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Ibrahim Mahmoud

Researcher at University of Sharjah

Publications -  38
Citations -  562

Ibrahim Mahmoud is an academic researcher from University of Sharjah. The author has contributed to research in topics: Population & Emergency department. The author has an hindex of 11, co-authored 34 publications receiving 326 citations. Previous affiliations of Ibrahim Mahmoud include University of Queensland & Royal Brisbane and Women's Hospital.

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Knowledge, Anxiety, Fear, and Psychological Distress About COVID-19 Among University Students in the United Arab Emirates

TL;DR: Age, dwelling status, history of mental illness, anxiety, and fear significantly predicted psychological distress among students in the United Arab Emirates during the COVID-19 pandemic.
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Prevalence of Helicobacter pylori and Its Associated Factors among Healthy Asymptomatic Residents in the United Arab Emirates.

TL;DR: Logistic regression analysis has shown a significant association between H. pylori infection and gender, age, ethnicity, profession, domestic overcrowding, source of drinking water, and gastrointestinal characteristics of participants.
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Clinical characteristics and outcomes of COVID-19 hospitalized patients with diabetes in the United Kingdom: A retrospective single centre study.

TL;DR: Hospitalized COVID-19 patients with diabetes had a longer length of stay in hospital than patients without diabetes and patients with diabetic ketoacidosis were more likely to survive compared to patients without DKA.
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Acute headache presentations to the emergency department: a statewide cross-sectional study

TL;DR: The majority of patients had a benign diagnosis, with intracranial hemorrhage and bacterial meningitis accounting for only 3% of the diagnoses, and there are variations in the proportion of patients receiving CT head scans between city-regional and principal-referral hospitals.
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Diabetes risk score in the United Arab Emirates: a screening tool for the early detection of type 2 diabetes mellitus

TL;DR: A simple, non-invasive risk score model was developed to help to identify those at high risk of having diabetes among UAE citizens, which could contribute to the efficient and less expensive earlier detection of diabetes in this high-risk population.