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Exploring Post-Covid-19 Health Effects And Features With Advanced Machine Learning Techniques, Muhammad N. Islam, Md S. Islam, Nahid H. Shourav, Iftiaqur Rahman, Faiz A. Faisal, Md M. Islam, Iqbal H. Sarker
Exploring Post-Covid-19 Health Effects And Features With Advanced Machine Learning Techniques, Muhammad N. Islam, Md S. Islam, Nahid H. Shourav, Iftiaqur Rahman, Faiz A. Faisal, Md M. Islam, Iqbal H. Sarker
Research outputs 2022 to 2026
COVID-19 is an infectious respiratory disease that has had a significant impact, resulting in a range of outcomes including recovery, continued health issues, and the loss of life. Among those who have recovered, many experience negative health effects, particularly influenced by demographic factors such as gender and age, as well as physiological and neurological factors like sleep patterns, emotional states, anxiety, and memory. This research aims to explore various health factors affecting different demographic profiles and establish significant correlations among physiological and neurological factors in the post-COVID-19 state. To achieve these objectives, we have identified the post-COVID-19 health factors and …
Leveraging Machine Learning To Analyze Sentiment From Covid-19 Tweets: A Global Perspective, Md Mahbubar Rahman, Nafiz Imtiaz Khan, Iqbal H. Sarker, Mohiuddin Ahmed, Muhammad Nazrul Islam
Leveraging Machine Learning To Analyze Sentiment From Covid-19 Tweets: A Global Perspective, Md Mahbubar Rahman, Nafiz Imtiaz Khan, Iqbal H. Sarker, Mohiuddin Ahmed, Muhammad Nazrul Islam
Research outputs 2022 to 2026
Since the advent of the worldwide COVID-19 pandemic, analyzing public sentiment has become one of the major concerns for policy and decision-makers. While the priority is to curb the spread of the virus, mass population (user) sentiment analysis is equally important. Though sentiment analysis using different state-of-the-art technologies has been focused on during the COVID-19 pandemic, the reasons behind the variations in public sentiment are yet to be explored. Moreover, how user sentiment varies due to the COVID-19 pandemic from a cross-country perspective has been less focused on. Therefore, the objectives of this study are: to identify the most effective …
Deep Learning Augmentation For Medical Image Analysis, Fouzia Altaf
Deep Learning Augmentation For Medical Image Analysis, Fouzia Altaf
Theses: Doctorates and Masters
Deep learning is at the center of the current rise of computer aided diagnosis in medical imaging. This technology has the ability to mimic extremely complex mathematical functions for predictive tasks. These functions are encoded as computational models that are learned directly from data. Deep learning models are known to achieve human-level accuracy for predictive tasks. However, such a performance requires that the model is trained on a huge amount of training data. For computer aided diagnosis tasks, the relevant training data needs to be carefully annotated by medical experts. This process is laborious and expensive, which generally results in …
Covid-19 And Preparing Planetary Health For Future Ecological Crises: Hopes From Glycomics For Vaccine Innovation, Xueqing Wang, Zhaohua Zhong, Wei Wang
Covid-19 And Preparing Planetary Health For Future Ecological Crises: Hopes From Glycomics For Vaccine Innovation, Xueqing Wang, Zhaohua Zhong, Wei Wang
Research outputs 2014 to 2021
A key lesson emerging from COVID-19 is that pandemic proofing planetary health against future ecological crises calls for systems science and preventive medicine innovations. With greater proximity of the human and animal natural habitats in the 21st century, it is also noteworthy that zoonotic infections such as COVID-19 that jump from animals to humans are increasingly plausible in the coming decades. In this context, glycomics technologies and the third alphabet of life, the sugar code, offer veritable prospects to move omics systems science from discovery to diverse applications of relevance to global public health and preventive medicine. In this expert …
Gut Microbiota Interplay With Covid-19 Reveals Links To Host Lipid Metabolism Among Middle Eastern Populations, Mohammad Tahseen Al Bataineh, Andreas Henschel, Mira Mousa, Marianne Daou, Fathimathuz Waasia, Hussein Kannout, Mariam Khalili, Mohd Azzam Kayasseh, Abdulmajeed Alkhajeh, Maimunah Uddin, Nawal Alkaabi, Guan K. Tay, Samuel F. Feng, Ahmed F. Yousef, Habiba S. Alsafar, Uae Covid-19 Collaborative Partnership
Gut Microbiota Interplay With Covid-19 Reveals Links To Host Lipid Metabolism Among Middle Eastern Populations, Mohammad Tahseen Al Bataineh, Andreas Henschel, Mira Mousa, Marianne Daou, Fathimathuz Waasia, Hussein Kannout, Mariam Khalili, Mohd Azzam Kayasseh, Abdulmajeed Alkhajeh, Maimunah Uddin, Nawal Alkaabi, Guan K. Tay, Samuel F. Feng, Ahmed F. Yousef, Habiba S. Alsafar, Uae Covid-19 Collaborative Partnership
Research outputs 2014 to 2021
The interplay between the compositional changes in the gastrointestinal microbiome, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) susceptibility and severity, and host functions is complex and yet to be fully understood. This study performed 16S rRNA gene-based microbial profiling of 143 subjects. We observed structural and compositional alterations in the gut microbiota of the SARS-CoV-2-infected group in comparison to non-infected controls. The gut microbiota composition of the SARS-CoV-2-infected individuals showed an increase in anti-inflammatory bacteria such as Faecalibacterium (p-value = 1.72 × 10–6) and Bacteroides (p-value = 5.67 × 10–8). We also revealed a higher relative abundance of the highly …
A Blockchain-Based Authentication Protocol For Cooperative Vehicular Ad Hoc Network, A. F. M. S. Akhter, Mohiuddin Ahmed, A. F. M. S. Shah, Adnan Anwar, A. S. M. Kayes, Ahmet Zengin
A Blockchain-Based Authentication Protocol For Cooperative Vehicular Ad Hoc Network, A. F. M. S. Akhter, Mohiuddin Ahmed, A. F. M. S. Shah, Adnan Anwar, A. S. M. Kayes, Ahmet Zengin
Research outputs 2014 to 2021
The efficiency of cooperative communication protocols to increase the reliability and range of transmission for Vehicular Ad hoc Network (VANET) is proven, but identity verification and communication security are required to be ensured. Though it is difficult to maintain strong network connections between vehicles because of there high mobility, with the help of cooperative communication, it is possible to increase the communication efficiency, minimise delay, packet loss, and Packet Dropping Rate (PDR). However, cooperating with unknown or unauthorized vehicles could result in information theft, privacy leakage, vulnerable to different security attacks, etc. In this paper, a blockchain based secure and …
Recovery Agenda For Sustainable Development Post Covid-19 At The Country Level: Developing A Fuzzy Action Priority Surface, Meisam Ranjbari, Zahra S. Esfandabadi, Simone D. Scagnelli, Peer O. Siebers, Francesco Quatraro
Recovery Agenda For Sustainable Development Post Covid-19 At The Country Level: Developing A Fuzzy Action Priority Surface, Meisam Ranjbari, Zahra S. Esfandabadi, Simone D. Scagnelli, Peer O. Siebers, Francesco Quatraro
Research outputs 2014 to 2021
As a response to the urgent call for recovery actions against the COVID-19 crisis, this research aims to identify action priority areas post COVID-19 toward achieving the targets of the sustainable development goals (SDGs) within the 2030 Agenda for Sustainable Development launched by the United Nations (UN). This paper applies a mixed-method approach to map the post-COVID-19 SDGs targets on a fuzzy action priority surface at the country level in Iran, as a developing country, by taking the following four main steps: (1) using a modified Delphi method to make a list of the SDGs targets influenced by COVID-19; (2) …
Kynurenic Acid May Underlie Sex-Specific Immune Responses To Covid-19, Yuping Cai, Daniel J. Kim, Takehiro Takahashi, David I. Broadhurst, Hong Yan, Shuangge Ma, Nicholas J. W. Rattray, Arnau Casanovas-Massana, Benjamin Israelow, Jon Klein, Carolina Lucas, Tianyang Mao, Adam J. Moore, M. Catherine Muenker, Ji Eun Oh, Julio Silva, Patrick Wong, Albert I. Ko, Sajid A. Khan, Akiko Iwasaki, Caroline H. Johnson, Yale Impact Research Team
Kynurenic Acid May Underlie Sex-Specific Immune Responses To Covid-19, Yuping Cai, Daniel J. Kim, Takehiro Takahashi, David I. Broadhurst, Hong Yan, Shuangge Ma, Nicholas J. W. Rattray, Arnau Casanovas-Massana, Benjamin Israelow, Jon Klein, Carolina Lucas, Tianyang Mao, Adam J. Moore, M. Catherine Muenker, Ji Eun Oh, Julio Silva, Patrick Wong, Albert I. Ko, Sajid A. Khan, Akiko Iwasaki, Caroline H. Johnson, Yale Impact Research Team
Research outputs 2014 to 2021
Coronavirus disease 2019 (COVID-19) has poorer clinical outcomes in males than in females, and immune responses underlie these sex-related differences. Because immune responses are, in part, regulated by metabolites, we examined the serum metabolomes of COVID-19 patients. In male patients, kynurenic acid (KA) and a high KA–to–kynurenine (K) ratio (KA:K) positively correlated with age and with inflammatory cytokines and chemokines and negatively correlated with T cell responses. Males that clinically deteriorated had a higher KA:K than those that stabilized. KA inhibits glutamate release, and glutamate abundance was lower in patients that clinically deteriorated and correlated with immune responses. Analysis of …
Association Between Community-Based Self-Reported Covid-19 Symptoms And Social Deprivation Explored Using Symptom Tracker Apps: A Repeated Cross-Sectional Study In Northern Ireland, Jennifer M. Mckinley, David Cutting, Neil Anderson, Conor Graham, Brian Johnston, Ute Mueller, Peter M. Atkinson, Hugo Van Woerden, Declan T. Bradley, Frank Kee
Association Between Community-Based Self-Reported Covid-19 Symptoms And Social Deprivation Explored Using Symptom Tracker Apps: A Repeated Cross-Sectional Study In Northern Ireland, Jennifer M. Mckinley, David Cutting, Neil Anderson, Conor Graham, Brian Johnston, Ute Mueller, Peter M. Atkinson, Hugo Van Woerden, Declan T. Bradley, Frank Kee
Research outputs 2014 to 2021
Objectives: The aim of the study was to investigate the spatial and temporal relationships between the prevalence of COVID-19 symptoms in the community-level and area-level social deprivation. Design: Spatial mapping, generalised linear models, using time as a factor and spatial-lag models were used to explore the relationship between self-reported COVID-19 symptom prevalence as recorded through two smartphone symptom tracker apps and a range of socioeconomic factors using a repeated cross-sectional study design. Setting: In the community in Northern Ireland, UK. The analysis period included the earliest stages of non-pharmaceutical interventions and societal restrictions or 'lockdown' in 2020. Participants: Users of …
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 …
Nested Ecology And Emergence In Pandemics, Aaron Jenkins, Stacy D. Jupiter, Anthony Capon, Pierre Horwitz, Joel Negin
Nested Ecology And Emergence In Pandemics, Aaron Jenkins, Stacy D. Jupiter, Anthony Capon, Pierre Horwitz, Joel Negin
Research outputs 2014 to 2021
No abstract provided.