ABSTRACT
The number of COVID-19 cases has continued to rise since the World Health Organization (WHO) declared the Coronavirus Disease 2019 (COVID-19) as a global pandemic in March 2020. At this time, WHO has received reports of about 460 million confirmed illnesses and over 6 million deaths. In Saudi Arabia, the number of confirmed cases has nearly surpassed 750 thousand, with COVID-19 responsible for approximately 9,000 deaths. Vaccination is the most effective approach to prevent this pandemic, and persons who have had three doses are better protected than those who have not. The goal of this study is to look into the adverse effects of COVID-19 vaccine after the third booster dosage in Saudi Arabian healthcare personnel. Between November 2021 and April 2022, a cross-sectional survey was conducted using simply a questionnaire. Pain at injection site was the commonest side effect, followed by fatigue and headache. There is a temperature and edema at the injection site, respectively. 27.71 percent of female participants experienced menstrual cycle changes such as delayed or menorrhagia. The side effects are comparable to those experienced after the first and second COVID-19 vaccination doses. More research on long-term side effects, as well as studies into the relationship between menstrual cycle changes and COVID-19 vaccination, is needed.
ABSTRACT
The coronavirus pandemic has spread over the past two years in our highly connected and information-dense society. Nonetheless, disseminating accurate and up-to-date information on the spread of this pandemic remains a challenge. In this context, opting for a solution based on conversational artificial intelligence, also known under the name of the chatbot, is proving to be an unavoidable solution, especially since it has already shown its effectiveness in fighting the coronavirus crisis in several countries. This work proposes to design and implement a smart chatbot on the theme of COVID-19, called COVIBOT, which will be useful in the context of Saudi Arabia. COVIBOT is a generative-based contextual chatbot, which is built using machine learning APIs that are offered by the cloud-based Azure Cognitive Services. Two versions of COVIBOT are offered: English and Arabic versions. Use cases of COVIBOT are tested and validated using a scenario-based approach. © 2022 IEEE.
ABSTRACT
A new variant of the Coronaviridae family is the main reason for the contagious Coronavirus disease (COVID-19). COVID-19 mainly spreads by direct contact with the virus through contact with a COVID-19's patient, coughing, sneezing, or touching surfaces contaminated with the virus. The Ministry of Health (MOH) has made the audience conscious of the virus infectious styles and the value of quarantine, curfew and vaccination versus COVID-19. Despite strict measures taken, the awareness of people towards vaccination against COVID-19 and symptoms of the vaccination against COVID-19 the most important factor in limiting the widespread of diseases. To assess the awareness of risk the perceptions attitude about signs and Symptoms of the Vaccination against COVID-19 and communication practices of Vaccination about COVID-19 among the Adult Saudi Population. This cross-sectional study was conducted online among Saudi Arabia adults population in a primary health care center in Makkah Al-Mukarramah. The questionnaire collected socio-demographic characteristics, attitudes about symptoms of the vaccination against COVID-19, and practices of vaccination about COVID-19. A self-managed survey was proposed and has been sent to the study entrants during social media platforms and email. Our total entrants were (350). During the pandemic interval, a strong request for and high acceptance of COVID-19 inoculation has been cleared among the Saudi Arabia population, many adults are willing to get a COVID-19 vaccine, though acceptability should be monitored as vaccine development continues, while concerns exist about symptoms of vaccination against COVID-19. To expand vaccination coverage, programs should be designed about symptoms. Copyright (C) 2013 - All Rights Reserved - Pharmacophore