scholarly journals Spread and Dynamics of COVID-19 in the Kingdom of Saudi Arabia and Four Other Countries in the Early Phase: A Study for the Development of the Advanced Health System

2021 ◽  
Author(s):  
Shahanavaj Khan ◽  
Asimul Islam ◽  
Ahmad Firoz ◽  
Anis Ahmad Chaudhary ◽  
Mohammad Amjad Kamal ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Saudi Arabia ◽  
Health Policy ◽  
Drug Discovery ◽  
Early Phase ◽  
Kingdom Of Saudi Arabia ◽  
Drug Discovery And Development ◽  
First Case ◽  
Daily Report ◽  
The World

Abstract BackgroundThe epidemic of 2019 novel coronavirus (SARS-CoV-2) is challenge to the world which was at first confirmed in the Wuhan city of China in December 2019. It was declared a pandemic by the World Health Organization (WHO) in March 2020. In the current work we evaluated effect of health policy of Saudi Arabia for the management of COVID-19 pandemic in early phase and compared to other four countries. MethodBased on the Ministry of Health, Kingdom of Saudi Arabia (KSA) data, the summary of daily report of COVID-19 was prepared from 02 March to 30 April 2020. Further, the daily report of enhancement in cases and recovery of the patients was also summarized. Moreover, the incidence, death and recoveries of COVID-19 cases in KSA were compared with major infected country including China, Italy, Spain and United State of America (USA). The important role of artificial intelligence was shown for the development of drug targets against to infectious diseases Results In KSA, the first case of COVID-19 was reported on 02 March 2020. Since then, it has affected 22,753 persons till the end of the April 2020. Also, the results showed that the infection rate of COVID-19 increased continuously during the current period of study in KSA. Nevertheless, the rate of death due to COVID-19 is much less with comparison to China, Italy, Spain, and USA due to good medical facilities along with quick action by the government of KSA after the emergence of first case. There is a dire need to develop new platforms and approaches to combat new and old diseases including COVID-19 at warp speed when compared to traditional approaches. DeepDrug’s approach to drug discovery and development showed brighter future towards the discovery of novel drugs against infectious diseases including COVID-19.ConclusionCurrently, there is higher probability of COVID-19 spread at any place. Therefore good health policy, precautionary measures and medical facility of whole nations should be excellent to combat against the COVID-19 pandemic until the reliable vaccine or antiviral drug developed for the proper treatment of virus. The artificial intelligence (AI) based available process might be very helpful for the drug discovery and development against of old and newly discovered diseases including COVID-19.

scholarly journals The long-term effects of modifiable and unmodifiable risk factors of stroke

2020 ◽  
Vol 7 (11) ◽  
pp. 4626
Author(s):  
Khaled M. Hassan ◽  
Asala M. Wafa ◽  
Manea S. Alosaimi ◽  
Kawthar A. Bokari ◽  
Mosab A. Alsobhi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Saudi Arabia ◽  
Arabian Peninsula ◽  
Modifiable Risk Factors ◽  
Long Term Effects ◽  
Kingdom Of Saudi Arabia ◽  
Mortality And Morbidity ◽  
The Third ◽  
The World

Stroke is a major cerebrovascular disease causes high mortality and morbidity in people around the world. Stroke is the third leading cause of death and the leading cause of adult disability. The largest country in the middle East, the Kingdom of Saudi Arabia (KSA), has been occupying approximately four-fifths of the Arabian Peninsula supporting a population of more than 28 million. Stroke is getting to be a quickly expanding issue and is the leading cause of illness and deaths in Saudi Arabia. It is clear that researches and studies regarding the incidence, prevalence and their sociodemographic properties of stroke is still incomplete due to lack of present studies being conducted in these specified areas. This article aims to discuss the aspect of stroke in Saudi Arabia beside the effects of modifiable and the non-modifiable risk factors from the literature published. 

http://habibiaislamicus.com/index.php/hirj/article/view/122

2021 ◽  
Vol 5 (3) ◽  
pp. 53-62
Author(s):  
Mohammad Esmaeel Haqani ◽  
Keyword(s):  
Saudi Arabia ◽  
Critical Analysis ◽  
Basic Information ◽  
Huge Number ◽  
Kingdom Of Saudi Arabia ◽  
Research Project ◽  
Red Color ◽  
The Social ◽  
The World ◽  
Present Thesis

From the beginning of Islam to date, the scholars interpreted the Holy Qurʾān, all over the world. They performed their responsibilities of explaining the Holy Qurʾān according to the circumstances. As result of this, they left massive heritage in the field of Tafsir. However a large number of these books could not be pupblished and vanished with the pasage of time and huge number of these scholarly works is available in two forms; published and manuscript. Libraries of Turkey, Kingdom of Saudi Arabia, Berlin, Leiden and Sub-continent, are proud to have antique manuscripts. Tafsir Talkhis-ud-Durar of Allama Abdul Hameed Bin Abdul Majeed Al-Hakimi (514 A.H) is one of the notable manuscripts scholarship in the field of Tafsir. The manuscript is available in Noor-e-Usmania Library, Istanbul, Turkey, which is famous for the preservation of Islamic literature. The manuscript of Tafsir Talkhis-ud-Durar, exists in one volumes of 425 sheets, each sheet contain two parallel pages. The language of the manuscript is Arabic, and scribe style is Arabic Naskh, while scribe used red color for Qurʾānic words and the black for the interpretation. This corpus of Tafsir is a valuable treasure of a well-learned and prolific brain of Allama Abdul Hameed Bin Abdul Majeed Al-Hakimi. He not only interprets the text of the Holy Qurʾān literally but also tries to relate the Qurʾānic message to the contemporary problems of his era, ranging from the life of individual to the broad spectrum of the collective sphere life. We may consider it among early interpretations of the Holy Qurʾān, which are far away from sectarianism and focus on message of the Holy Qurʾān and deal specifically with the social problems of the Muslims world. In the view of its important the Department of Tafsir and Quranic Sciences at the Faculty of Usuluddin, Internationa Islamic University made it a research project to be edited by four PhD students of the Department; the details are as follow: . Muhammad Esmaeel Haqani; from Sheet: 1 to 74 (Surah Al-Fatiha to Surah Al-Maida and first pard of the thesis containg introduction of the manuscript and the author and the scribe and mathodology of the author in detail.) Nasrullah tend to edit the manuscript of this interpretation and devided in to fifteen chapber beginning from Surah al-An’am to end of Surah Taha, (sheet no: 74 to 189 of the manuscript). The thesis also contains a a brief preface containing basic information about the manuscript, the scribe, the auhor and his mathodology in his Tafsir. Abdul Rahman tend to edit the manuscript of this interpretation beginning from Surah al-Anbia to end of Surah Ghafir, (sheet no: 189 to 306 of the manuscript). The thesis also contains a a brief preface containing basic information about the manuscript, the scribe, the auhor and his mathodology in his Tafsir 4 Jawed Ahmed tend to edit the manuscript of this interpretation, as a research project in terms of editing, annotating, clarification, critical analysis in the foot notes where necessary. The present thesis is from Sheet: 1 to 74 (Surah Al-Fatiha to Surah Al-Maida and first pard of the thesis containg introduction of the manuscript and the author and the scribe and mathodology of the author in detail.)

scholarly journals Representing Kingdom’s Makeover after Vision 2030: A Corpus-Driven Analysis of American Media Discourse

2021 ◽  
Author(s):  
Ansa Hameed ◽  
Ismat Jabeen ◽  
Naeem Afzal
Keyword(s):  
Saudi Arabia ◽  
Quantitative Study ◽  
The Other ◽  
Western World ◽  
Media Discourse ◽  
Mainstream Economic ◽  
Kingdom Of Saudi Arabia ◽  
The World ◽  
American Media ◽  
Vision 2030

Saudi Vision 2030 is a scheme; the Kingdom of Saudi Arabia has formulated to realize its mainstream economic, social, and administrative goals. Accordingly, the Kingdom strategizes to implement this transformative Vision. The current research aims to analyze how American media has reported several events, actions, and policies in line with Saudi Vision 2030. Thus, the question posed is how an image of the transformative Saudi Kingdom has been presented by American media discourse, in line with Vision 2030. The study is substantial for the Kingdom to ascertain how the world has responded to its Vision. Moreover, in a world with media as a dominant directing agency, it is imperious for the Kingdom to keep an eye on its image in the global community. The research is primarily a quantitative study based on the corpus approach to study the designated media discourse. A specialized corpus of 150,000 words is compiled and analyzed through a variety of corpus tools. The results reveal that American newspapers have given limited representation of the Vision and related activities. Their media usually highlights the pre-existing features of the Kingdom. On the other hand, there are very occasional references to some new aspects like the transformation of the economy, promotion of tourism, revision of the society, etc., which are being implemented in the Kingdom. The study suggests that the Kingdom needs to brief the Western world for an enriched campaign of its contemporary image.

scholarly journals Comparing the Chinese Construction Industry with Other Developing Countries to Identify an Applicable Solution to Low Construction Performance

2020 ◽  
Vol 12 (2) ◽  
pp. 81
Author(s):  
Yutian Chen ◽  
Oswald Chong
Keyword(s):  
Developing Countries ◽  
Saudi Arabia ◽  
Construction Industry ◽  
The United States ◽  
State University ◽  
Arizona State University ◽  
Kingdom Of Saudi Arabia ◽  
High Performing ◽  
Best Value ◽  
The World

The Chinese Construction Industry (CCI) has become one of the largest in the world within the last 20 years. However, due to its rapid growth it has been experiencing issues causing the industry to struggle with delivering high performing projects. Due to the differences between developed and developing countries construction industries, research from other developing countries that were similar to China (Vietnam and Kingdom of Saudi Arabia) were used to help identify solutions to improve the CCI. Previous research has identified the major risks in Vietnam and Saudi Arabia. It has also been identified the only solution that has documented evidence that it can improve construction performance is the Best Value Approach that was developed in the United States at Arizona State University. A literature research was performed identifying the major risks and issues that have been documented in the CCI. These risks were then compared to that of the Vietnam and Kingdom of Saudi Arabia’s construction industry risks. It was identified that the majority of the top risks were similar in all three countries. Identifying that developing countries have been experiencing the same issues. This also identifies that the Best Value Approach might be a solution to help improve the CCI.

scholarly journals A cross-sectional study on awareness, attitude and perception of COVID 19 among the people of Kingdom of Saudi Arabia

2020 ◽  
Vol 13 (41) ◽  
pp. 4297-4306
Author(s):  
Jerlin Priya Lovelin Auguskani ◽  
Keyword(s):  
Saudi Arabia ◽  
Public Awareness ◽  
World Health ◽  
Disease Spread ◽  
Research Approach ◽  
Kingdom Of Saudi Arabia ◽  
Cross Sectional ◽  
Corona Virus ◽  
The People ◽  
The World

Background/Objectives: Corona virus disease 2019 (COVID-19) has been accepted as a pandemic by the World Health Organization in the month of March 2020. Globally many efforts have been made to inhibit the spread of the disease through various strategies to create public awareness and changing personal behaviors. According to WHO report as on 2nd of October 2020, the mortality was 34,079,542 and morbidity rate of 1,015,963. In Saudi Arabia, there are 335,578 positive cases of coronavirus, 4,823 deaths and 320,348 recovered from illness. Keeping this in view, the present study was conducted to understand the level of awareness, attitude and perception regarding prevention and control of COVID 19 among people of the Kingdom of Saudi Arabia. Methods: Quantitative research approach was adopted with Cross sectional descriptive research design. Data was collected through the online semi structured questionnaire. The questionnaire has four sections including demographic variable, awareness, attitude and perception. The analysis is based on 301 respondents from 13 regions of the Kingdom of Saudi Arabia. Descriptive statistics was used to analyze the data. Findings: COVID 19 outbreak threaten the life and wellbeing of people around the world. The study finding shows that the people of Kingdom of Saudi Arabia have adequate awareness in various component of corona virus with positive attitude and good practices with regard to disease spread. Also, majority of young people mentioned that they attained awareness from social media, whereas the other age group mentioned as MOH as the major source of information. Hence, constant public educational campaign with various sources have added advantage with present outcome. Novelty: While COVID 19 outbreak threaten the life and wellbeing of people around the world, it’s vital to constantly create awareness in cause, spread, treatment and prevention to control its impact further. Keywords: COVID 19; awareness; attitude; practice; Coronavirus

scholarly journals KAIMRC’S Second Therapeutics Discovery Conference

Proceedings ◽  
2020 ◽  
Vol 43 (1) ◽  
pp. 6
Author(s):  
Zeyad Alehaideb ◽  
Nimer Mehyar ◽  
Mai Al Ajaji ◽  
Mohammed Alassiri ◽  
Manal Alaamery ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Drug Discovery ◽  
Drug Formulation ◽  
Research Centre ◽  
Healthy Population ◽  
Kingdom Of Saudi Arabia ◽  
Structural Genomic ◽  
New Therapies ◽  
Area Of Interest ◽  
Pharmaceutical Industries

Following the success of our first therapeutic discovery conference in 2017 and the selection of King Abdullah International Medical Research Centre (KAIMRC) as the first Phase 1 clinical site in the Kingdom of Saudi Arabia, we organized our second conference in partnership with leading institutions in academic drug discovery, which included the Structural Genomic Constorium (Oxford, UK), Fraunhofer (Germany) and Institute Material Medica (China); the participation of members of the American Drug Discovery Consterium; European Biotech companies; and local pharma companies, SIPMACO and SudairPharma. In addition, we had European and Northern American venture capital experts attending and presenting at the conference. The purpose of the conference was to bridge the gap between biotech, pharma and academia regarding drug discovery and development. Its aim primarily was to: (a) bring together world experts on academic drug discovery to discuss and propose new approaches to discover and develop new therapies; (b) establish a permanent platform for scientific exchange between academia and the biotech and pharmaceutical industries; (c) entice national and international investors to consider funding drugs discovered in academia; (d) educate the population about the causes of diseases, approaches to prevent them from happening and their cure; (e) attract talent to consider the drug discovery track for their studies and career. During the conference, we discussed the unique academic drug discovery disrupting business models, which can make their discoveries easily accessible in an open source mode. This unique model accelerates the dissemination of knowledge to all world scientists to guide them in their research. This model is aimed at bringing effective and affordable medicine to all mankind in a very short time. Moreover, the program discussed rare disease targets, orphan drug discovery, immunotherapy discovery and process, the role of bioinformatics in drug discovery, anti-infective drug discovery in the era of bad bugs, natural products as a source of novel drugs and innovative drug formulation and delivery. Additionally, as the conference was organized during the surge of the epidemic, we dedicated the first day (25 February) to coronavirus science, detection and therapy. The day was co-organized with the King Saud bin Abdulaziz University for Health Sciences, Kingdom of Saudi Arabia(KSA) Ministry of Education to announce the grant winner for infectious diseases. Simultaneously, intensive courses were delivered to junior scientists on the principle of drug discovery, immunology and clinical trials, as well as rare diseases. The second therapeutics discovery forum provided a platform for interactive knowledge sharing and the convergence of researchers, governments, pharmaceuticals, biopharmaceuticals, hospitals and non-profit organizations on the topic of academic drug discovery. The event presented showcases on global drug discovery initiatives and demonstrated how collaborations are leading to successful new therapies. In line with the KSA 2030 vision on becoming world leaders with an innovative economy and healthy population, therapeutic discovery is becoming an area of interest to science leaders in the kingdom, and our conference gave us the opportunity to identity key areas of interest as well as potential future collaborations.

Short- and long-term predictions of novel corona virus using mathematical modeling and artificial intelligence methods

2021 ◽  
pp. 2150028
Author(s):  
Hend I. Alkhammash ◽  
Sattam Al Otaibi ◽  
Nasim ULLAH
Keyword(s):  
Artificial Intelligence ◽  
Saudi Arabia ◽  
Fuzzy Inference ◽  
Compartmental Models ◽  
Superior Performance ◽  
Kingdom Of Saudi Arabia ◽  
Inference System ◽  
Corona Virus ◽  
Short And Long Term

This paper proposes spread prediction of novel corona virus outbreak using different compartmental models and artificial intelligence (AI) methods. Real data for several months is collected from the Ministry of Health (MOH) website, Kingdom of Saudi Arabia and two compartmental models, namely SIR (susceptible, infectious, recovered) and SEIRD (susceptible, exposed, infectious, recovered, dead) are utilized to best fit the data. AI methods are well suited for short- and long-term stochastic forecasts. Keeping in view the inherent advantages of AI methods, adaptive neuro-fuzzy inference system (ANFIS) models are trained using the collected data to replicate the dynamic behavior of the COVID-19 spread in Kingdom of Saudi Arabia. The prediction comparison for COVID-19 spread is made between the compartmental and ANFIS models for both short- and long-term forecasts of the experimental data. From the presented results, ANFIS-based models show superior performance as compared to compartmental models.

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