A5072332669- COVID-19 epidemiological studies
- Influenza Virus Research Studies
- Sport and Mega-Event Impacts
- COVID-19 Pandemic Impacts
- Sports Analytics and Performance
- Sports, Gender, and Society
- Media Influence and Health
- FinTech, Crowdfunding, Digital Finance
- Digital Platforms and Economics
- Blockchain Technology Applications and Security
- Religious Tourism and Spaces
- Behavioral Health and Interventions
- Anomaly Detection Techniques and Applications
- Mathematical and Theoretical Epidemiology and Ecology Models
- Digital Mental Health Interventions
- Vaccine Coverage and Hesitancy
- Zoonotic diseases and public health
Mimar Sinan Güzel Sanatlar Üniversitesi
2019-2022
Åbo Akademi University
2019-2022
Istanbul University-Cerrahpaşa
2020
Kinetic Art & Technology (United States)
2020
As global cooperation to develop and launch CBDCs further unfolds, the revolutionary innovation presents an emerging research field. This paper aims provide a framework of CBDC by stressing its differences from other available digital currencies cash in terms advantages disadvantages. The outlook, current future, is presented. Additionally, exploration prevalent themes cross-sectional analysis tweets posted between 17 25 March 2021 with #CBDC hashtags are presented complement discussion on...
Corona virus disease 2019 (COVID-19) has proven to be the worst pandemic in modern times terms of both mortality and infectiousness since flu that took place early 20 th century, which is also known as Spanish Flu.First being detected China on December 8, 2019, COVID-19 spread swiftly into other countries continents, eventually led its classification "pandemic" by World Health Organization (WHO) March 12, 2020. 1,2ter first confirmed case Turkey was 11, number cases increased rapidly reached...
The instantaneous R in Turkey is estimated by Bayesian statistical inference that utilizes a 68-days-long dataset from the beginning of COVID-19 outbreak for monitoring progression pandemic. As it also globally adapted, enforced social distancing measures help to keep reproduction number below one. low levels are referred as basis several countries relax their country-wide restrictions, while hindsight involves possible second wave infections follow China, Germany, and South Korea. Thus,...
ABSTRACT Objective: The susceptible-infected-removed (SIR) model and its variants are widely used to predict the progress of coronavirus disease 2019 (COVID-19) worldwide, despite their rather simplistic nature. Nevertheless, robust estimation SIR presents a significant challenge, particularly with limited possibly noisy data in initial phase pandemic. Methods: K-means algorithm is perform cluster analysis top 10 countries highest number COVID-19 cases, observe if there any differences among...
Football has recently developed into a unique sector with complex management and marketing functions, where novel communication technologies are employed. In this paper, we aim to contribute the numerous fields involving emerging European sports literature, social media analytics, digital consumer behaviour. Our purpose is explore Twitter use related football by analysing real-time streamed data in offering longitudinal perspective focusing on 2013 2018 leagues Turkey via of analytics...