ABSTRACT
Objective. The objective of this study was to evaluate the cases of COVID-19 infection in people >18 years old and to investigate attitudes against vaccination and vaccine hesitancy and the factors affecting them. Methods. The data collection form used in the study was prepared by the researchers by screening the relevant literature. People over the age of 18 who agreed to participate in the study were invited to the family health center, and a questionnaire was applied by face-to-face interview method. The application time of a survey was 5-10 minutes. A total of 229 people were reached. Percentage of reaching was 95,4%. Results. The mean age of the participants was 44,13+/-14,18 years. 31,9% of the participants in the study had COVID-19 infections. 69,9% of those who had COVID-19 infection caught the disease in the last year, and 93,2% were followed at home. Among the people with whom the participants lived, 21,6% of those who had COVID-19 infection were hospitalized and 5,7% died. Of the participants who expressed their opinion, 32,1% think that COVID-19 vaccines have serious side effects. Postvaccine side effects developed in 32,9% of the participants who had the COVID-19 vaccine, and 11,0% had a postvaccine infection. Conclusion. The results of our study revealed that the COVID-19 vaccine was highly accepted among the adult population in Turkey during the pandemic period. However, through this study, we found concerns about the side effects of the vaccine, the lack of confidence in the vaccine ingredient, and the effectiveness of the vaccine. Copyright © 2022 Volkan Medeni and Irem Medeni.
ABSTRACT
Today, there are constant changes in terms of securities in stock markets. In these stock market investments, investors use fundamental analysis tools and indicators very widely. In this way, it is possible to have some knowledge of the situations experienced in the markets and to make a profit. In this study, manipulations on Bitcoin are discussed. Popular machine and statistical forecasting methods have been used to detect these manipulations and the road maps to be followed in order to be detected in the most successful way have been shared. Social media sentiments, which were thought to have an effect on manipulations during the studies, were also evaluated with the most advanced text analysis methods and evaluated together with these price changes. The allegations that the prediction methods carried out before the crisis were more successful were investigated. The Covid-19 pandemic was evaluated as a period of global crisis and the studies that might be relevant were examined. It would not be wrong to say that the actors that make big gains in the stock markets are the ones that determine the direction of the stock market. The manipulation periods of the market actors to be successful in the virtual money markets have been tried to be verified by various estimation methods. These estimations can achieve up to F1 score of 93% success according to our experimental result. Besides, it is stated that accounts with the highest volume of transactions in the periods, when anomalies were detected, were labeled as potential manipulators. CCBY