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Showing 2 results for Sars-Cov-2.
Ahmad Rastgarian, Navid Kalani, Fatemeh Golestan, Mehrdad Estakhr, Zahra Ghotbi, Naser Hatami, Maryam Jalali,
Volume 3, Issue 4 (9-2021)
Abstract
Background and Aim: COVID-19 pandemic can be considered an effective factor in increasing physical and psychological manifestations, especially anxiety in patients with multiple sclerosis (MS). Therefore, the aim of this study was to determine the level of anxiety in patients with MS during the COVID-19 pandemic.
Methods: This cross-sectional study was performed in Jahrom city in 2020 during the second wave of coronavirus in Iran. 191 patients with definite MS (multiple sclerosis) were included in the study by the census. Data collection tools included the demographic data questionnaire and Corona Disease Anxiety Scale.
Results: The mean overall score of anxiety in patients with MS during the COVID-19 pandemic in Jahrom was 8 out of 54. The mean score in the dimension of psychological symptoms was 6.4 and in the dimension of physical symptoms was 1.7 out of 27. These scores indicate that the level of anxiety in patients with MS is low.
Conclusion: Patients with MS in Jahrom city are in a good condition in terms of anxiety about COVID-19 disease; which can be a good indication of the low impact of pandemic conditions on the symptoms of patients with MS.
Mehdi Pooladi, Maliheh Entezari, Ghazal Soleymani, Farnaz Ghaemi, Mehdi Raei, Mahshad Kalantari,
Volume 3, Issue 4 (9-2021)
Abstract
In late 2019, people around the world became involved with the outbreak of the emerging COVID-19 and its subsequent pandemic. For this reason, researchers in various fields are looking to solve problems related to crisis control and management. The strong transmission power of the SARS-CoV-2 has led experts to use artificial intelligence to combat the pandemic. Artificial intelligence refers to software that, in addition to analyzing data, can have decision-making power, in fact, it is an imitation of expert human intelligence. This study investigates the use of artificial intelligence during the COVID-19 pandemic. Advantages of using artificial intelligence in COVID-19 are presented in the areas of rapid detection and treatment, assistance with rapid diagnosis, monitoring of treatment stages, epidemiology and tracking of infected areas, pandemic status prediction, drug system management, reducing the workload of medical personnel, predicting and monitoring of COVID-19 outbreaks, follow-up of patients, vaccine planning and design. Also, high potential for the application of artificial intelligence in clinical and research laboratories has been estimated. Another potential use of artificial intelligence is to predict mutations that may occur in coronaviruses in the future and cause new symptoms and complications of the disease.
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