| 1. |
- Ozturkcan, Selcen, Associate Professor, 1977-, et al.
(författare)
-
Framing the Central Bank Digital Currency (CBDC) revolution
- 2022
-
Ingår i: Technology Analysis & Strategic Management. - : Taylor & Francis Group. - 0953-7325 .- 1465-3990.
-
Tidskriftsartikel (refereegranskat)abstract
- As global cooperation to develop and launch CBDCs further unfolds, the revolutionary innovation presents an emerging research field. This paper aims to provide a framework of CBDC by stressing its differences from other available digital currencies and cash in terms of advantages and disadvantages. The CBDC outlook, in its current and future, is presented. Additionally, an exploration of the prevalent themes in a cross-sectional analysis of tweets posted between 17 and 25 March 2021 with the #CBDC hashtags are presented to complement the discussion on the emerging landscape for informing the policy – and decision-makers on the opportunities and challenges involved.
|
|
| 2. |
- Senel, Kerem, et al.
(författare)
-
Instantaneous R for COVID-19 in Turkey : Estimation by Bayesian Statistical Inference
- 2020
-
Ingår i: Turkiye Klinikleri Journal of Medical Sciences. - : Turkiye Klinikleri. - 1300-0292 .- 2146-9040. ; 40:2, s. 127-131
-
Tidskriftsartikel (refereegranskat)abstract
- The instantaneous R in Turkey is estimated by Bayesian statistical inference that utilizes a 68-days-long dataset from the beginning of the COVID-19 outbreak in Turkey for monitoring the progression of the pandemic. As it is also globally adapted, enforced social distancing measures help to keep the instantaneous reproduction number below one. The low levels of instantaneous R are referred to as a basis for several countries to relax their country-wide restrictions, while hindsight involves a possible second wave of infections to follow in China, Germany, and South Korea. Thus, policy and decision-makers need to be vigilant regarding the pandemic's progress. It is not yet sure if it is possible to maintain the instantaneous reproduction number below one, even at the lack of societal measures.
|
|
| 3. |
- Senel, Kerem, et al.
(författare)
-
Single Parameter Estimation Approach for Robust Estimation of SIR Model With Limited and Noisy Data : the case for COVID-19
- 2021
-
Ingår i: Disaster Medicine and Public Health Preparedness. - : Cambridge University Press. - 1935-7893 .- 1938-744X. ; 15:3, s. e8-e22
-
Tidskriftsartikel (refereegranskat)abstract
- The SIR model and its variants are widely used to predict the progress of COVID-19 worldwide, despite their rather simplistic nature. Nevertheless, robust estimation of the SIR model presents a significant challenge, particularly with limited and possibly noisy data in the initial phase of the pandemic. K-means algorithm is used to perform a cluster analysis of the top ten countries with the highest number of COVID-19 cases, to observe if there are any significant differences among countries in terms of robustness. As a result of model variation tests, the robustness of parameter estimates is found to be particularly problematic in developing countries. The incompatibility of parameter estimates with the observed characteristics of COVID-19 is another potential problem. Hence, a series of research questions are visited. We propose a SPE (“Single Parameter Estimation”) approach to circumvent these potential problems if the basic SIR is the model of choice, and we check the robustness of this new approach by model variation and structured permutation tests. Dissemination of quality predictions is critical for policy and decision-makers in shedding light on the next phases of the pandemic.
|
|
| 4. |
- Özdinc, Mesut, et al.
(författare)
-
Predicting the progress of COVID-19 : the case for Turkey
- 2020
-
Ingår i: Turkiye Klinikleri Journal of Medical Sciences. - : Türkiye Klinikleri. - 1300-0292 .- 2146-9040. ; 40:2, s. 117-119
-
Tidskriftsartikel (refereegranskat)abstract
- The SIR model is applied to a dataset of 43 days from the beginning of the COVID-19 pandemic in Turkey. Model outputs regarding the estimates of effective reproduction number and peak date of the maximum number of actively infected are presented. Favorable impact of social distancing measures are observed in comparing model outputs on progressive days. Findings are valuable for policy and decision makers in shedding light on the next phases of the pandemic.
|
|
