Determinants of workplace safety towards SARS-Cov-2 and combating COVID-19 among non-healthcare workers in Hong Kong, Nanjing and Wuhan, China

Article Computer Science, Artificial Intelligence

A scalable framework for smart COVID surveillance in the workplace using Deep Neural Networks and cloud computing

Ajay Singh et al.

Summary: This paper proposes a smart office surveillance framework that utilizes deep neural networks, fog computing, and cloud computing to detect violations of COVID regulations. The framework is scalable, time-sensitive, and outperforms traditional cloud environments in detecting two major violations.

EXPERT SYSTEMS (2022)

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Article Nursing

Knowledge, attitude and practice of residents in the prevention and control of COVID-19: An online questionnaire survey

Kaihan Yang et al.

Summary: The study found that residents generally have a positive attitude towards the prevention and control of COVID-19, but there are still deviations or deficiencies in their understanding of certain important knowledge and the adoption of relevant preventive measures. Mass media is the primary approach for people to learn about COVID-19. Main difficulties or challenges faced include lack of protective equipment, concerns about risks, impact on daily life, and lack of knowledge and consensus.

JOURNAL OF ADVANCED NURSING (2021)

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Article Multidisciplinary Sciences

Awareness and perception of COVID-19 among the general population: A Middle Eastern survey

Ruba M. Jaber et al.

Summary: The study found differences in awareness and practices among the Jordanian and Iraqi populations during the early stages of the COVID-19 pandemic. The majority showed average or adequate awareness, relied on medical staff and social media for information, but there was also a portion of the population that failed to recognize droplet inhalation as a source of transmission.

PLOS ONE (2021)

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Article Medicine, General & Internal