The Role of Digital Technologies that Could Be Applied for Prescreening in the Mining Industry During the COVID-19 Pandemic

Atif, Iqra; Cawood, Frederick; Mahboob, Muhammad Ahsan

doi:10.1007/s41403-020-00164-0

Cited by 18 publications

(20 citation statements)

References 23 publications

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“…Additionally, other functions linked to smart city processes (Table 2) could be mentioned, including (1) simulating safe and high-risk places based on locational tracking and big data (Liverpool and Singapore), (2) using AI to analyze different types of data [98], (3) detecting potentially infected individuals based on thermal camera scanning (Wuhan) [99], (4) promoting dashboards for information sharing (NYC and Dubai), and (5) tracking the mobility of infected people and physical distances to control the spread of the virus (New Castle and Istanbul), etc. [100]. However, the most important technology deployment has been seen in tracking and monitoring residents in public places such as TraceTogether and SafeEntery application in the case of Singapore that the former was voluntary and the latter compulsory [101].…”

Section: Physical and Mental Health Of Residents During Covid-19mentioning

confidence: 99%

Smart City and Crisis Management: Lessons for the COVID-19 Pandemic

Hassankhani

Alidadi

Sharifi

et al. 2021

IJERPH

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COVID-19 shocked cities around the world and revealed the vulnerability of urban lives and functions. Most cities experienced a catastrophic disturbance that has lasted for a long time. Planning plays a critical role in responding efficiently to this crisis and enabling rapid functional recovery in the post-disaster era. Cities that have implemented digitalization initiatives and programs are likely to have more capacity to react appropriately. Specifically, digitalized cities could ensure the well-being of their residents and maintain continuity of urban functions. This research aims to analyze the role of technology in crisis management in the last two decades and provide appropriate policy recommendations for dealing with the COVID-19 pandemic. Systematic literature review and subjective content analysis are employed to investigate the effects of technology on community well-being and making cities more resilient in past crises. This study shows that different technology-driven policies and actions enable crisis management, enhance community well-being, and increase urban resilience. Technology has enhanced coping and recovery capacities by increasing participation and social connectedness, enhancing physical and mental health and maintaining the functionality of education and economic systems. These have been achieved through various solutions and technologies such as social media, telehealth, tracking and monitoring systems, sensors and locational applications, teleworking systems, etc. These solutions and technologies have also been used during the COVID-19 pandemic to enhance community well-being and sustain urban functions. However, technology deployment might have adverse effects such as social exclusion, digital divide, privacy and confidentiality violation, political bias and misinformation dissemination, and inefficient remote working and education. It is suggested that to mitigate these side effects, policymakers should liberate the process of digitalization, increase the accessibility to digital services, and enhance digital literacy.

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Section: Physical and Mental Health Of Residents During Covid-19mentioning

confidence: 99%

Smart City and Crisis Management: Lessons for the COVID-19 Pandemic

Hassankhani

Alidadi

Sharifi

et al. 2021

IJERPH

View full text Add to dashboard Cite

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“…A smart face mask is personal protective equipment equipped with sensors that can monitor the body's temperature, heart rate, blood oxygen levels and respiratory rate by placing sensors near the wearer's earlobes, nose and mouth [57] . This smart device can send COVID-19 symptoms in real-time to healthcare professionals and regulatory authorities.…”

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

confidence: 99%

“…Smart face shield is also personal protective equipment that reduces the spread of COVID-19. A smart face shield is equipped with a body temperature sensor, humidity or moisture sensor, blood oxygen sensor, respiratory rate and heart rate sensor that frequently check the health status of the wearer [57] .…”

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

confidence: 99%

“…The smart helmet with a mounted thermal imaging system that can detect the COVID-19 symptoms automatically from the thermal image with less human interactions. It uses GPS to find the location of the person after detecting the high temperature, and a camera to capture the image of the person [57] . However, the device is susceptible to provide false temperature information.…”

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

confidence: 99%

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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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“…Since a novel coronavirus (nCoV) is a new strain of the coronavirus family that has not been seen before, the world faces serious challenges to control this outbreak [5,6]. During the fierce outbreaks, not only clinical specialists have been trying to invent novel treatments and vaccines, but also scientists in the field of data science and technology are trying to discover the infectious and help control it by applying information-based methods [7,8].…”

Section: Introductionmentioning

confidence: 99%

Using data mining techniques to fight and control epidemics: A scoping review

et al. 2021

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The main objective of this survey is to study the published articles to determine the most favorite data mining methods and gap of knowledge. Since the threat of pandemics has raised concerns for public health, data mining techniques were applied by researchers to reveal the hidden knowledge. Web of Science, Scopus, and PubMed databases were selected for systematic searches. Then, all of the retrieved articles were screened in the stepwise process according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist to select appropriate articles. All of the results were analyzed and summarized based on some classifications. Out of 335 citations were retrieved, 50 articles were determined as eligible articles through a scoping review. The review results showed that the most favorite DM belonged to Natural language processing (22%) and the most commonly proposed approach was revealing disease characteristics (22%). Regarding diseases, the most addressed disease was COVID-19. The studies show a predominance of applying supervised learning techniques (90%). Concerning healthcare scopes, we found that infectious disease (36%) to be the most frequent, closely followed by epidemiology discipline. The most common software used in the studies was SPSS (22%) and R (20%). The results revealed that some valuable researches conducted by employing the capabilities of knowledge discovery methods to understand the unknown dimensions of diseases in pandemics. But most researches will need in terms of treatment and disease control.

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The Role of Digital Technologies that Could Be Applied for Prescreening in the Mining Industry During the COVID-19 Pandemic

Cited by 18 publications

References 23 publications

Smart City and Crisis Management: Lessons for the COVID-19 Pandemic

Smart City and Crisis Management: Lessons for the COVID-19 Pandemic

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

Using data mining techniques to fight and control epidemics: A scoping review

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