2020
DOI: 10.1109/tai.2020.3020521
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Leveraging Data Science to Combat COVID-19: A Comprehensive Review

Abstract: COVID-19, an infectious disease caused by the SARS-CoV-2 virus, was declared a pandemic by the World Health Organisation (WHO) in March 2020. By mid-August 2020, more than 21 million people have tested positive worldwide.Infections have been growing rapidly and tremendous efforts are being made to fight the disease. In this paper, we attempt to systematise the various COVID-19 research activities leveraging data science, where we define data science broadly to encompass the various methods and tools-including … Show more

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Cited by 175 publications
(91 citation statements)
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“…Alafif et al, (Alafif et al, 2021), surveyed AI applications in COVID-19 diagnosis. In (Latif et al, 2020), a review of DL techniques to combat COVID-19 was discussed in detail. Table 1 summarizes the existing literature that uses ML applications to tackle COVID-19.…”
Section: Related Workmentioning
confidence: 99%
“…Alafif et al, (Alafif et al, 2021), surveyed AI applications in COVID-19 diagnosis. In (Latif et al, 2020), a review of DL techniques to combat COVID-19 was discussed in detail. Table 1 summarizes the existing literature that uses ML applications to tackle COVID-19.…”
Section: Related Workmentioning
confidence: 99%
“…The scientific studies available in this area are scattered, and their numbers are overwhelming, making it hard for researchers to obtain a structured view of the state of the art. Fortunately, interesting reviews quickly took over this situation, providing a complete overview, updated to the first months of the pandemic, and even creating an interesting repository of papers on data science-based applications that can help in the COVID-19 pandemic [13].…”
Section: Introductionmentioning
confidence: 99%
“…Since the COVID-19 pandemic outbreak, tens of thousands of scientific papers have researched the associations with it, many of which use artificial intelligence and data science. For some authors, data science will be a crucial element in the global response to the pandemic [1]. According to Van der Aalst [2], data science is a cross-disciplinary field of transforming data into absolute values.…”
Section: Introductionmentioning
confidence: 99%
“…Today, data science applications tackle COVID-19 in three main phases: screening, tracking and forecasting, and medical aid [4]. In particular, the different use cases can be arranged in eight lines of application: assessing risk and prioritising patients; testing and diagnostics; simulating and modelling; contact tracing; comprehending social interventions; logistic planning and economic action; automated patient services; and supporting the development of vaccines and new therapies [1] As part of the data science's applications to support a pandemic response, prediction systems to improve the healthcare supply chain appear necessary. Furthermore, the changing and uncertain COVID-19 environment, and the need to maintain social distancing, are barriers to effective supply chain systems.…”
Section: Introductionmentioning
confidence: 99%