Search
Now showing items 1-10 of 20
Psychological correlates of COVID-19 conspiracy beliefs and preventive measures: Evidence from Turkey
(Springer, 2020)
COVID-19 pandemic has led to popular conspiracy theories regarding its origins and widespread concern over the level of compliance with preventive measures. In the current preregistered research, we recruited 1088 Turkish ...
Drug repurposing for coronavirus (COVID-19): in silico screening of known drugs against coronavirus 3CL hydrolase and protease enzymes
(TAYLOR & FRANCIS LTD, 2020)
In December 2019, COVID-19 epidemic was described in Wuhan, China, and the infection has spread widely affecting hundreds of thousands. Herein, an effort was made to identify commercially available drugs in order to repurpose ...
On the Time Shift Phenomena in Epidemic Models
(Frontiers Media Sa, 2020)
In the standard Susceptible-Infected-Removed (SIR) and Susceptible-Exposed-Infected-Removed (SEIR) models, the peak of infected individuals coincides with the inflection point of removed individuals. Nevertheless, a survey ...
FINANCIAL RESILIENCE TO THE COVID-19 PANDEMIC: THE ROLE OF BANKING MARKET STRUCTURE
(ROUTLEDGE JOURNALS, 2021-03)
This article examines whether differences in banking market structures across countries influence the local stock market resilience to the COVID-19 pandemic. Using a sample of 66 countries for the period January 2020 to ...
What Can We Estimate From Fatality and Infectious Case Data Using the Susceptible-Infected-Removed (SIR) Model? A Case Study of Covid-19 Pandemic
(Frontıers Medıa Sa, 2020)
The rapidly spreading Covid-19 that affected almost all countries, was first reported at the end of 2019. As a consequence of its highly infectious nature, countries all over the world have imposed extremely strict measures ...
Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Data Using Deep Learning: Early Detection of COVID-19 Outbreak in Italy
(Ieee-Inst Electrıcal Electronıcs Engıneers Inc, 2020)
Unsupervised anomaly detection for spatio-temporal data has extensive use in a wide variety of applications such as earth science, traffic monitoring, fraud and disease outbreak detection. Most real-world time series data ...
The effects of prolactin on the immune system, its relationship with the severity of COVID-19, and its potential immunomodulatory therapeutic effect
(Academic Press Ltd- Elsevier Science Ltd, 2023)
Prolactin (PRL) is an endocrine hormone secreted by the anterior pituitary gland that has a variety of physiological effects, including milk production, immune system regulation, and anti-inflammatory effects. Elevated ...
Spontaneous Past and Future Thinking About the COVID-19 Pandemic Across 14 Countries: Effects of Individual and Country-Level COVID-19 Impact Indicators
(Amer Psychological Assoc, 2022)
In 2020, the world was amid a global health crisis-the COVID-19 pandemic. Nations had varying levels of morbidity and mortality and adopted different measures to prevent the spread of infection. Effects of the pandemic on ...
Health and Hygiene as a Factor of Destination Competitiveness: A Comparative Study Using Synchronic and Diachronic Data
(Routledge Journals, Taylor & Francis Ltd, 2023)
Health and hygiene is a provision of conditions to maintain public health, and make tourists feel safer and tourism destinations become more competitive. The existing research has been conceptual or critical, and scarce ...
Negotiating interdisciplinary practice under the COVID-19 crisis: opportunities and challenges for tourism research
(Emerald Group Publishing Ltd, 2022)
Purpose COVID-19 is currently the most serious crisis facing the world, and scholars in the medical and social sciences are working to save lives and mitigate the societal effects of the pandemic. This global public health ...