ABSTRACT
Introduction During the current lockdown due to the coronavirus disease 2019 (COVID-19) pandemic, the healthcare system should be modified to reach out to a large number of patients with effective service. Virtual clinics are one possible solution to the challenges healthcare systems face worldwide during the COVID-19 pandemic. Aim To evaluate the experience of the virtual clinic in Dermatology Department at King Khaled University Hospital and to evaluate its advantages and disadvantages, and whether or not this service is practical to apply in the future. Patients and methods To assess the patients' attitude toward virtual clinics, 1220 patients were offered a phone consultation during May 2020. A questionnaire was drafted with 23 questions sent to all the patients via cellular text. Seven of these questions were related to patient demographics. The remaining questions assessed patient satisfaction, occupational efficiency, and quality of care. Statistical analysis was performed using R v 3.6.3. Sociodemographic characteristics were included as independent variables. Ordinal logistic regression was used to assess patient satisfaction. Multivariate logistic regression was used to assess factors associated with satisfaction. Results Only 115 patients responded to the survey. About 34.8% of them found virtual clinics more comfortable compared with face-to-face visits, and 65.2% were satisfied with the care received through these clinics. However, 34.8% of the patients could not know the appropriate treatment, and 37.4% thought they did not receive all the needed information about their health condition. Overall, 71.3% of the patients were satisfied with the provided diagnosis. The most common reason for nonsatisfaction with virtual clinics was the lack of clinical examination (62.39%) and difficulty communicating with the physician (42.94%). Conclusion Virtual dermatology clinics can provide satisfactory dermatology care services to the patients during COVID-19 and can reduce the risk of exposure and transmission of the virus. These services have optimal occupational efficiency, patient-satisfaction rate, and quality of care.
ABSTRACT
Coronavirus disease has a wide range of symptoms, from asymptomatic infection to critical illness, which may even lead to death. Fatigue is the most prevalent symptom in COVID patients during and after the acute phase of the disease. Fatigue in COVID patients still with unknown etiology. This crosssectional study used data from KSMC hospital records and direct interviews with patients affected by chronic fatigue following confirmed COVID. Data were analyzed using SPSS V24 and multiple regression analysis. Pearson correlation, chi square test were used in the analysis process. Our results found that vaccination status is strongly affecting chalder fatigue scale;also age, comorbidities and COVID severity affect the scale. Comorbidity was found to be high in older participants;also higher comorbidities associated with increased disease severity.
ABSTRACT
The advancement in numerical models of serious resistant illnesses is a key research territory in different fields including the nature and the study of disease transmission. One of the aims of these models is to comprehend the elements of conduction of these infections. For the new strain of Covid-19 (Coronavirus), there has been no immunization to protect individuals from the virus and to forestall its spread so far. All things being equal, control procedures related to medical services, for example, social distancing or separation, isolation, and travel limitations can be adjusted to control this pandemic. This article reveals some insights into the dynamic practices of nonlinear Coronavirus models dependent on the homotopy annoyance strategy (HPM). We summon a novel sign stream chart that is utilized to depict the Coronavirus model. Through the numerical investigations, it is uncovered that social separation of the possibly tainted people who might be conveying the infection and the healthy virus-free people can diminish or interrupt the spread of the infection. The mathematical simulation results are highly concurrent with the statistical forecasts. The free balance and dependability focus for the Coronavirus model is discussed and the presence of a consistently steady arrangement is demonstrated. © 2022 CRL Publishing. All rights reserved.
ABSTRACT
Introduction: Coronavirus 2019 (COVID-19) pandemic imposed a huge strain on the healthcare system. The role of physical distancing as one of the precautions to limit the viral transmission ultimately led to many restrictions on the dermatology department’s workflow with a ripple effect on training and medical education. In this study, we aim to measure the impact of the COVID-19 pandemic on dermatology trainees using an online questionnaire. We believe that the result of this research will help to better understand the impact of the COVID-19 pandemic on medical training and the trainees’well-being. Materials and Methods: This is a cross-sectional study carried out between July and November 2020. The target population of our study included all dermatology residents under the training of The Saudi Board of Dermatology in Riyadh, Saudi Arabia. The questionnaire was formed through Google Forms which included 37 questions in English, arranged in four sections. These sections include: the basic demographic characteristics, the impact of the COVID-19 pandemic on residents’ training, the effect of the transformation into a virtual learning environment, and afinally, the residents’ well-being during the COVID-19 pandemic. Results: A total of 31 responses were collected from dermatology residents in Riyadh, Saudi Arabia. Of all the residents, more than half (56.7%) indicated that the COVID-19 pandemic had a negative impact on their residency training and progress. All the resident respondents reported that their programs had converted to using remote platforms to continue educational activities during the pandemic. A large number of dermatology residents (40%) enrolled in the study were found to be suffering from severe anxiety. Conclusion: In conclusion, COVID-19 pandemic has had a negative impact on the training of dermatology residents. Mostly, as a result of the very limited exposure of one-on-one patient contact, many clinical hours of training have been lost. Therefore, measures and real solutions should be taken to overcome this loss of clinical training hours experienced by dermatology residents. © 2022 Journal of Nature and Science of Medicine ;Published by Wolters Kluwer-Medknow.
ABSTRACT
The development of mathematical modeling of infectious diseases is a key research area in various fields including ecology and epidemiology. One aim of these models is to understand the dynamics of behavior in infectious diseases. For the new strain of coronavirus (COVID-19), there is no vaccine to protect people and to prevent its spread so far. Instead, control strategies associated with health care, such as social distancing, quarantine, travel restrictions, can be adopted to control the pandemic of COVID-19. This article sheds light on the dynamical behaviors of nonlinear COVID-19 models based on two methods: the homotopy perturbation method (HPM) and the modified reduced differential transform method (MRDTM). We invoke a novel signal flow graph that is used to describe the COVID-19 model. Through our mathematical studies, it is revealed that social distancing between potentially infected individuals who are carrying the virus and healthy individuals can decrease or interrupt the spread of the virus. The numerical simulation results are in reasonable agreement with the study predictions. The free equilibrium and stability point for the COVID-19 model are investigated. Also, the existence of a uniformly stable solution is proved. © 2021 Tech Science Press. All rights reserved.