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Full-Text Articles in Medicine and Health Sciences
Detect Schools Study Protocol: A Prospective Observational Cohort Surveillance Study Investigating The Impact Of Covid-19 In Western Australian Schools, Marianne J. Mullane, Hannah M. Thomas, Melanie Epstein, Joelie Mandzufas, Narelle Mullan, Alexandra Whelan, Karen Lombardi, Tina Barrow, Sherlynn Ang, Adele Leahy, Ewan Cameron, Leanne Lester, Matt Cooper, Paul Stevenson, Mitch Hartman, Anne Mckenzie, Francis Mitrou, Stephen R. Zubrick, Juli Coffin, Donna Cross, Asha C. Bowen, Peter Gething
Detect Schools Study Protocol: A Prospective Observational Cohort Surveillance Study Investigating The Impact Of Covid-19 In Western Australian Schools, Marianne J. Mullane, Hannah M. Thomas, Melanie Epstein, Joelie Mandzufas, Narelle Mullan, Alexandra Whelan, Karen Lombardi, Tina Barrow, Sherlynn Ang, Adele Leahy, Ewan Cameron, Leanne Lester, Matt Cooper, Paul Stevenson, Mitch Hartman, Anne Mckenzie, Francis Mitrou, Stephen R. Zubrick, Juli Coffin, Donna Cross, Asha C. Bowen, Peter Gething
Research outputs 2014 to 2021
Introduction: Amidst the evolving COVID-19 pandemic, understanding the transmission dynamics of the SARS-CoV-2 virus is key to providing peace of mind for the community and informing policy-making decisions. While available data suggest that school-aged children are not significant spreaders of SARS-CoV-2, the possibility of transmission in schools remains an ongoing concern, especially among an aging teaching workforce. Even in low-prevalence settings, communities must balance the potential risk of transmission with the need for students' ongoing education. Through the roll out of high-throughput school-based SARS-CoV-2 testing, enhanced follow-up for individuals exposed to COVID-19 and wellbeing surveys, this study investigates the dynamics …
A Novel Augmented Deep Transfer Learning For Classification Of Covid-19 And Other Thoracic Diseases From X-Rays, Fouzia Atlaf, Syed M. S. Islam, Naeem K. Janjua
A Novel Augmented Deep Transfer Learning For Classification Of Covid-19 And Other Thoracic Diseases From X-Rays, Fouzia Atlaf, Syed M. S. Islam, Naeem K. Janjua
Research outputs 2014 to 2021
Deep learning has provided numerous breakthroughs in natural imaging tasks. However, its successful application to medical images is severely handicapped with the limited amount of annotated training data. Transfer learning is commonly adopted for the medical imaging tasks. However, a large covariant shift between the source domain of natural images and target domain of medical images results in poor transfer learning. Moreover, scarcity of annotated data for the medical imaging tasks causes further problems for effective transfer learning. To address these problems, we develop an augmented ensemble transfer learning technique that leads to significant performance gain over the conventional transfer …
Covid-19 Disease Severity And Death In Relation To Vitamin D Status Among Sars-Cov-2-Positive Uae Residents, Habiba Alsafar, William B. Grant, Rafiq Hijazi, Maimunah Uddin, Nawal Alkaabi, Guan Tay, Bassam Mahboub, Fatme Al Anouti
Covid-19 Disease Severity And Death In Relation To Vitamin D Status Among Sars-Cov-2-Positive Uae Residents, Habiba Alsafar, William B. Grant, Rafiq Hijazi, Maimunah Uddin, Nawal Alkaabi, Guan Tay, Bassam Mahboub, Fatme Al Anouti
Research outputs 2014 to 2021
Insufficient blood levels of the neurohormone vitamin D are associated with increased risk of COVID-19 severity and mortality. Despite the global rollout of vaccinations and promising preliminary results, the focus remains on additional preventive measures to manage COVID-19. Results conflict on vitamin D’s plausible role in preventing and treating COVID-19. We examined the relation between vitamin D status and COVID-19 severity and mortality among the multiethnic population of the United Arab Emirates. Our observational study used data for 522 participants who tested positive for SARS-CoV-2 at one of the main hospitals in Abu Dhabi and Dubai. Only 464 of those …