scholarly journals Was This the First Case of Isospora belli in Saudi Arabia?

2019 ◽  
Vol 26 (1) ◽  
pp. 1-2
Author(s):  
Majed H. Wakid
Keyword(s):  
Saudi Arabia ◽  
First Case

Harel-Yoon syndrome: the first case report from Saudi Arabia

2020 ◽  
pp. 22-27 ◽  
Author(s):  
Alaa AlAyed ◽  
Manar Samman ◽  
Abdul Peer-Zada ◽  
Mohammed Almannai
Keyword(s):  
Saudi Arabia ◽  
Case Report ◽  
First Case

scholarly journals Estimating COVID-19 cases in Makkah region of Saudi Arabia: Space-time ARIMA modeling

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250149
Author(s):  
Fuad A. Awwad ◽  
Moataz A. Mohamoud ◽  
Mohamed R. Abonazel
Keyword(s):  
Saudi Arabia ◽  
Moving Average ◽  
Arima Model ◽  
Daily Basis ◽  
World Health ◽  
Arima Models ◽  
Autoregressive Integrated Moving Average ◽  
First Case ◽  
Novel Coronavirus ◽  
The Impact

The novel coronavirus COVID-19 is spreading across the globe. By 30 Sep 2020, the World Health Organization (WHO) announced that the number of cases worldwide had reached 34 million with more than one million deaths. The Kingdom of Saudi Arabia (KSA) registered the first case of COVID-19 on 2 Mar 2020. Since then, the number of infections has been increasing gradually on a daily basis. On 20 Sep 2020, the KSA reported 334,605 cases, with 319,154 recoveries and 4,768 deaths. The KSA has taken several measures to control the spread of COVID-19, especially during the Umrah and Hajj events of 1441, including stopping Umrah and performing this year’s Hajj in reduced numbers from within the Kingdom, and imposing a curfew on the cities of the Kingdom from 23 Mar to 28 May 2020. In this article, two statistical models were used to measure the impact of the curfew on the spread of COVID-19 in KSA. The two models are Autoregressive Integrated Moving Average (ARIMA) model and Spatial Time-Autoregressive Integrated Moving Average (STARIMA) model. We used the data obtained from 31 May to 11 October 2020 to assess the model of STARIMA for the COVID-19 confirmation cases in (Makkah, Jeddah, and Taif) in KSA. The results show that STARIMA models are more reliable in forecasting future epidemics of COVID-19 than ARIMA models. We demonstrated the preference of STARIMA models over ARIMA models during the period in which the curfew was lifted.

scholarly journals Rehabilitation of a patient with spinal cord decompression sickness: First case report from Saudi Arabia

2019 ◽  
Vol 7 (11) ◽  
pp. 2231-2234
Author(s):  
Sami Ullah ◽  
Ahmad Zaheer Qureshi ◽  
Kholoud Kedowah ◽  
Afnan AlHargan ◽  
Asim Niaz
Keyword(s):  
Spinal Cord ◽  
Saudi Arabia ◽  
Case Report ◽  
Decompression Sickness ◽  
First Case ◽  
Spinal Cord Decompression

scholarly journals First Case of Neurocysticercosis in Saudi Arabia

2003 ◽  
Vol 49 (1) ◽  
pp. 58-60 ◽  
Author(s):  
D. Al Shahrani
Keyword(s):  
Saudi Arabia ◽  
First Case

scholarly journals Using Mathematical and Statistical Model to Forecast the Path of Infection by Covid-19 in the Kingdom of Saudi Arabia

2021 ◽  
Vol 20 (2) ◽  
Author(s):  
Tarek Omara ◽  
Khaled A. Harby
Keyword(s):  
Saudi Arabia ◽  
Weibull Model ◽  
Time Curve ◽  
Seir Model ◽  
Nonlinear Growth ◽  
First Case ◽  
Long Run ◽  
Short Period ◽  
Short Run ◽  
The Relationship

Saudi Arabia, like any other part of the earthly globe, has been exposed to the Covid-19 pandemic. The first case appeared on March 3, 2020, followed by an increase in the number of infections until it reached thousands with the numbers on the rise. Therefore, adopting clear strategies to deal with the pandemic according to specific data on its size is necessary. In this study, the time series of the number of infections and deaths were analyzed to study the behavior of the pandemic over time. The cumulative curve of the phenomenon was analyzed to show the extent of the pandemic's decline or spread. On the other hand, the time curve of the number of cases of the pandemic was fitted based on a set of mathematical and statistical models, which were divided into three sections [nonlinear growth model, Susceptible, Exposed, Infectious, Recovered (SEIR) model, regression model] to attain the best possible fitting of the relationship curve. The results show that the Weibull model and Polynomial model at (n = 4) are the best models for fitting the relationship at short run and the SEIR model gives better relationship fitting at long run. In conclusion, there is a tendency for the disease to decline during the short period, while expecting other waves of the epidemic that will recede in the long term with the emergence of a suitable vaccine.

scholarly journals First case report of chronic pulmonary lung disease caused by Mycobacterium abscessus in two immunocompetent patients in Saudi Arabia

2012 ◽  
Vol 32 (3) ◽  
pp. 312-314 ◽  
Author(s):  
Bright Varghese ◽  
Sue Elizabeth Shajan ◽  
Majed Omar Al Saedi ◽  
Sahal A. Al-Hajoj
Keyword(s):  
Saudi Arabia ◽  
Case Report ◽  
Lung Disease ◽  
Mycobacterium Abscessus ◽  
First Case ◽  
Immunocompetent Patients

scholarly journals Pediatric invasive disease due to Haemophilus influenzae serogroup A in Riyadh, Saudi Arabia: case series

2016 ◽  
Vol 10 (05) ◽  
pp. 528-532 ◽  
Author(s):  
Zailaie Roaa ◽  
Alawfi Abdulsalam ◽  
Ghazi Shahid ◽  
Baba Kamaldeen ◽  
Al Fawaz Tariq
Keyword(s):  
Saudi Arabia ◽  
Blood Culture ◽  
Haemophilus Influenzae ◽  
Vaccine Development ◽  
Good Condition ◽  
Case Series ◽  
Invasive Disease ◽  
Medical Illness ◽  
Serotype A ◽  
First Case

We describe the first two cases of invasive disease caused by Haemophilus influenzae serotype A in Saudi Arabia. This is the first known reported invasive Haemophilus influenzae serotype A from Saudi Arabia. Case presentation: A ten-month-old and three-month-old male not known to have any past history of any medical illness and who had received H. influenzae type b (Hib) vaccine presented to our hospital mainly with fever of few days’ duration. A provisional diagnosis of meningitis with sepsis was made and laboratory tests were requested. The chest radiograph was normal. The laboratory results revealed leukocytosis, but leukopenia was noticed in the younger infant. Blood culture and cerebrospinal fluid specimens yielded a pure culture of Haemophilus influenzae and serotyping showed the isolates to be serogroup A. Both patients were started on vancomycin and third-generation cephalosporin. On receiving the blood culture result, vancomycin was stopped. Fever subsided after 48 hours, while in the second case, it continued for 12 days from the admission date. The repeat blood cultures were negative. Antibiotic therapy was given for 10 days for the first case with an unremarkable hospital course, while the second case was complicated by seizure and received a longer duration of antibiotics. Both infants were discharged home in good condition. Conclusions: Invasive non-typeable H. influenzae strains are emerging and there is a need for surveillance of this disease. This has implications in future vaccine development.

scholarly journals COVID-19 in Saudi Arabia: the national health response

2021 ◽  
Author(s):  
Anas A. Khan ◽  
Yousef M. Alsofayan ◽  
Ahmed A. Alahmari ◽  
Jalal M. Alowais ◽  
Abdullah R. Algwizani ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
World Health ◽  
Private Institutions ◽  
Governance System ◽  
Public And Private ◽  
Proper Actions ◽  
Social Events ◽  
First Case ◽  
Self Sufficiency ◽  
Health Response

Background: With the spread of coronavirus disease 2019 (COVID-19), most countries rushed to take early measures to control this disease. Aims: This paper describes and evaluates the Saudi Arabian strategic preparedness and response plan on COVID-19 up to 31 December 2020. Methods: Saudi Arabia adopted the World Health Organization’s guidelines on response to COVID-19, which are based on nine pillars of public health preparedness and response. The measures Saudi Arabia took are assessed against these pillars. Results: In response to COVID-19, Saudi Arabia prepared public and private institutions to deal with the pandemic. Saudi authorities established a governance system comprised of responsible committees to continuously monitor national and international updates, trace contacts, screen the population, raise awareness and take proper actions to contain the spread of this disease. After the announcement of the first case in Saudi Arabia, all schools, social events, sports activities, domestic travel and international flights were suspended. Restrictions on social movement, social and religious gatherings, travel and businesses were imposed ahead of the first 100 confirmed COVID-19 cases. The Hajj pilgrimage for 2020 was scaled down to limit participants and no cases of COVID-19 were detected among pilgrims. The country maintained all basic health services and immunization programmes and supported all proposals for COVID-19 drugs and vaccines. The country is working to develop its capacity to produce these products and achieve self-sufficiency. Conclusion: Saudi Arabia took extreme measures to respond to COVID-19 which contributed to limiting the spread and effect of the disease.

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.

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