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>
Periodontal diseases refer to the diseases of gums or bone resulting in inflammation and loss of teeth. The disease affects adults more commonly, but children are also at risk of development of disease. Both modifiable and nonmodifiable risk factors play a vital role in progression of disease. Risk assessment is of utmost importance in periodontics as it contributes to early prevention and management of the disease thus decreasing rate of progression and associated complication. For the purpose of risk assessment various assessment tools are available that are routinely used by dental practitioners. The aim of this research is to review the available information regarding the assessment tools used in periodontics. American academy of periodontology self-assessment tool, oral health information suite, periodontal risk assessment hexagonal diagram, periodontal risk assessment model by Chandra, are some risk assessment tools used by dentists. Almost 20% of patient population who require treatment to prevent or slow the course of severe periodontal disease can be identified by utilization of a risk assessment questionnaire. The risk assessment findings can aid in clinical diagnosis and designing of an effective treatment strategy which can enhance the quality of dental care for patients. Well-established theoretical literature is present regarding these assessment tools but data about their clinical use and patient outcome is very limited. In future more clinical research is needed regarding the use of assessment tools in periodontics as they are quite important due to their role in early identification and intervention and also in predicting future outcome.a
Background: The development of a COVID-19 vaccine is seen as a critical strategy for bringing the pandemic to an end. Understanding the main determinants that influence the community's preferences and demands for a potential vaccine may aid in the development of strategies to improve the global vaccination program. Methods: This is a cross-sectional online self-administered questionnaire study that was distributed in Taif city, Saudi Arabia between March 2021 to June 2021. The survey included socio-demographic data, beliefs toward COVID-19 vaccination, barriers associated with acceptance of COVID-19 vaccination and the last part about generalized anxiety disorder scale. Results: It was reported that 25.6% of the participants had taken at least one dose of the COVID-19 vaccine (COV), and 39.8% are planning to take it. Regarding beliefs and perceptions related to COV, 44.3% had demonstrated positive beliefs and 55.7% had negative beliefs. The analysis showed that 59.7% agreed that COV is safe, and 57.8% believed that it is effective. It was found that 53.3% of the participants were concerned about the vaccine's side effects, and only 9.8% believed that the COVID-19 vaccination is a conspiracy. When we assessed the relationship of attitudes with sociodemographic characteristics of the participants, males, Saudi nationality, singles, higher qualifications, unemployment, and students showed more positive attitudes than the rest. Conclusion: Our research findings show that there is an association between planning to take the vaccine and positive attitudes toward vaccine safety and effectiveness among the Taif City population These results could help the government, ministry of health, health practitioners, and other health organizations to more accurately tailor messages around COVID-19 vaccine programs.
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.
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