The role of ambient parameters on transmission rates of the COVID-19 outbreak: A machine learning model

Jamshidnezhad, Amir; Hosseini, Seyed Ahmad; Ghavamabadi, Leila Ibrahimi; Marashi, Seyed Mahdi; Mousavi, Hediye; Zilae, Marzieh; Dehaghi, Behzad Fouladi

doi:10.3233/wor-210463

Cited by 5 publications

(6 citation statements)

References 25 publications

(21 reference statements)

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“…This also supports why IU and AU were not significant. The reason why contact tracing applications are utilized is because of the advantages when it comes to health-related concerns [78,79]. The reason for mitigation upon utilizing the contact tracing application among Thais is for reduction of COVID-19 virus contraction, reduce exposure, and safety in general.…”

Section: Discussionmentioning

confidence: 99%

Utilization of Random Forest and Deep Learning Neural Network for Predicting Factors Affecting Perceived Usability of a COVID-19 Contact Tracing Mobile Application in Thailand “ThaiChana”

Ong

Chuenyindee

Prasetyo

et al. 2022

IJERPH

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The continuous rise of the COVID-19 Omicron cases despite the vaccination program available has been progressing worldwide. To mitigate the COVID-19 contraction, different contact tracing applications have been utilized such as Thai Chana from Thailand. This study aimed to predict factors affecting the perceived usability of Thai Chana by integrating the Protection Motivation Theory and Technology Acceptance Theory considering the System Usability Scale, utilizing deep learning neural network and random forest classifier. A total of 800 respondents were collected through convenience sampling to measure different factors such as understanding COVID-19, perceived severity, perceived vulnerability, perceived ease of use, perceived usefulness, attitude towards using, intention to use, actual system use, and perceived usability. In total, 97.32% of the deep learning neural network showed that understanding COVID-19 presented the most significant factor affecting perceived usability. In addition, random forest classifier produced a 92% accuracy with a 0.00 standard deviation indicating that understanding COVID-19 and perceived vulnerability led to a very high perceived usability while perceived severity and perceived ease of use also led to a high perceived usability. The findings of this study could be considered by the government to promote the usage of contact tracing applications even in other countries. Finally, deep learning neural network and random forest classifier as machine learning algorithms may be utilized for predicting factors affecting human behavior in technology or system acceptance worldwide.

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Section: Discussionmentioning

confidence: 99%

Utilization of Random Forest and Deep Learning Neural Network for Predicting Factors Affecting Perceived Usability of a COVID-19 Contact Tracing Mobile Application in Thailand “ThaiChana”

Ong

Chuenyindee

Prasetyo

et al. 2022

IJERPH

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“…The World Health Organization has announced the outbreak of the new coronavirus, declaring it a public health emergency and an international concern. The new coronavirus was formally named COVID-19 on February 11, 2020, by the WHO (1). The pandemic has not only been a dangerous threat to people's health but can also severely affect individuals' mental health and well-being (2).…”

Section: Introductionmentioning

confidence: 99%

Stress and Anxiety Among Bank Staffs Facing COVID-19 Outbreak: A Cross-sectional Study

Shabab

Dehaghi

2023

Jundishapur J Health Sci

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Background: The prevalence of coronavirus has become one of the most important challenges and concerns, and awareness of the mental health status of people in the workplace has become an important issue. Bank staff, like other workers, maybe under severe physical and psychological stress. Objectives: The study aimed to investigate the degree of anxiety among bank staff during the COVID-19 pandemic Methods: The present cross-sectional study was conducted among the bank staff by participating 199 employees. The corona disease anxiety scale (CDAS) questionnaire was used to gather data. For analyzing data, the t-test and chi-square test was applied. Results: 160 males (80.4%) and 39 females (19.6%) participated in the study. 55.6% of the participants reported that when they think about COVID-19, it leads to anxiety, and 38.3% said that they feel sad when they think about the danger of corona often. The results showed that an underlying disease increases the chance of being infected with COVID-19 (OR = 3.786, 95% CI: 1.227 - 8.708 and P = 0.018). Also, the results revealed a significant relationship between increasing physical symptoms and psychological symptoms in participants and the probability of being infected with COVID-19. Conclusions: The results showed that stress and anxiety among bank employees increased during the COVID-19 pandemic. Therefore, making the necessary arrangements to reduce stress and anxiety among employees through proper politicization and more managers' attention to this phenomenon in this period is essential.

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Section: Introductionmentioning

confidence: 99%

“…The Covid-19 pandemic with the new SARS-CoV-2 coronavirus was observed in late 2019 in the city of Wuhan-China, and the world health organization announced a pandemic in the world ( 1 ). The reported symptoms of Covid-19 include respiratory symptoms with acute respiratory distress syndrome, which ultimately leads to patient death in the most severe cases ( 1 ). In some previous studies in the field of SARS or Ebola epidemic diseases, the occurrence of a sudden and life-threatening disease can put a lot of pressure on public service employees such as medical staff ( 2 ).…”

Section: Introductionmentioning

confidence: 99%

Compliance with health protocols in the banking sector facing Covid-19

Ghavamabadi,

Shabab,

Dehaghi

et al. 2023

Front. Public Health

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BackgroundThe spread of the coronavirus has become one of the current challenges in the world. Implementing health protocols in the workplace along with informing people who face them, has become a vital issue.ObjectiveThe purpose of this study was to determine the level of compliance with health protocols and measure the level of awareness, attitude and performance of bank employees while facing Covid-19.Materials and methodsThe data collection tool included a checklist and two questionnaires (demographic information and the other on the awareness, attitude and performance of bank staff) regarding the coronavirus.ResultsA total of 199 bank employees from 25 bank branches participated in the study. The results showed that in 24% of the bank branches, the staff did not use face masks. And 100% of the studied bank branches lacked proper ventilation. The mean awareness scores of female employees (94.3) were significantly higher than those of male employees (87.7). Also, the performance of female employees (93.2) was significantly better than male employees (87.2).ConclusionThe results showed that to achieve proper performance in controlling and reducing the covid-19 disease among bank employees and other workers, these items are noteworthy: (1) Providing and training the correct use of protective equipment including face masks. (2) Monitoring for strict implementation of health protocols. Therefore, it is necessary to keep training and information up-to-date due to the new phenomena of this disease.

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The role of ambient parameters on transmission rates of the COVID-19 outbreak: A machine learning model

Cited by 5 publications

References 25 publications

Utilization of Random Forest and Deep Learning Neural Network for Predicting Factors Affecting Perceived Usability of a COVID-19 Contact Tracing Mobile Application in Thailand “ThaiChana”

Utilization of Random Forest and Deep Learning Neural Network for Predicting Factors Affecting Perceived Usability of a COVID-19 Contact Tracing Mobile Application in Thailand “ThaiChana”

Stress and Anxiety Among Bank Staffs Facing COVID-19 Outbreak: A Cross-sectional Study

Compliance with health protocols in the banking sector facing Covid-19

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