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The Open Journal of Occupational Therapy ; 10(3):1-5, 2022.
Article in English | ProQuest Central | ID: covidwho-1964778

ABSTRACT

On March 11, 2020, the World Health Organization declared the outbreak of the coronavirus disease 2019 (COVID-19) as a global pandemic. Hospitals, nursing homes, and communities worldwide were flooded with patients diagnosed with COVID-19, resulting in the increased need for medical care and treatment by health care professionals, such as occupational therapists. This study analyzes output from a quantitative online survey design, which was created on SurveyMonkey and included 43 questions. Data from the survey were collected, categorized, and measured through the SurveyMonkey computer system and included information gathered from 204 occupational therapists from October 2020 to February 2020. Based on the survey results, occupational therapists believe that their profession has an ethical duty to provide skilled interventions to patients diagnosed with COVID-19. The majority of the occupational therapists were worried about their health and their family’s health as a result of COVID-19. In addition, many of the. therapists reported a close contact and subsequent positive test for COVID-19. Health care administrators and leaders should use the common perspectives among health care workers to guide them as they provide additional support and implement changes during the COVID-19 pandemic. Interventions that could be implemented by health care administrators include self-care training, psychological support, and safe opportunities to engage in meaningful activities.

2.
Work ; 67(3): 557-572, 2020.
Article in English | MEDLINE | ID: covidwho-916441

ABSTRACT

BACKGROUND: To combat COVID-19, curb the pandemic, and manage containment, governments around the world are turning to data collection and population monitoring for analysis and prediction. The massive data generated through the use of big data and artificial intelligence can play an important role in addressing this unprecedented global health and economic crisis. OBJECTIVES: The objective of this work is to develop an expert system that combines several solutions to combat COVID-19. The main solution is based on a new developed software called General Guide (GG) application. This expert system allows us to explore, monitor, forecast, and optimize the data collected in order to take an efficient decision to ensure the safety of citizens, forecast, and slow down the spread's rate of COVID-19. It will also facilitate countries' interventions and optimize resources. Moreover, other solutions can be integrated into this expert system, such as the automatic vehicle and passenger sanitizing system equipped with a thermal and smart High Definition (HD) cameras and multi-purpose drones which offer many services. All of these solutions will facilitate lifting COVID-19 restrictions and minimize the impact of this pandemic. METHODS: The methods used in this expert system will assist in designing and analyzing the model based on big data and artificial intelligence (machine learning). This can enhance countries' abilities and tools in monitoring, combating, and predicting the spread of COVID-19. RESULTS: The results obtained by this prediction process and the use of the above mentioned solutions will help monitor, predict, generate indicators, and make operational decisions to stop the spread of COVID-19. CONCLUSIONS: This developed expert system can assist in stopping the spread of COVID-19 globally and putting the world back to work.


Subject(s)
Artificial Intelligence , Big Data , Coronavirus Infections/epidemiology , Coronavirus Infections/prevention & control , Expert Systems , Pandemics/prevention & control , Pneumonia, Viral/epidemiology , Pneumonia, Viral/prevention & control , Return to Work , COVID-19 , Delivery of Health Care , Humans , Machine Learning , Occupational Health , United States , United States Occupational Safety and Health Administration , Work
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