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Full-Text Articles in Medicine and Health Sciences
Public Mental Health Through Social Media In The Post Covid-19 Era, Deepika Sharma, Jaiteg Singh, Babar Shah, Farman Ali, Ahmad Ali Alzubi, Mallak Ahmad Alzubi
Public Mental Health Through Social Media In The Post Covid-19 Era, Deepika Sharma, Jaiteg Singh, Babar Shah, Farman Ali, Ahmad Ali Alzubi, Mallak Ahmad Alzubi
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Social media is a powerful communication tool and a reflection of our digital environment. Social media acted as an augmenter and influencer during and after COVID-19. Many of the people sharing social media posts were not actually aware of their mental health status. This situation warrants to automate the detection of mental disorders. This paper presents a methodology for the detection of mental disorders using micro facial expressions. Micro-expressions are momentary, involuntary facial expressions that can be indicative of deeper feelings and mental states. Nevertheless, manually detecting and interpreting micro-expressions can be rather challenging. A deep learning HybridMicroNet model, based …
Call For Emergency Action To Restore Dietary Diversity And Protect Global Food Systems In Times Of Covid-19 And Beyond: Results From A Cross-Sectional Study In 38 Countries, Maha Hoteit, Reem Hoteit, Ayoub Aljawaldeh, Kathleen Van Royen, Sara Pabian, Paulien Decorte, Isabelle Cuykx, Lauranna Teunissen, Charlotte De Backer, Ina Bergheim, Raphaela Staltner, Amanda Devine, Ros Sambell, Ruth Wallace, Sabika Salem Allehdan, Tariq Abdulkarim Alalwan, Mariam Ahamad Al-Mannai, Gaëlle Ouvrein, Karolien Poels, Heidi Vandebosch, Katrien Maldoy, Christophe Matthys, Tim Smits, Jules Vrinten, Ann Desmet, Nelleke Teughels, Maggie Geuens, Iris Vermeir
Call For Emergency Action To Restore Dietary Diversity And Protect Global Food Systems In Times Of Covid-19 And Beyond: Results From A Cross-Sectional Study In 38 Countries, Maha Hoteit, Reem Hoteit, Ayoub Aljawaldeh, Kathleen Van Royen, Sara Pabian, Paulien Decorte, Isabelle Cuykx, Lauranna Teunissen, Charlotte De Backer, Ina Bergheim, Raphaela Staltner, Amanda Devine, Ros Sambell, Ruth Wallace, Sabika Salem Allehdan, Tariq Abdulkarim Alalwan, Mariam Ahamad Al-Mannai, Gaëlle Ouvrein, Karolien Poels, Heidi Vandebosch, Katrien Maldoy, Christophe Matthys, Tim Smits, Jules Vrinten, Ann Desmet, Nelleke Teughels, Maggie Geuens, Iris Vermeir
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Background: The COVID-19 pandemic has revealed the fragility of the global food system, sending shockwaves across countries' societies and economy. This has presented formidable challenges to sustaining a healthy and resilient lifestyle. The objective of this study is to examine the food consumption patterns and assess diet diversity indicators, primarily focusing on the food consumption score (FCS), among households in 38 countries both before and during the first wave of the COVID-19 pandemic. Methods: A cross-sectional study with 37 207 participants (mean age: 36.70 ± 14.79, with 77 % women) was conducted in 38 countries through an online survey administered …
Machine Learning Techniques For The Identification Of Risk Factors Associated With Food Insecurity Among Adults In Arab Countries During The Covid-19 Pandemic, Radwan Qasrawi, Maha Hoteit, Reema Tayyem, Khlood Bookari, Haleama Al Sabbah, Iman Kamel, Somaia Dashti, Sabika Allehdan, Hiba Bawadi, Mostafa Waly, Mohammed O. Ibrahim, Stephanny Vicuna Polo, Diala Abu Al-Halawa
Machine Learning Techniques For The Identification Of Risk Factors Associated With Food Insecurity Among Adults In Arab Countries During The Covid-19 Pandemic, Radwan Qasrawi, Maha Hoteit, Reema Tayyem, Khlood Bookari, Haleama Al Sabbah, Iman Kamel, Somaia Dashti, Sabika Allehdan, Hiba Bawadi, Mostafa Waly, Mohammed O. Ibrahim, Stephanny Vicuna Polo, Diala Abu Al-Halawa
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BACKGROUND: A direct consequence of global warming, and strongly correlated with poor physical and mental health, food insecurity is a rising global concern associated with low dietary intake. The Coronavirus pandemic has further aggravated food insecurity among vulnerable communities, and thus has sparked the global conversation of equal food access, food distribution, and improvement of food support programs. This research was designed to identify the key features associated with food insecurity during the COVID-19 pandemic using Machine learning techniques. Seven machine learning algorithms were used in the model, which used a dataset of 32 features. The model was designed to …
Dynamics Of A Fractional-Order Delayed Model Of Covid-19 With Vaccination Efficacy, Fathalla A. Rihan, Udhayakumar Kandasamy, Hebatallah J. Alsakaji, Nicola Sottocornola
Dynamics Of A Fractional-Order Delayed Model Of Covid-19 With Vaccination Efficacy, Fathalla A. Rihan, Udhayakumar Kandasamy, Hebatallah J. Alsakaji, Nicola Sottocornola
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In this study, we provide a fractional-order mathematical model that considers the effect of vaccination on COVID-19 spread dynamics. The model accounts for the latent period of intervention strategies by incorporating a time delay τ. A basic reproduction number, R0, is determined for the model, and prerequisites for endemic equilibrium are discussed. The model’s endemic equilibrium point also exhibits local asymptotic stability (under certain conditions), and a Hopf bifurcation condition is established. Different scenarios of vaccination efficacy are simulated. As a result of the vaccination efforts, the number of deaths and those affected have decreased. COVID-19 may not be effectively …
Intelligent Health Care And Diseases Management System: Multi-Day-Ahead Predictions Of Covid-19, Ahed Abugabah, Farah Shahid
Intelligent Health Care And Diseases Management System: Multi-Day-Ahead Predictions Of Covid-19, Ahed Abugabah, Farah Shahid
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The rapidly growing number of COVID-19 infected and death cases has had a catastrophic worldwide impact. As a case study, the total number of death cases in Algeria is over two thousand people (increased with time), which drives us to search its possible trend for early warning and control. In this paper, the proposed model for making a time-series forecast for daily and total infected cases, death cases, and recovered cases for the countrywide Algeria COVID-19 dataset is a two-layer dropout gated recurrent unit (TDGRU). Four performance parameters were used to assess the model’s performance: mean absolute error (MAE), root …
The Impact Of Covid-19 Quarantine On Lifestyle Indicators In The United Arab Emirates, Sharifa Alblooshi, Maryam Alfalasi, Zainab Taha, Farid El Ktaibi, Alia Khalid
The Impact Of Covid-19 Quarantine On Lifestyle Indicators In The United Arab Emirates, Sharifa Alblooshi, Maryam Alfalasi, Zainab Taha, Farid El Ktaibi, Alia Khalid
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Introduction: COVID-19 is a virus that has spread rapidly and brought economic and social crises all around the world. The current study aimed to investigate the impact of COVID-19 quarantine on dietary habits, physical activity, food purchasing, smoking, and sleeping patterns in the United Arab Emirates. Methods: A cross-sectional study was conducted using an online questionnaire between November 1st, 2020 and the end of January 2021. Citizens and residents of the UAE aged ≥ 18 years old were asked to complete an anonymous electronic questionnaire created via Google Forms and distributed on various platforms, such as WhatsApp, Twitter, and email. …
Mechanistic Insight Into The Role Of Vitamin D And Zinc In Modulating Immunity Against Covid-19: A View From An Immunological Standpoint, Nuzhat Ahsan, Mohammad Imran, Yousuf Mohammed, Fatme Al Anouti, Mohammad Idreesh Khan, Tanushree Banerjee, Mohd Adnan, Fauzia Ashfaq, Marek Kieliszek, Syed Amir Ashraf, Afrozul Haq
Mechanistic Insight Into The Role Of Vitamin D And Zinc In Modulating Immunity Against Covid-19: A View From An Immunological Standpoint, Nuzhat Ahsan, Mohammad Imran, Yousuf Mohammed, Fatme Al Anouti, Mohammad Idreesh Khan, Tanushree Banerjee, Mohd Adnan, Fauzia Ashfaq, Marek Kieliszek, Syed Amir Ashraf, Afrozul Haq
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The pathophysiology of coronavirus disease-19 (COVID-19) is characterized by worsened inflammation because of weakened immunity, causing the infiltration of immune cells, followed by necrosis. Consequently, these pathophysiological changes may lead to a life-threatening decline in perfusion due to hyperplasia of the lungs, instigating severe pneumonia, and causing fatalities. Additionally, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection can cause mortality due to viral septic shock, resulting from unrestrained and backfiring immune reactions to the pathogen. Sepsis can cause premature organ failure in COVID-19 patients, as well. Notably, vitamin D and its derivatives and minerals, such as zinc and magnesium, have …