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Full-Text Articles in Medicine and Health Sciences
Vitamin D Enhances Type I Ifn Signaling In Covid-19 Patients, Shirin Hafezi, Fatemeh Saheb Sharif-Askari, Narjes Saheb Sharif-Askari, Hawra Ali Hussain Alsayed, Habiba Alsafar, Fatme Al Anouti, Qutayba Hamid, Rabih Halwani
Vitamin D Enhances Type I Ifn Signaling In Covid-19 Patients, Shirin Hafezi, Fatemeh Saheb Sharif-Askari, Narjes Saheb Sharif-Askari, Hawra Ali Hussain Alsayed, Habiba Alsafar, Fatme Al Anouti, Qutayba Hamid, Rabih Halwani
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The ability of Vitamin D (VitD) to modulate antiviral responses through induction of antimicrobial peptide is well established. However, the effect of VitD on host responses to SARS-CoV-2 is not well investigated. We here report the ability of VitD to enhance host IFN-alpha/beta (a/β) signaling both in vitro and among severe COVID-19 patients treated with VitD. Blood and saliva specimens were obtained from severe COVID-19 patients treated (43 patients), or not (37 patients), with vitD, during their stay in intensive care unit. Patients were followed up to 29 days following admission, and patient survival outcomes were collected. Higher activity levels …
Predicting The Level Of Respiratory Support In Covid-19 Patients Using Machine Learning, Hisham Abdeltawab, Fahmi Khalifa, Yaser Elnakieb, Ahmed Elnakib, Fatma Taher, Norah Saleh Alghamdi, Harpal Singh Sandhu, Ayman El-Baz
Predicting The Level Of Respiratory Support In Covid-19 Patients Using Machine Learning, Hisham Abdeltawab, Fahmi Khalifa, Yaser Elnakieb, Ahmed Elnakib, Fatma Taher, Norah Saleh Alghamdi, Harpal Singh Sandhu, Ayman El-Baz
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In this paper, a machine learning-based system for the prediction of the required level of respiratory support in COVID-19 patients is proposed. The level of respiratory support is divided into three classes: class 0 which refers to minimal support, class 1 which refers to non-invasive support, and class 2 which refers to invasive support. A two-stage classification system is built. First, the classification between class 0 and others is performed. Then, the classification between class 1 and class 2 is performed. The system is built using a dataset collected retrospectively from 3491 patients admitted to tertiary care hospitals at the …
Role Of Imaging And Ai In The Evaluation Of Covid-19 Infection: A Comprehensive Survey, Mayada Elgendy, Hossam Magdy Balaha, Mohamed Shehata, Ahmed Alksas, Mahitab Ghoneim, Fatma Sherif, Ali Mahmoud, Ahmed Elgarayhi, Fatma Taher, Mohammed Sallah, Mohammed Ghazal, Ayman El-Baz
Role Of Imaging And Ai In The Evaluation Of Covid-19 Infection: A Comprehensive Survey, Mayada Elgendy, Hossam Magdy Balaha, Mohamed Shehata, Ahmed Alksas, Mahitab Ghoneim, Fatma Sherif, Ali Mahmoud, Ahmed Elgarayhi, Fatma Taher, Mohammed Sallah, Mohammed Ghazal, Ayman El-Baz
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Coronavirus disease 2019 (COVID-19) is a respiratory illness that started and rapidly became the pandemic of the century, as the number of people infected with it globally exceeded 253.4 million. Since the beginning of the pandemic of COVID-19, over two years have passed. During this hard period, several defies have been coped by the scientific society to know this novel disease, evaluate it, and treat affected patients. All these efforts are done to push back the spread of the virus. This article provides a comprehensive review to learn about the COVID-19 virus and its entry mechanism, its main repercussions on …
The Impact Of Covid-19 On Physical (In)Activity Behavior In 10 Arab Countries., Haleama Al Sabbah, Zainab Taha, Radwan Qasrawi, Enas A Assaf, Leila Cheikh Ismail, Ayesha S Al Dhaheri, Maha Hoteit, Ayoub Al-Jawaldeh, Reema Tayyem, Hiba Bawadi, Majid Alkhalaf, Khlood Bookari, Iman Kamel, Somaia Dashti, Sabika Allehdan, Tariq A Alalwan, Fadwa Hammouh, Mostafa I Waly, Diala Abu Al-Halawa, Rania Mansour, Allam Abu Farha, The Regional Corona Cooking Survey Group ( The Regional Corona Cooking Survey Group (
The Impact Of Covid-19 On Physical (In)Activity Behavior In 10 Arab Countries., Haleama Al Sabbah, Zainab Taha, Radwan Qasrawi, Enas A Assaf, Leila Cheikh Ismail, Ayesha S Al Dhaheri, Maha Hoteit, Ayoub Al-Jawaldeh, Reema Tayyem, Hiba Bawadi, Majid Alkhalaf, Khlood Bookari, Iman Kamel, Somaia Dashti, Sabika Allehdan, Tariq A Alalwan, Fadwa Hammouh, Mostafa I Waly, Diala Abu Al-Halawa, Rania Mansour, Allam Abu Farha, The Regional Corona Cooking Survey Group ( The Regional Corona Cooking Survey Group (
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Insufficient physical activity is considered a strong risk factor associated with non-communicable diseases. This study aimed to assess the impact of COVID-19 on physical (in)activity behavior in 10 Arab countries before and during the lockdown. A cross-sectional study using a validated online survey was launched originally in 38 different countries. The Eastern Mediterranean regional data related to the 10 Arabic countries that participated in the survey were selected for analysis in this study. A total of 12,433 participants were included in this analysis. The mean age of the participants was 30.3 (SD, 11.7) years. Descriptive and regression analyses were conducted …
Sel-Covidnet: An Intelligent Application For The Diagnosis Of Covid-19 From Chest X-Rays And Ct-Scans, Ahmad Al Smadi, Ahed Abugabah, Ahmad Mohammad Al-Smadi, Sultan Almotairi
Sel-Covidnet: An Intelligent Application For The Diagnosis Of Covid-19 From Chest X-Rays And Ct-Scans, Ahmad Al Smadi, Ahed Abugabah, Ahmad Mohammad Al-Smadi, Sultan Almotairi
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COVID-19 detection from medical imaging is a difficult challenge that has piqued the interest of experts worldwide. Chest X-rays and computed tomography (CT) scanning are the essential imaging modalities for diagnosing COVID-19. All researchers focus their efforts on developing viable methods and rapid treatment procedures for this pandemic. Fast and accurate automated detection approaches have been devised to alleviate the need for medical professionals. Deep Learning (DL) technologies have successfully recognized COVID-19 situations. This paper proposes a developed set of nine deep learning models for diagnosing COVID-19 based on transfer learning and implementation in a novel architecture (SEL-COVIDNET). In which …
Investigation Of Factors Affecting Covid-19 Vaccine Acceptance Among Communities Of Universities In The United Arab Emirates., Maisa El Gamal, Ayisha Siddiqua, Waheed Kareem Abdul, Badria H Almurshidi, Fares M Howari
Investigation Of Factors Affecting Covid-19 Vaccine Acceptance Among Communities Of Universities In The United Arab Emirates., Maisa El Gamal, Ayisha Siddiqua, Waheed Kareem Abdul, Badria H Almurshidi, Fares M Howari
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The COVID-19 pandemic affected the lives of people living across the world and the development of vaccines against SARS-CoV-2 is considered to be one of the most promising solutions to contain the COVID-19 pandemic. In several countries, we are witnessing hesitancy toward COVID-19 vaccines, which is a complex phenomenon influenced by a variety of factors. A cross-sectional study was performed to comprehensively investigate the impact of factors like demography, COVID-19 pandemic-induced behavior, and vaccine attitude on COVID-19 vaccine acceptance (VA) among communities of five different universities in the United Arab Emirates (UAE). To investigate the effect of demography and COVID-19 …
Outdoor Activity In The Daytime, But Not The Nighttime, Predicts Better Mental Health Status During The Covid-19 Curfew In The United Arab Emirates, Fatme Al Anouti, Justin Thomas, Spyridon Karras, Nour El Asswad
Outdoor Activity In The Daytime, But Not The Nighttime, Predicts Better Mental Health Status During The Covid-19 Curfew In The United Arab Emirates, Fatme Al Anouti, Justin Thomas, Spyridon Karras, Nour El Asswad
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The COVID-19 pandemic and the associated infection prevention and control measures had a negative impact on the mental health of many people. In the United Arab Emirates (UAE), infection control measures implemented after March 24th, 2020, placed necessary restrictions on people's freedom of movement. This study aimed to assess the association between levels of daytime vs. nighttime outdoor activity and mental health among a sample of UAE residents during the lockdown period. An opportunity sample of 245 participants completed an online survey assessing levels of depression, somatic symptoms, daytime and nighttime activity levels. Multivariate logistic regression revealed that daytime activity, …
A Non-Invasive Interpretable Diagnosis Of Melanoma Skin Cancer Using Deep Learning And Ensemble Stacking Of Machine Learning Models, Iftiaz A. Alfi, Mahfuzur Rahman, Mohammad Shorfuzzaman, Amril Nazir
A Non-Invasive Interpretable Diagnosis Of Melanoma Skin Cancer Using Deep Learning And Ensemble Stacking Of Machine Learning Models, Iftiaz A. Alfi, Mahfuzur Rahman, Mohammad Shorfuzzaman, Amril Nazir
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A skin lesion is a portion of skin that observes abnormal growth compared to other areas of the skin. The ISIC 2018 lesion dataset has seven classes. A miniature dataset version of it is also available with only two classes: malignant and benign. Malignant tumors are tumors that are cancerous, and benign tumors are non-cancerous. Malignant tumors have the ability to multiply and spread throughout the body at a much faster rate. The early detection of the cancerous skin lesion is crucial for the survival of the patient. Deep learning models and machine learning models play an essential role in …
Covid-19 And Myocarditis: A Brief Review, Fatma Taher, Athar Eysa, Dalia Fahmy, Ahmed Shalaby, Ali Mahmoud, Moumen El-Melegy, Ahmed Abdel Khalek Abdel Razek, Ayman El-Baz
Covid-19 And Myocarditis: A Brief Review, Fatma Taher, Athar Eysa, Dalia Fahmy, Ahmed Shalaby, Ali Mahmoud, Moumen El-Melegy, Ahmed Abdel Khalek Abdel Razek, Ayman El-Baz
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Cardiovascular complications (especially myocarditis) related to COVID-19 viral infection are not well understood, nor do they possess a well recognized diagnostic protocol as most of our information regarding this issue was derived from case reports. In this article we extract data from all published case reports in the second half of 2020 to summarize the theories of pathogenesis and explore the value of each diagnostic test including clinical, lab, ECG, ECHO, cardiac MRI and endomyocardial biopsy. These tests provide information that explain the mechanism of development of myocarditis that further paves the way for better management.
A Narrative Review Of The Evidence For Variations In Serum 25-Hydroxyvitamin D Concentration Thresholds For Optimal Health, William B. Grant, Fatme Al Anouti, Barbara J. Boucher, Erdinç Dursun, Duygu Gezen-Ak, Edward B. Jude, Tatiana Karonova, Pawel Pludowski
A Narrative Review Of The Evidence For Variations In Serum 25-Hydroxyvitamin D Concentration Thresholds For Optimal Health, William B. Grant, Fatme Al Anouti, Barbara J. Boucher, Erdinç Dursun, Duygu Gezen-Ak, Edward B. Jude, Tatiana Karonova, Pawel Pludowski
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Vitamin D3 has many important health benefits. Unfortunately, these benefits are not widely known among health care personnel and the general public. As a result, most of the world’s population has serum 25-hydroxyvitamin D (25(OH)D) concentrations far below optimal values. This narrative review examines the evidence for the major causes of death including cardiovascular disease, hypertension, cancer, type 2 diabetes mellitus, and COVID-19 with regard to sub-optimal 25(OH)D concentrations. Evidence for the beneficial effects comes from a variety of approaches including ecological and observational studies, studies of mechanisms, and Mendelian randomization studies. Although randomized controlled trials (RCTs) are generally considered …
The Psychological Impact Of Isolation On Hospitalised Patients With Covid-19 Infection In The Uae, Nahida Nayaz Ahmed, Nirmin F. Juber, Reem Alkaabi, Fatema Alshehhi, Mohamed Alobeidli, Ahlam Salem, Alaa Galadari, Shamil Wanigaratne, Amar Ahmad
The Psychological Impact Of Isolation On Hospitalised Patients With Covid-19 Infection In The Uae, Nahida Nayaz Ahmed, Nirmin F. Juber, Reem Alkaabi, Fatema Alshehhi, Mohamed Alobeidli, Ahlam Salem, Alaa Galadari, Shamil Wanigaratne, Amar Ahmad
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Infection prevention and control measures for COVID-19 may include immediate admission to an isolation facility for the infected. However, the mental health impact of this isolation worldwide is not fully documented. This study aims to contribute to global data on the psychological impact of COVID-19 and to be the first study to assess psychological distress among hospitalised patients with COVID-19 in the UAE. Using a cross-sectional study design on 132 hospitalised patients, we found that 90% of participants scored within the normal levels for psychological distress. The length of stay was associated with higher levels of psychological distress and those …
Machine Learning Techniques For Predicting Depression And Anxiety In Pregnant And Postpartum Women During The Covid-19 Pandemic: A Cross-Sectional Regional Study, Radwan Qasrawi, Malak Amro, Stephanny Vicunapolo, Diala Abu Al-Halawa, Hazem Agha, Rania Abu Seir, Maha Hoteit, Reem Hoteit, Sabika Allehdan, Nouf Behzad, Khlood Bookari, Majid Alkhalaf, Haleama Al-Sabbah, Eman Badran, Reema Tayyem
Machine Learning Techniques For Predicting Depression And Anxiety In Pregnant And Postpartum Women During The Covid-19 Pandemic: A Cross-Sectional Regional Study, Radwan Qasrawi, Malak Amro, Stephanny Vicunapolo, Diala Abu Al-Halawa, Hazem Agha, Rania Abu Seir, Maha Hoteit, Reem Hoteit, Sabika Allehdan, Nouf Behzad, Khlood Bookari, Majid Alkhalaf, Haleama Al-Sabbah, Eman Badran, Reema Tayyem
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Background: Maternal depression and anxiety are significant public health concerns that play an important role in the health and well-being of mothers and children. The COVID-19 pandemic, the consequential lockdowns and related safety restrictions worldwide negatively affected the mental health of pregnant and postpartum women. Methods: This regional study aimed to develop a machine learning (ML) model for the prediction of maternal depression and anxiety. The study used a dataset collected from five Arab countries during the COVID-19 pandemic between July to December 2020. The population sample included 3569 women (1939 pregnant and 1630 postpartum) from five countries (Jordan, Palestine, …