Applications of Artificial Intelligence in Combating Covid-19: A Systematic Review

Enughwure, Akpofure A.; Febaide, Isaac C.

doi:10.4236/oalib.1106628

Cited by 10 publications

(6 citation statements)

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“…Globally, researchers, scientists and technologists have been applying artificial intelligence techniques such as deep learning (DL) and machine learning models to screen suspected cases, identify and detect COVID-19, and diagnoses of patients [17] as well as vaccines development[8] and prediction of cases and mortality [18] . For instance, [19] , [20] , [21] , [22] , [23] , [24] conducted reviews on the application of artificial intelligence models for detecting, identification and modelling COVID-19 using chest computed tomography (CT) or X-ray images. Besides, applying artificial intelligence techniques to tack COVID-19 pandemic, several scholars including [ 8 , 10 , [25] , [26] , [27] ] conducted reviews of social distancing apps developed using various emerging digital technologies for enhancing stay-at-home guidelines, self-isolation and quarantine compliance, self-isolation adherence, symptoms monitoring, movement tracking, contact tracing activities as well as maintaining social and physical distancing.…”

Section: Covid-19 Situation Analysis and Social Distancing Tools In Zimbabwementioning

confidence: 99%

Framework for ethical and acceptable use of social distancing tools and smart devices during COVID-19 pandemic in Zimbabwe

Mbunge

Millham

Sibiya

et al. 2021

Sustainable Operations and Computers

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Despite the successful development of vaccines, coronavirus disease (COVID-19) continues to present unprecedented challenges. Besides the ongoing vaccination activities, many countries still rely on measures including social distancing, contact tracing, mandatory face masking among others. Several digital technologies such as smart devices, social distancing tools, smart applications have been adopted to enhance public adherence to reduce secondary transmission. Such technologies use health data, symptoms monitoring, mobility, location and proximity data for contact tracing, self-isolation and quarantine compliance. The use of digital technologies has been debatable and contentious because of the potential violation of ethical values such as security and privacy, data format and management, synchronization, over-tracking, over-surveillance and lack of proper development and implementation guidelines which subsequently impact their efficacy and adoption. Also, the aggressive and mandatory use of large-scale digital technologies is not easy to implement, adhere to and subsequently difficult to practice which ultimately lead to imperfect public compliance. To alleviate these impediments, we analysed the available literature and propose an ethical framework for the use of digital technologies centred on ethical practices. The proposed framework highlights the trade-offs, potential roles and coordination of different stakeholders involved in the development and implementation of digital technologies, from various social and political contexts in Zimbabwe. We suggest that transparency, regular engagement and participation of potential users are likely to boost public trust. However, the potential violation of ethical values, poor communication, hasty implementation of digital technologies will likely undermine public trust, and as such, risk their adoption and efficacy.

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Section: Covid-19 Situation Analysis and Social Distancing Tools In Zimbabwementioning

confidence: 99%

Framework for ethical and acceptable use of social distancing tools and smart devices during COVID-19 pandemic in Zimbabwe

Mbunge

Millham

Sibiya

et al. 2021

Sustainable Operations and Computers

View full text Add to dashboard Cite

show abstract

“…In this regard, data collection and usage have become the backbone of data-based analytical approaches, enabling new opportunities for ICT-mediated or ICT-enabled approaches (Cheshmehzangi, 2022) that were not commonly practiced before. In particular, applications of artificial intelligence (AI) (Enughwure, 2020), machine learning (Kushwaha et al, 2020), and the Internet of Things (IoT) (Singh et al, 2020;Yousif and Hewage, 2021) are boosted because of the COVID-19 pandemic, and such applications are data-based or data-driven. While we appraise such applications, technologies, and approaches, we have to be cautious about data collection and use boundaries to ensure the current situation does not lead to the eventual misuse of the individuals' data and information.…”

Section: An Overview Of Ict Applications During the Covid-pandemicmentioning

confidence: 99%

ICT applications and the COVID-19 pandemic: Impacts on the individual's digital data, digital privacy, and data protection

Cheshmehzangi

Su²,

Zou³

2023

Front. Hum. Dyn.

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A prominent move amid the COVID-19 pandemic is related to the wide use of ICT applications for various reasons. Such services are context-specific and sector-specific, but we see transformative directions leading to digital data collection, monitory, and management platforms. For now, these have been beneficial to evaluate trends and issues related to the pandemic. Some aggregated data could also help decision-making processes, which are helpful to contain such disruptive events. However, the main concern is the use of the individual's data and information, which means we may shift to micro-management and eventual controlling tools that could harm data protection processes. Undoubtedly, the use of ICTs during the COVID-19 pandemic has been primarily positive at multiple scales, but we have to evaluate the pros and cons before accepting all data collection processes. Such ICT-mediated platforms and/or applications must remain beneficial to all and avoid breaching the individual's data protection. This short communication paper first introduces ICT applications during the COVID-19 before providing an overview and further analysis of the situation of the ICT applications. Afterward, it discusses issues of data privacy, data collection, and data use, which are the backbone of ICT applications. The discussions highlight that future research in this area could look into associated issues related to digital privacy, data-driven approaches, and data protection regulations.

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“…They mentioned a flaw in the used data that has shortcomings and biases. The AUC of the proposed model decreased to 0.862 if this bias is eliminated [ 31 ].…”

Section: Related Workmentioning

confidence: 99%

NSGA-II as feature selection technique and AdaBoost classifier for COVID-19 prediction using patient’s symptoms

et al. 2021

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Nowadays, humanity is facing one of the most dangerous pandemics known as COVID-19. Due to its high inter-person contagiousness, COVID-19 is rapidly spreading across the world. Positive patients are often suffering from different symptoms that can vary from mild to severe including cough, fever, sore throat, and body aches. In more dire cases, infected patients can experience severe symptoms that can cause breathing difficulties which lead to stern organ failure and die. The medical corps all over the world are overloaded because of the exponentially myriad number of contagions. Therefore, screening for the disease becomes overwrought with the limited tools of test. Additionally, test results may take a long time to acquire, leaving behind a higher potential for the prevalence of the virus among other individuals by the patients. To reduce the

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Applications of Artificial Intelligence in Combating Covid-19: A Systematic Review

Cited by 10 publications

References 0 publications

Framework for ethical and acceptable use of social distancing tools and smart devices during COVID-19 pandemic in Zimbabwe

Framework for ethical and acceptable use of social distancing tools and smart devices during COVID-19 pandemic in Zimbabwe

ICT applications and the COVID-19 pandemic: Impacts on the individual's digital data, digital privacy, and data protection

NSGA-II as feature selection technique and AdaBoost classifier for COVID-19 prediction using patient’s symptoms

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