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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 …
Audience Preferences For Extension Forestry Zoom Webinars, Kevin W. Zobrist, Brendan J. Whyte
Audience Preferences For Extension Forestry Zoom Webinars, Kevin W. Zobrist, Brendan J. Whyte
The Journal of Extension
The Washington State University Extension Forestry program switched to all online programming in 2020 in response to the COVID-19 pandemic. Over 2,000 people participated in our webinars, providing an opportunity to survey a large audience about their webinar preferences. We found that people prefer webinars that are approximately an hour long and offered in the evening or late morning. Participants placed high importance on having a recording available, but they had mixed views on including video of the instructor speaking. Participants found online delivery to be successful and had a strong preference for online programming in the future.
Analytical And Numerical Analysis Of The Sirs Model, Catherine Nguyen
Analytical And Numerical Analysis Of The Sirs Model, Catherine Nguyen
Student Research Submissions
Mathematical models in epidemiology describe how diseases affect and spread within a population. By understanding the trends of a disease, more effective public health policies can be made. In this paper, the Susceptible-Infected-Recovered-Susceptible (SIRS) Model was examined analytically and numerically to compare with the data for Coronavirus Disease 2019 (COVID-19). Since the SIRS model is a complex model, analytical techniques were used to solve simplified versions of the SIRS model in order to understand general trends that occur. Then by Euler's Method, the Runge-Kutta Method, and the Predictor-Corrector Method, computational approximations were obtained to solve and plot the SIRS model. …
Tools For Biomolecular Modeling And Simulation, Xin Yang
Tools For Biomolecular Modeling And Simulation, Xin Yang
Mathematics Theses and Dissertations
Electrostatic interactions play a pivotal role in understanding biomolecular systems, influencing their structural stability and functional dynamics. The Poisson-Boltzmann (PB) equation, a prevalent implicit solvent model that treats the solvent as a continuum while describes the mobile ions using the Boltzmann distribution, has become a standard tool for detailed investigations into biomolecular electrostatics. There are two primary methodologies: grid-based finite difference or finite element methods and body-fitted boundary element methods. This dissertation focuses on developing fast and accurate PB solvers, leveraging both methodologies, to meet diverse scientific needs and overcome various obstacles in the field.
Navigating Through Chaos, Hoong Chuin Lau
Navigating Through Chaos, Hoong Chuin Lau
Asian Management Insights
How AI and optimisation models can strengthen supply chain resilience.
Implementation Of Digital Health In Addressing Global Threats: Lessons From The Use Of Technology During Covid-19 Pandemic In Indonesia, Naili Shifa, Anisa Tiasari, Kemal N. Siregar
Implementation Of Digital Health In Addressing Global Threats: Lessons From The Use Of Technology During Covid-19 Pandemic In Indonesia, Naili Shifa, Anisa Tiasari, Kemal N. Siregar
Kesmas
This research conducted a systematic literature review to explore the implementation of digital health in Indonesia, focusing on the digital health policies, usage during the COVID-19 pandemic, benefits, and lessons learned. The study identified 10 relevant journals through database searches and analyzed the trends in publication, productive journals, and top institutions involved in digital health research. The findings revealed an increasing interest in digital health, with a growing number of published articles from 2021 to 2023. ScienceDirect emerged as the most productive journal, followed by PubMed and MDPI. The University of Indonesia and the University of Gajah Mada were the …
Virgin Coconut Oil (Vco) Supplementation Relieves Symptoms And Inflammation Among Covid-19 Positive Adults: A Single-Blind Randomized Trial, Imelda Angeles-Agdeppa, Jacus S. Nacis, Fabian M. Dayrit, Keith V. Tanda
Virgin Coconut Oil (Vco) Supplementation Relieves Symptoms And Inflammation Among Covid-19 Positive Adults: A Single-Blind Randomized Trial, Imelda Angeles-Agdeppa, Jacus S. Nacis, Fabian M. Dayrit, Keith V. Tanda
Chemistry Faculty Publications
A clinical study conducted in 2020 showed that virgin coconut oil (VCO) has been found effective in the rapid relief of COVID-19 symptoms and normalization of the C-reactive protein (CRP) concentration among probable and suspected cases of COVID-19. This present study aimed to validate those results and to evaluate the effects of VCO among COVID-19 patients through a 28-day randomized, single-blind trial conducted among 76 SARS-CoV-2 RT-PCR (reverse transcription-polymerase chain report)-confirmed adults, with VCO given as a COVID-19 adjunct therapy. The results showed that VCO recipients were free from symptoms and had normal CRP concentrations by day 14. In comparison, …
Fitting A Covid-19 Model Incorporating Senses Of Safety And Caution To Local Data From Spartanburg County, South Carolina, D. Chloe Griffin, Amanda Mangum
Fitting A Covid-19 Model Incorporating Senses Of Safety And Caution To Local Data From Spartanburg County, South Carolina, D. Chloe Griffin, Amanda Mangum
CODEE Journal
Common mechanistic models include Susceptible-Infected-Removed (SIR) and Susceptible-Exposed-Infected-Removed (SEIR) models. These models in their basic forms have generally failed to capture the nature of the COVID-19 pandemic's multiple waves and do not take into account public policies such as social distancing, mask mandates, and the ``Stay-at-Home'' orders implemented in early 2020. While the Susceptible-Vaccinated-Infected-Recovered-Deceased (SVIRD) model only adds two more compartments to the SIR model, the inclusion of time-dependent parameters allows for the model to better capture the first two waves of the COVID-19 pandemic when surveillance testing was common practice for a large portion of the population. We find …
Fostering Corporate Resilience: Assessing Risk Management Committee Effectiveness In Malaysia’S Telecommunication And Media Sector Pre- And During The Covid-19, Flicia Rimin, Siti Rahayu Beli, Anastasiah Harbi, Imbarine Bujang, Jamaliah Said
Fostering Corporate Resilience: Assessing Risk Management Committee Effectiveness In Malaysia’S Telecommunication And Media Sector Pre- And During The Covid-19, Flicia Rimin, Siti Rahayu Beli, Anastasiah Harbi, Imbarine Bujang, Jamaliah Said
ASEAN Journal on Science and Technology for Development
The COVID-19 pandemic has significantly impacted organizations, underscoring the critical role of financial factors in determining performance. Maintaining a healthy financial stance during crises necessitates effective risk management, prompting the exploration of a Risk Management Committee (RMC) as a focal point for addressing risk issues and managing internal controls. A study spanning 2017 to 2021 assessed 11 listed companies in the Telecommunication and Media Sector, revealing that a combined RMC did not enhance financial performance, indicating its ineffectiveness during the crisis. The study advocates for a separate risk management committee due to the audit committee’s limitations in performing both functions. …