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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 ...
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 ...
Machine learning applications for COVID-19 outbreak management
(Springer London Ltd, 2022)
Recently, the COVID-19 epidemic has resulted in millions of deaths and has impacted practically every area of human life. Several machine learning (ML) approaches are employed in the medical field in many applications, ...
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 ...
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 ...
Contagion of fear: Is the impact of COVID-19 on sovereign risk really indiscriminate?
(Wiley, 2021)
This paper investigates the impact of infectious diseases on the evolution of sovereign credit default swap (CDS) spreads for a panel of 77 countries. Using annual data over 2004-2020, we find that infectious-disease ...
The effect of weekend curfews on epidemics: a Monte Carlo simulation
(Tubitak Scientific & Technical Research Council Turkey, 2021)
The ongoing COVID-19 pandemic is being responded with various methods, applying vaccines, experimental treatment options, total lockdowns or partial curfews. Weekend curfews are among the methods for reducing the number ...