Leveraging data science to combat COVID-19: A comprehensive review

S Latif, M Usman, S Manzoor, W Iqbal… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
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 …

Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review

JI Khan, J Khan, F Ali, F Ullah, J Bacha, S Lee - Ieee Access, 2022 - ieeexplore.ieee.org
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …

IFaaSBus: A security-and privacy-based lightweight framework for serverless computing using IoT and machine learning

M Golec, R Ozturac, Z Pooranian… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As data of COVID-19 patients is increasing, the new framework is required to secure the
data collected from various Internet of Things (IoT) devices and predict the trend of disease …

Survey of decentralized solutions with mobile devices for user location tracking, proximity detection, and contact tracing in the COVID-19 era

V Shubina, S Holcer, M Gould, ES Lohan - Data, 2020 - mdpi.com
Some of the recent developments in data science for worldwide disease control have
involved research of large-scale feasibility and usefulness of digital contact tracing, user …

A first look at privacy analysis of COVID-19 contact-tracing mobile applications

MA Azad, J Arshad, SMA Akmal, F Riaz… - IEEE internet of …, 2020 - ieeexplore.ieee.org
Today's smartphones are equipped with a large number of powerful value-added sensors
and features, such as a low-power Bluetooth sensor, powerful embedded sensors, such as …

A privacy and security analysis of early-deployed COVID-19 contact tracing Android apps

M Hatamian, S Wairimu, N Momen, L Fritsch - Empirical software …, 2021 - Springer
As this article is being drafted, the SARS-CoV-2/COVID-19 pandemic is causing harm and
disruption across the world. Many countries aimed at supporting their contact tracers with the …

User concerns & tradeoffs in technology-facilitated COVID-19 response

EM Redmiles - Digital Government: Research and Practice, 2020 - dl.acm.org
The COVID-19 pandemic spread across the world in late 2019 and early 2020. As the
pandemic spread, technologists joined forces with public health officials to develop apps to …

Bias in algorithms of AI systems developed for COVID-19: A scoping review

J Delgado, A de Manuel, I Parra, C Moyano… - Journal of bioethical …, 2022 - Springer
To analyze which ethically relevant biases have been identified by academic literature in
artificial intelligence (AI) algorithms developed either for patient risk prediction and triage, or …

Mining user reviews of COVID contact-tracing apps: An exploratory analysis of nine European apps

V Garousi, D Cutting, M Felderer - Journal of Systems and Software, 2022 - Elsevier
Context: More than 78 countries have developed COVID contact-tracing apps to limit the
spread of coronavirus. However, many experts and scientists cast doubt on the effectiveness …

Don't fish in troubled waters! characterizing coronavirus-themed cryptocurrency scams

P Xia, H Wang, X Luo, L Wu, Y Zhou… - … on Electronic Crime …, 2020 - ieeexplore.ieee.org
As COVID-19 has been spreading across the world since early 2020, a growing number of
malicious campaigns are capitalizing the topic of COVID-19. COVID-19 themed …