Publications by authors named "Laila Almutairi"
Objectives: Influenza vaccination is important for healthcare workers in order to prevent both the illness itself and transmission to patients. Previous studies in Saudi Arabia have revealed low influenza vaccine coverage among healthcare workers due to misconceptions. This study aimed to assess knowledge, attitudes, and practices regarding influenza vaccination among healthcare workers during 2021, addressing the current data gap.
View Article and Find Full Text PDFFeline Coronavirus (FCoV) is a worldwide viral infection of felids. The disease is usually asymptomatic, but it can cause mild diarrhoea; however, few numbers of cases may develop a severe systemic disease known as feline infectious peritonitis (FIP). This study aims to determine the prevalence of FCoV shedding in the faeces of stray cats in Kuwait and detect antibodies against FCoV in their serum.
View Article and Find Full Text PDFAims: This study aimed to assess the quality of life of schoolchildren with type 1 diabetes mellitus (T1DM) and determine their guardians' satisfaction of diabetes health care in Saudi Arabian schools.
Methods: A cross-section multicenter study was conducted from February to July 2022 among Schoolchildren with T1DM in Saudi Arabia. The study included T1DM school children aged 6-18 years.
Article Synopsis
- The study aimed to segment CT images using a k-means clustering algorithm and extract textural features with the gray level co-occurrence matrix (GLCM).
- It compared the effectiveness of machine learning classifiers (Naïve Bayes, Bagging, REPTree) to classify images as COVID or non-COVID, alongside three pre-trained CNN models (AlexNet, ResNet50, SqueezeNet).
- The results showed that the Naïve Bayes classifier achieved a 97% accuracy, while the ResNet50 model led with 99%, indicating that deep learning networks were more effective than traditional machine learning methods for classifying COVID-19 images.
Background: Post-acute COVID-19 syndrome (PACS) is an important healthcare burden. We examined persistent symptoms in COVID-19 patients at least four weeks after the onset of infection, participants' return to pre-COVID-19 health status and associated risk factors.
Methods: Cross-sectional study was conducted (December 2020 to January 2021).
Introduction: Type two diabetes mellitus (T2DM) remission has been observed as an additional benefit of bariatric surgery for morbidly obese diabetic patients. There are many scoring systems for identifying factors that predict diabetes remission; however, there is as yet no universally applicable scoring system.
Aim: This study aims to test the sensitivity of the DiaRem scoring system for predicting the resolution of T2DM in morbidly obese patients who underwent bariatric surgery at King Fahad Specialist Hospital in Buraydah, Saudi Arabia.
Novel NSP4 genotype in a camel G10P[15] rotavirus strain.
Acta Microbiol Immunol Hung
September 2012
In this study a Kuwaiti camel rotavirus strain, RVA/Camel-wt/KUW/s21/2010/G10P[15], is characterized by sequencing and phylogenetic analysis. The strain had multiple genes with high nucleotide sequence similarities to ovine and bovine strains (VP2, ≤ 96%; NSP2 and NSP5, ≤ 97%, NSP3, ≤ 94%), or, to porcine strains (VP1, ≤ 89%). Other genes had moderate sequence similarities (VP4, ≤ 87%; VP6, ≤ 81%; VP7, ≤ 82%) with reference strains from ruminants.
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