Data analytics and knowledge management approach for COVID-19 prediction and control

International Journal of Information Technology, Journal Year: 2022, Volume and Issue: 15(2), P. 937 - 954

Published: June 11, 2022

Language: Английский

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Ethics for integrating emerging technologies to contain COVID ‐19 in Zimbabwe

Human Behavior and Emerging Technologies, Journal Year: 2021, Volume and Issue: 3(5), P. 876 - 890

Published: Aug. 11, 2021

Zimbabwe is among the countries affected with coronavirus disease (COVID-19) and implemented several infection control measures such as social distancing, contact tracing, regular temperature checking in strategic entry exit points, face masking others. The country also recursive national lockdowns curfews to reduce virus transmission rate its catastrophic impact. These large-scale are not easy implement, adhere subsequently difficult practice maintain which lead imperfect public compliance, especially if there a significant impact on political norms, economy, psychological wellbeing of population. Also, emerging COVID-19 variants, porous borders, movement informal traders sale fake vaccination certificates continue threaten impressive progress made towards containment. Therefore, technologies have been adopted strengthen health system services delivery, improve adherence distancing. use data, symptoms monitoring, mobility, location proximity data for self-isolation, quarantine compliance. However, has debatable contentious because potential violation ethical values security privacy, format management, synchronization, over-tracking, over-surveillance lack proper development implementation guidelines their efficacy, adoption ultimately influence trust. study proposes framework using contain pandemic. centered practices security, justice, human dignity, autonomy, solidarity, beneficence, non-maleficence.

Language: Английский

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Data-Driven Analytics Leveraging Artificial Intelligence in the Era of COVID-19: An Insightful Review of Recent Developments

Symmetry, Journal Year: 2021, Volume and Issue: 14(1), P. 16 - 16

Published: Dec. 23, 2021

This paper presents the role of artificial intelligence (AI) and other latest technologies that were employed to fight recent pandemic (i.e., novel coronavirus disease-2019 (COVID-19)). These assisted early detection/diagnosis, trends analysis, intervention planning, healthcare burden forecasting, comorbidity mitigation control, name a few. The key-enablers these was data obtained from heterogeneous sources social networks (SN), internet (medical) things (IoT/IoMT), cellular networks, transport usage, epidemiological investigations, digital/sensing platforms). To this end, we provide an insightful overview data-driven analytics leveraging AI in era COVID-19. Specifically, discuss major services can context COVID-19 based on six grounds, (i) seven different epidemic containment strategies (a.k.a non-pharmaceutical interventions (NPIs)), (ii) life cycle phases control via digital solutions, (iii) performing types stemming pandemic, (iv) sector (v) general-purpose applications era, (vi) drug design repurposing (e.g., iteratively aligning protein spikes applying three/four-fold symmetry yield low-resolution candidate template) against Further, challenges involved available privacy issues arise personal transitioning into cyberspace. We also concise increasingly applied limit spread ongoing pandemic. Finally, avenues future research respective area. review aims highlight existing AI-based technological developments dynamics

Language: Английский

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Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients

IEEE Transactions on Technology and Society, Journal Year: 2022, Volume and Issue: 3(4), P. 272 - 289

Published: July 29, 2022

This article's main contributions are twofold: 1) to demonstrate how apply the general European Union's High-Level Expert Group's (EU HLEG) guidelines for trustworthy AI in practice domain of healthcare and 2) investigate research question what does "trustworthy AI" mean at time COVID-19 pandemic. To this end, we present results a post-hoc self-assessment evaluate trustworthiness an system predicting multiregional score conveying degree lung compromise patients, developed verified by interdisciplinary team with members from academia, public hospitals, industry The aims help radiologists estimate communicate severity damage patient's Chest X-rays. It has been experimentally deployed radiology department ASST Spedali Civili clinic Brescia, Italy, since December 2020 during pandemic time. methodology have applied our assessment, called Z-Inspection®, uses sociotechnical scenarios identify ethical, technical, domain-specific issues use context

Language: Английский

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A Systematic Review and IoMT Based Big Data Framework for COVID-19 Prevention and Detection

Electronics, Journal Year: 2022, Volume and Issue: 11(17), P. 2777 - 2777

Published: Sept. 3, 2022

The Internet of Medical Things (IoMT) is transforming modern healthcare systems by merging technological, economical, and social opportunities has recently gained traction in the domain. severely contagious respiratory syndrome coronavirus called COVID-19 emerged as a severe threat to public health. highly infectious virus that spread person-to-person contact. Therefore, minimizing physical interactions between patients medical workers necessary. significance technology its associated potential were fully explored proven during outbreak all domains human life. Healthcare employ modes facilitate increasing number patients. need for remote was reemphasized, many solutions adopted. Various IoMT-based proposed implemented support traditional with reaching maximum people remotely. objective this research twofold. First, systematic literature review (SLR) conducted critically evaluate 76 articles on IoMT different applications, especially other health sectors. Secondly, we briefly frameworks role technologies propose framework, named ‘cov-AID’, remotely monitors diagnoses disease. framework encompasses benefits sensors extensive data analysis prediction. Moreover, cov-AID also helps identify regions alerts not visit those locations prevent infection. promising dynamic patient monitoring, tracking, quick disease diagnosis, treatment, prevention from spreading others. We discuss challenges faced adopting applying big combat COVID-19.

Language: Английский

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