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1.
Journal of Qualitative Research in Health Science ; 11(3):189-195, 2022.
Article in English | Scopus | ID: covidwho-2272304

ABSTRACT

Background: Nurses who care for patients with coronavirus disease 2019 (COVID-19) face challenges in providing care for these patients. This study aimed to explain the nurses' perception of challenges in caring for patients with COVID-19. Methods: This study was carried out using the content analysis method in 2020. In this study, 28 nurses were selected via purposive sampling. Individual and semi-structured interviews were conducted to collect the data. Data collection continued until data saturation. Content analysis was used to categorize the data and the method proposed by Elo and Kyngäs was also applied to analyze the data. Results: Nurses' challenges were classified into three categories including organizational problems, defective communication process, and psychosocial challenges. The first category was divided into two subcategories including shortage of nurses and lack of personal protective equipment. The second category included two subcategories of defective communication with colleagues and defective communication with the patients and their families. Moreover, the third category was classified into two subcategories including psychological distress and sociocultural challenges. Conclusion: To address the challenges of nurses in caring for patients with COVID-19, the shortage of nurses should be eliminated. Nurses need to participate in comprehensive communication skills training courses. Furthermore, it is necessary to develop educational programs and present them to the public based on the cultural context of the society. © 2022 The Author(s);.

2.
29th Iranian Conference on Electrical Engineering (ICEE) ; : 731-735, 2021.
Article in English | Web of Science | ID: covidwho-1853442

ABSTRACT

In this work, an Adaptive-Network-based Fuzzy Inference System (ANFIS) control is designed and optimized with the Genetic Algorithm (GA) to control the COVID-19 described by the SEIAR (Susceptible - Exposed - Infected - Asymptomatic - Recovered) epidemic model. This work aims to reduce the number of infected and susceptible people by isolation and vaccination, respectively. In this regard, the ANFIS-based controller is designed. The GA is employed to generate an optimal data set by minimizing the appropriate objective function to train the ANFIS algorithm. The obtained results are evaluated via simulation in MATLAB (R) software to show the capability of the controller in overcoming the outbreak.

3.
29th Iranian Conference on Electrical Engineering (ICEE) ; : 726-730, 2021.
Article in English | Web of Science | ID: covidwho-1853440

ABSTRACT

In this paper, a new switched SEIAR-Vac-Iso (Susceptible, Exposed, Infected, Asymptomatic, Recovered, Vaccinated, Isolated) epidemic model is introduced and investigated with application to COVID-19 for the first time. Two theorems concerning the positivity and boundedness of the solutions are proved. Then, the basic reproduction number (R-0) and the equilibrium points of the new model are calculated. The stability of the switched system is also investigated by developing a Lyapunov function and using the switching invariance principle, then the stability conditions of the systems are obtained. Numerical simulations are presented to verify the accuracy of theoretical results.

4.
6th International Multi-Topic ICT Conference, IMTIC 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1794833

ABSTRACT

The World Health Organization has designated COVID-19 a pandemic because its emergence has influenced more than 50 million world's population. Around 14 million deaths have been reported worldwide from COVID-19. In this research work, we have presented a method for autonomous screening of COVID-19 and Pneumonia subjects from cough auscultation analysis. Deep learning-based model (MobileNet v2) is used to analyze a 6757 self-collected cough dataset. The experimentation has demonstrated the efficiency of the proposed technique in distinguishing between COVID-19 and Pneumonia. The results have demonstrated the cumulative accuracy of 99.98%, learning rate of 0.0005 and validation loss of 0.0028. Furthermore, cough analysis can be performed for other patients screening of other pulmonary abnormalities. © 2021 IEEE.

5.
Archives of Clinical Infectious Diseases ; 16(3):6, 2021.
Article in English | Web of Science | ID: covidwho-1689857

ABSTRACT

Background: Recent studies have shown that insufficient vitamin D supply is correlated with increase in COVID-19 cases and its mortality. Potentially, it may play an important role in controlling virus proliferation. Objectives: This study aimed to evaluate the association between serum vitamin D levels and clinical findings, and mortality rate in patients with COVID-19. Methods: This cross-sectional study was conducted on 200 COVID-19 patients referred or admitted to Loghman-e-Hakim Hospital of Tehran, Iran, from February to June 2020. After patient selection, demographic information of all patients was recorded. Eventually, the relationship between basic demographic and clinical findings with vitamin D levels in all patients was evaluated. Results: The mean Vit-D levels in intubated and non-intubated patients were 22.95 +/- 22.23 ng/mL and 21.64 +/- 29.2 0 ng/mL, respectively(P = 0.018). In most of the outpatients (46.7%), Vit-D levels were between 21 - 30 ng/mL, and 47.6% of admitted patients had Vit-D <= 20 ng/mL. The mean Vit-D level in survived patients was significantly higher than patients who died (28.2 +/- 21.18 ng/mL vs. 19.91 +/- 14.18 ng/mL, respectively;P = 0.021). While 34.2% (55 cases) of survived patients had Vit-D level >= 31 ng/mL, about 70% of death cases had Vit-D <= 20 ng/mL (P < 0.001). Conclusions: According to our results, vitamin D supplementation could be beneficial in COVID-19 patients. However, further comprehensive clinical trials are needed to confirm these findings.

6.
Studies in Systems, Decision and Control ; 366:479-519, 2022.
Article in English | Scopus | ID: covidwho-1516825

ABSTRACT

According to the great importance and effectiveness of quarantine in the COVID-19 epidemic, this chapter presents a SEIAR-type model considering quarantined individuals (Q), called SQEIAR model. The main factor that has played a major role in the outbreak of COVID-19 around the world is traveling and immigration of people, which add to the population size impulsively. Therefore, an impulsive epidemic model of SQEIAR is considered to deal with the potential sudden increase in population caused by immigration or travel. Optimal control theory is presented to control and reduce the rate of disease spread in society within an optimal time. Optimal control is used to minimize an objective (cost) function over a free terminal time. Also, quarantine and antiviral treatment are used as control inputs. In the following, numerical simulations are given to prove the accuracy of the theoretical claims and applied to this infection's particular data. Moreover, numerical computations of the COVID-19 are compared with diseases like Ebola and Influenza. In addition, the controller is evaluated with system parameters identified by using actual data of China. Finally, the controller tuned with the estimated parameters of the Chinese data is applied to Spain's actual data to compare the quarantine and treatment policies in both countries. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

7.
Journal of Pediatric and Neonatal Individualized Medicine ; 10(1):1-5, 2021.
Article in English | Scopus | ID: covidwho-1134456

ABSTRACT

Kawasaki Disease (KD) is an acute and restrictive vasculitis. Studies have noted a viral association with the occurrence of this syndrome. This article reports a child with several severe inflammatory syndrome symptoms associated with COVID-19 and KD. The patient, a three-year-old Iranian Kurdish girl without a history of internal diseases and with no history of drug and food allergies, was referred to Imam Hasan hospital three days after diarrhea, nausea, and pain in the inner part of the left thigh. Scattered rashes around the face, neck, and arms during fever were significant. Reverse transcription polymerase chain reaction (RT-PCR) was positive for COVID-19, but the lung high-resolution computed tomography (HRCT) did not show involvement, so the diagnosis of KD associated with viral infection was suggested. In further studies, Wright and 2ME tests, Widal, and purified protein derivative (PPD) tests were declared negative. After intravenous immunoglobulin (IVIG), the patient's fever continued, but other symptoms improved. Since COVID-19 is a new disease and our understanding of its numerous symptoms is evolving, we recommend physicians to be vigilant about secondary inflammatory syndromes that induce KD;rapid treatment with IVIG and steroids may improve patients' conditions. © 2021. All Rights Reserved.

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