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Association between Multimorbidity and COVID-19 Mortality in Qatar: A Cross-Sectional Study
(
PagePress
, 2023 , Article)
This study assessed the association between multimorbidity and mortality from COVID-19 in the Middle East and North Africa region, where such data are scarce. We conducted a cross-sectional study using data of all cases ...
BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data
(
Springer Science and Business Media Deutschland GmbH
, 2023 , Article)
Nowadays, quick, and accurate diagnosis of COVID-19 is a pressing need. This study presents a multimodal system to meet this need. The presented system employs a machine learning module that learns the required knowledge ...
The impact of COVID-19 pandemic lockdown on smoking habits and lifestyle: A cross-sectional study
(
John Wiley and Sons Inc
, 2023 , Article)
Background and Aims: Throughout the COVID-19 lockdown, the resultant psychological disturbances led to more tobacco consumption and deteriorated smoking behaviors among smokers. In this study, we aimed to investigate the ...
Combating COVID-19 pandemic with technology: Perceptions of Mental Health Professionals towards Telepsychiatry
(
Elsevier
, 2021 , Other)
Telepsychiatry, a subset of telemedicine, has been defined as the provision of psychiatric services to patients remotely using information and communication technologies (Chakrabarti, 2015). This cross-sectional survey was ...
Dynamics of Anti-S IgG Antibodies Titers after the Second Dose of COVID-19 Vaccines in the Manual and Craft Worker Population of Qatar
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
There is limited seroepidemiological evidence on the magnitude and long-term durability of antibody titers of mRNA and non-mRNA vaccines in the Qatari population. This study was conducted to generate evidence on long-term ...
Common indications for Referral to the Healthcare system for COVID-19 recovered patients versus Qatar Biobank study population: A descriptive analysis
(
Mattioli1885
, 2022 , Article)
Background and Aim of the Work: Qatar Biobank (QBB) is actively acquiring data on the range of short-and long-term health impacts associated with COVID-19. This is performed through the COVID-19 biorepository National ...
Responses to the COVID-19 pandemic: Lessons learned from Qatar University College of Pharmacy
(
PKP
, 2020 , Article)
The COVID-19 pandemic has resulted in a global emergency in all social realms including, economy, health, and education. In this article, we discuss the impact of COVID-19 pandemic on education, particularly higher education ...
Overview of CheckThat! 2020 English: Automatic Identification and Verification of Claims in Social Media
(
CEUR-WS
, 2020 , Conference Paper)
We present an overview of the third edition of the CheckThat! Lab at CLEF 2020. The lab featured five tasks in Arabic and English, and here we focus on the three English tasks. Task 1 challenged the participants to predict ...
ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection
(
Association for Computational Linguistics (ACL)
, 2021 , Conference Paper)
In this paper we introduce ArCOV19-Rumors, an Arabic COVID-19 Twitter dataset for misinformation detection composed of tweets containing claims from 27th January till the end of April 2020. We collected 138 verified claims, ...
Diagnostic Efficiency of Three Fully Automated Serology Assays and Their Correlation with a Novel Surrogate Virus Neutralization Test in Symptomatic and Asymptomatic SARS-COV-2 Individuals
(
MDPI
, 2020 , Article)
Abstract: To support the deployment of serology assays for population screening during the
COVID-19 pandemic, we compared the performance of three fully automated SARS-CoV-2 IgG assays: Mindray CL-900i® (target: spike [S] ...