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Articles 91 - 104 of 104
Full-Text Articles in Entire DC Network
Ua94/6/1 Covid-19 Diary, Anonymous
Ua94/6/1 Covid-19 Diary, Anonymous
Student/Alumni Personal Papers
COVID-19 diary submitted to WKU Archives by a healthcare worker.
Ua94/6/1 My Story: Wku Women's Basketball's Sandra Skinner, Sandra Skinner
Ua94/6/1 My Story: Wku Women's Basketball's Sandra Skinner, Sandra Skinner
Student/Alumni Personal Papers
My Story is a series of first-person feature articles written by WKU student-athletes. The student-athletes will be telling their own stories in their own words. This article written by women’s basketball redshirt senior Sandra Skinner, whose final season was cut short because of the cancellation of the Conference USA Tournament earlier this month.
Cleveland, Alex - Covid-19 Journal, Alex Cleveland
Cleveland, Alex - Covid-19 Journal, Alex Cleveland
Personal Journals
In this journal, EIU student Alex Cleveland in the Spring 2020 History of Illinois (HIS 3810) documents the beginning period of the pandemic, including initial reactions to the shelter in place order.
2020-03-16 A Message From Chancellor Roth, Paul B. Roth
2020-03-16 A Message From Chancellor Roth, Paul B. Roth
HSC Messages from the Chancellor
No abstract provided.
2020-03-09 A Message From Chancellor Roth, Paul B. Roth
2020-03-09 A Message From Chancellor Roth, Paul B. Roth
HSC Messages from the Chancellor
No abstract provided.
Hidden Heroes: Tales From Caregivers, Part 4, Singapore Management University
Hidden Heroes: Tales From Caregivers, Part 4, Singapore Management University
Social Space
As the COVID-19 pandemic continues to unleash its effects on a global scale, most of us are glued to the news and social media for updates, and bracing ourselves for the impact of the coronavirus on our countries, communities and families. In the face of such uncertainty, it's only normal to feel anxious and afraid. However, if you're holed up at home letting your worries and fears get the better of you, it may be time to slow down and steer yourself into a calmer headspace.
Preparing For Shortages Of Future Covid-19 Drugs: A Data-Based Model For Optimal Allocation, Charlie L. Sy, Kathleen Aviso, Christina D. Cayamanda, Anthony F. Chiu, Rochelle Irene Lucas, Michael Angelo Promentilla, Luis F. Razon, Raymond R. Tan, John Frederick Tapia, Ador Torneo, Aristotle T. Ubando, Derrick Ethelbhert C. Yu
Preparing For Shortages Of Future Covid-19 Drugs: A Data-Based Model For Optimal Allocation, Charlie L. Sy, Kathleen Aviso, Christina D. Cayamanda, Anthony F. Chiu, Rochelle Irene Lucas, Michael Angelo Promentilla, Luis F. Razon, Raymond R. Tan, John Frederick Tapia, Ador Torneo, Aristotle T. Ubando, Derrick Ethelbhert C. Yu
Angelo King Institute for Economic and Business Studies (AKI)
Drugs for the treatment of Covid-19 are currently beign tested, and those that are apporved for use are likely to be in short supply due to the global scale of the pandemic. This policy brief proposes a model for optimally allocating future Covid-19 drugs to patients to minimize deaths under conditions of resource scarcity. A linear programming model is developed that estimates the potential number of deaths that may result from Covid-19 under two scenarios: with antivirals and without antivirals. It takes into account patient risk level, the severity of their symptoms, resource availability in hospitals (i.e. hospital beds, critical …
Arjun Kukreja - Covid-19 Journal, Arjun Kukreja
Arjun Kukreja - Covid-19 Journal, Arjun Kukreja
Personal Journals
EIU History of Illinois (HIS 3810) student outlines personal impressions of the early months of the Covid-19 pandemic.
2020-02-04 A Message From Chancellor Roth, Paul B. Roth
2020-02-04 A Message From Chancellor Roth, Paul B. Roth
HSC Messages from the Chancellor
No abstract provided.
The 5cs Of Beating The Coronavirus Outbreak, David Chan
The 5cs Of Beating The Coronavirus Outbreak, David Chan
Research Collection School of Social Sciences
Practise being calm, cautious, considerate, caring and collectivistic. And use these tools to build up arsenal of psychological defence against the virus threat.
Modeling Epidemics, An Introduction, Shubha Tewari
Modeling Epidemics, An Introduction, Shubha Tewari
Science and Engineering Saturday Seminars
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Group discussion of videos watched – Mainly focus on 3Blue1Brown videos
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Discussion of known facts about Covid-19/SARS-CoV-2
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Joint look at news articles and websites – Discussion of exponential growth
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Introduction to SIR (Susceptible-Infected-Recovered) model
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Excel demonstration of SIR model
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Other models: SEIR, others
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Modeling using python (time-permitting)
Behavioral Changes Without Respiratory Symptoms As A Presenting Sign Of Covid-19 Encephalitis., T. Rebeiz, K. Lim-Hing, S. Khazanehdari, K. Rebeiz
Behavioral Changes Without Respiratory Symptoms As A Presenting Sign Of Covid-19 Encephalitis., T. Rebeiz, K. Lim-Hing, S. Khazanehdari, K. Rebeiz
Journal Articles
The clinical presentation, diagnosis, and treatment of coronavirus disease 2019 (COVID-19) encephalitis are still being characterized. Few case reports describing COVID-19 encephalitis are available in the literature. We present a case of COVID-19 encephalitis who presented with behavioral disturbances without respiratory symptoms.
Health Behaviors And Pandemics, Jay E. Maddock, Anna E. Greer
Health Behaviors And Pandemics, Jay E. Maddock, Anna E. Greer
Public Health Faculty Publications
Human health behaviors are essential to reducing the spread and impact of pandemics. However, most behavioral scientists do not work in the area of pandemics given the infrequency of their occurrences. This editorial examines relevant health behavior theories, in particular the precaution adoption process model, and how these apply to the COVID-19 pandemic.
Start Of Epidemy In A City: Short-Term Forecast Of Covid-19 With Gmdh-Based Algorithms And Official Medical Statistics, Anna Boldyreva, Mikhail Alexandrov, Olexiy Koshulko, Svetland Popova
Start Of Epidemy In A City: Short-Term Forecast Of Covid-19 With Gmdh-Based Algorithms And Official Medical Statistics, Anna Boldyreva, Mikhail Alexandrov, Olexiy Koshulko, Svetland Popova
Conference papers
The sudden onset and quick development of an unknown epidemic may lead to tragic consequences: panic of population due to victims and unpreparedness of authorities for effectively help to population. These circumstances define extremely high requirements to the tools for short-term operational forecast. Namely, such tools should provide reliable results when model of phenomenon is unknown (factors of disease spreading) and data are limited (time series of observations). GMDH-based algorithms just meet these requirements unlike modern differential or advanced statistical models. In this study we test different algorithms from GMDH Shell platform on the example of Covid-19 epidemic in Moscow …