Smart campus—A sketch

Min‐Allah, Nasro; Alrashed, Saleh

doi:10.1016/j.scs.2020.102231

Cited by 102 publications

(133 citation statements)

References 26 publications

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“…It is noteworthy to mention that disinfection using truck-size white-fog-spraying machines may pose several chronic side-effects on humans and the environment. Promising studies suggest the application of technology for tracking infected individuals including Min-Allah and Alrashed (2020) who found the application of smart campus and internet of things to track infected persons.…”

Section: Summary Of Conclusionmentioning

confidence: 99%

Bidirectional association between COVID-19 and the environment: A systematic review

Rahimi

Fouladi-Fard

Aali

et al. 2021

Environmental Research

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Section: Summary Of Conclusionmentioning

confidence: 99%

Bidirectional association between COVID-19 and the environment: A systematic review

Rahimi

Fouladi-Fard

Aali

et al. 2021

Environmental Research

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“…Worse, today more than three-quarters of the world's population lives in high density urban areas which makes the citizen even more susceptible to pandemics [ 23 , 27 ]. Considering disease spreads, future infrastructure developments are expected to be smarter with the provision of detecting, reporting, and analyzing various disease symptoms to avoid any spread on premises [ 28 , 29 ].…”

Section: The Covid-19 Spread In Ksamentioning

confidence: 99%

Impact of lockdowns on the spread of COVID-19 in Saudi Arabia

Alrashed

Min‐Allah

Saxena

et al. 2020

Informatics in Medicine Unlocked

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Epidemiological models have been used extensively to predict disease spread in large populations. Among these models, Susceptible Infectious Exposed Recovered (SEIR) is considered to be a suitable model for COVID-19 spread predictions. However, SEIR in its classical form is unable to quantify the impact of lockdowns. In this work, we introduce a variable in the SEIR system of equations to study the impact of various degrees of social distancing on the spread of the disease. As a case study, we apply our modified SEIR model on the initial spread data available (till April 9, 2020) for the Kingdom of Saudi Arabia (KSA). Our analysis shows that with no lockdown around 2.1 million people might get infected during the peak of spread around 2 months from the date the lockdown was first enforced in KSA (March 25th). On the other hand, with the Kingdom's current strategy of partial lockdowns, the predicted number of infections can be lowered to 0.4 million by September 2020. We further demonstrate that with a stricter level of lockdowns, the COVID-19 curve can be effectively flattened in KSA.

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“…The evolution of the Smart Campus initiative has been traced to the last two decades [21]. Yet, a widely accepted definition for the Smart Campus concept is lacking despite its increasingly topical nature.…”

Section: Literature Review 21 Defining the Smart Campusmentioning

confidence: 99%

“…However, definitions belonging to the Smart City adoption category appreciate the similarities existing between cities and campuses, especially as it pertains to production and consumption patterns. The Smart City dimensions are applicable to the Smart Campus albeit at a smaller scale and as such, similar measures can be deployed in enabling their occurrence and sustenance in either context [21].…”

Section: Literature Review 21 Defining the Smart Campusmentioning

confidence: 99%

“…As part of the Smart Campus agenda, universities are transforming into Smart Communities imbued with Smart City attributes and vice versa [14,15,[19][20][21]. Universities in South Africa are not left out as a cursory look at their websites and associated marketing paraphernalia reveals their aspirations to leverage digital technologies in transforming their operations, pedagogy, and research.…”

Section: Introductionmentioning

confidence: 99%

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Facilitating Successful Smart Campus Transitions: A Systems Thinking-SWOT Analysis Approach

et al. 2021

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An identification of strengths, weakness, opportunities, and threats (SWOT) factors remains imperative for enabling a successful Smart Campus transition. The absence of a structured approach for analyzing the relationships between these SWOT factors and the influence thereof on Smart Campus transitions negate effective implementation. This study leverages a systems thinking approach to bridge this gap. Data were collected through a stakeholder workshop within a University of Technology case study and analyzed using qualitative content analysis (QCA). This resulted in the establishment of SWOT factors affecting Smart Campus transitions. Systems thinking was utilized to analyze the relationships between these SWOT factors resulting in a causal loop diagram (CLD) highlighting extant interrelationships. A panel of experts drawn from the United Kingdom, New Zealand, and South Africa validated the relationships between the SWOT factors as elucidated in the CLD. Subsequently, a Smart Campus transition framework predicated on the CLD archetypes was developed. The framework provided a holistic approach to understanding the interrelationships between various SWOT factors influencing Smart Campus transitions. This framework remains a valuable tool for facilitating optimal strategic planning and management approaches by policy makers, academics, and implementers within the global Higher Education Institution (HEI) landscape for managing successful Smart Campus transition at the South African University of Technology (SAUoT) and beyond.

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Smart campus—A sketch

Cited by 102 publications

References 26 publications

Bidirectional association between COVID-19 and the environment: A systematic review

Bidirectional association between COVID-19 and the environment: A systematic review

Impact of lockdowns on the spread of COVID-19 in Saudi Arabia

Facilitating Successful Smart Campus Transitions: A Systems Thinking-SWOT Analysis Approach

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