COVID-19 comes from a large family of viruses identi ed in 1965; to date, seven groups have been recorded which have been found to affect humans. In the healthcare industry, there is much evidence that Al or machine learning algorithms can provide effective models that solve problems in order to predict con rmed cases, recovered cases, and deaths. Many researchers and scientists in the eld of machine learning are also involved in solving this dilemma, seeking to understand the patterns and characteristics of virus attacks, so scientists may make the right decisions and take speci c actions. Furthermore, many models have been considered to predict the Coronavirus outbreak, such as the retro prediction model, pandemic Kaplan's model, and the neural forecasting model. Other research has used the time series-dependent face book prophet model for COVID-19 prediction in India's various countries. Thus, we proposed a prediction and analysis model to predict COVID-19 in Saudi Arabia. The time series dependent face book prophet model is used to t the data and provide future predictions. This study aimed to determine the pandemic prediction of COVID-19 in Saudi Arabia, using the Time Series Analysis to observe and predict the coronavirus pandemic's spread daily or weekly. We found that the proposed model has a low ability to forecast the recovered cases of the COVID-19 dataset. In contrast, the proposed model of death cases has a high ability to forecast the COVID-19 dataset. Finally, obtaining more data could empower the model for further validation.
Background: The future career choices of medical students are influenced by the medical school curriculum and exposure they receive in the schools. A thorough understanding of the students’ knowledge and perception about a specialty like plastic surgery is essential for assessing the scope and career choices. This study evaluates the medical students’ knowledge and perception of plastic surgery in the western region of Saudi Arabia. Methods: This is a cross-sectional online survey study that was conducted using a pre-tested questionnaire which was distributed between senior medical students. The questionnaire recorded participants’ sociodemographic details, their knowledge about the specialty of plastic surgery, and their perception of the specialty. The data collected were subjected to Statistical analysis using SPSS Ver.23 and a p-value of < 0.05 was deemed significant. Results: The majority of the students (78.3%) reported poor knowledge regarding plastic surgery while 11% of the respondents had previously taken a clinical rotation in plastic surgery department. Female medical students had comparatively demonstrated better knowledge than male students regarding the specialty (p<0.034). It was reported by 43.2% of students that plastic surgery is the same as other specialties, whereas 53.2% believed that this specialty is an essential one. Only 34.1% of the students were interested in pursuing plastic surgery as a specialty after graduation. Conclusion: The study finding highlights that the knowledge about plastic surgery is not satisfactory among medical students. There is a need to improve knowledge about this specialty. The medical curriculum should fill the voids and give more considerations for this specialty when training undergraduate medical students, which would positively influence their career choices.
<span> With the tremendous technological progress and the widespread use of a variety of technologies, we note how smart cities are providing services efficiently by using technologies. The aim of this project is to build a Smart Traffic Control System (STCS) to facilitate and optimize traffic flow, minimize traffic congestion, and reduce the waiting time by detecting the density on each street. This work has been carried on four phases. Firstly, collecting data by a questionnaire and we received 331 responses. Secondly, using Proteus simulation. Thirdly, building a low fidelity prototype, and fourthly: building the STCS model by using hardware (Arduino tools) and software (Arduino Software IDE). Finally, we learned how to build a system and we recommend using such a system in busy roads to reduced congestion and making traffic flow more efficient.</span>
Halogenoderma (HD) is an uncommon dermatosis that develops following exposure to halogens such as iodide and bromide, referred to as iododerma and bromoderma, respectively. Here, we report the case of a 40-year-old male who presented with a three-week history of slightly itchy progressive skin lesions associated with low-grade fever and malaise. The patient had a history of using food supplements containing iodide and bromide for four months prior to the appearance of skin rashes. Skin examination revealed multiple crusted papules and nodules scattered on his face, neck, and trunk. A skin biopsy was taken from the lesions. The epidermis showed crustation, exocytosis of neutrophils, and multiple intraepidermal abscesses. The dermis showed heavy cellular infiltrates composed mainly of neutrophils. The skin lesions disappeared completely after the cessation of food supplements, along with the use of topical corticosteroids for a few weeks.
Background: Although COVID-19 is known to cause fever and an array of respiratory symptoms, the disease has recently been reported to be associated with dermatological symptoms. It is crucial to identify the frequency and the nature of these symptoms to facilitate the early detection and the efficient management of the disease. Methods: A cross-sectional observational survey study that was carried out in Saudi Arabia Previously-infected adult residents with COVID-19 were considered. Sociodemographic characteristics, concomitant medications, medical history, and the occurrence of skin manifestations while having COVID-19 infection were collected. Data were represented in the form of frequencies (number of responders) and valid percentages for categorical variables. ANOVA test was utilized to compare means between different subgroups. All P values < 0.05 were considered statistically significant. Result: A total of 464 participants were included. Gender distribution was almost equal. Out of them, 54.1% aged from 21 to 40 years old and 65.9% hold a university degree. Skin symptoms were reported in 9.1% respondents. The most common locations were all-over the body (1.5%), arms (1.3%), face or upper body (1.3%) and fingers (1.3%). Participants experienced morbilliform rash (3.5%), maculopapular rash (1.3%), urticaria (0.9%), livedo reticularis (0.2%) while 5.4% experienced miscellaneous skin symptoms. Conclusion: More research studies investigating the prevalence and patterns of skin symptoms accompanying COVID-19 infection are suggested.
Sunlight exposure has both beneficial and detrimental effects, as it is the primary source of vitamin D and is also a major cause of skin damage, burning, and cancer. Ultraviolet protection is an important main preventive technique against skin cancer and sun damage, which is the most common skin disease worldwide, and the ninth most frequent cancer in Saudi Arabia. The main aim of this study is to determine the knowledge, attitude and practices toward sun exposure and use of sun protection among university students in Taif city of Saudi Arabia. Methods:This is a cross-sectional electronic-based survey study that was conducted between the 1 September 2020 and 30 August 2021. The targeted population involved all Taif university students, with a total number of 329 students included in the study. The survey data included items related to demographic information, knowledge, attitude, and practice toward sun exposure and use of sun protection measurements. Results:The daily duration of sun exposure among the participants was reported by 60.3% (n=188) as only for less than one hour, 32.4% (n=101) were exposed for one to four hours, and only 7.4% (n=23) were exposed between 5-6 hours. The prevalence of sunscreen usage among the study participants was found to be 71.1% (n=222), and the frequency of sunscreen usage showed 21.6% (n=48) used it 'always', 33.3% (n=74) used it 'sometimes', and 45% (n=100) used it 'rarely', when they go out in the sun. Conclusion:A large percentage of students in Taif university are exposed to ultraviolet rays as their university days peak during sun hours. Only a small percentage were found to always use sun protection methods. More awareness campaigns on campus and social media about the importance of using sun protection measures and the proper way of using sunscreen are required.
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