective that can manage open government data and develop knowledge management capability.

show abstract

“…Big Data technology has also been utilized to track contacts [38]. COVID-19 information on patients is contained inside Big Datasets [39]. A pandemic management multi-dimensional reference framework is meant to utilize massive data analytics regarding pandemics.…”

Section: Introductionmentioning

confidence: 99%

Big Data COVID-19 Systematic Literature Review: Pandemic Crisis

et al. 2021

View full text Add to dashboard Cite

The COVID-19 pandemic has frightened people worldwide, and coronavirus has become the most commonly used phrase in recent years. Therefore, there is a need for a systematic literature review (SLR) related to Big Data applications in the COVID-19 pandemic crisis. The objective is to highlight recent technological advancements. Many studies emphasize the area of the COVID-19 pandemic crisis. Our study categorizes the many applications used to manage and control the pandemic. There is a very limited SLR prospective of COVID-19 with Big Data. Our SLR study picked five databases: Science direct, IEEE Xplore, Springer, ACM, and MDPI. Before the screening, following the recommendation, Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) were reported for 893 studies from 2019, 2020 and until September 2021. After screening, 60 studies met the inclusion criteria through COVID-19 data statistics, and Big Data analysis was used as the search string. Our research’s findings successfully dealt with COVID-19 healthcare with risk diagnosis, estimation or prevention, decision making, and drug Big Data applications problems. We believe that this review study will motivate the research community to perform expandable and transparent research against the pandemic crisis of COVID-19.

show abstract

Big Data and Data Analytics for an Enhanced COVID-19 Epidemic Management

Cited by 14 publications

References 62 publications

Sustainable Social Development through the Use of Artificial Intelligence and Data Science in Education during the COVID Emergency: A Systematic Review Using PRISMA

Sustainable Social Development through the Use of Artificial Intelligence and Data Science in Education during the COVID Emergency: A Systematic Review Using PRISMA

Government data openness and knowledge management: configurational patterns for national competitiveness

Big Data COVID-19 Systematic Literature Review: Pandemic Crisis

Contact Info

Product

Resources

About