WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/6
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Article Citation - WoS: 25I'm a Hero, but Horizontal Ellipsis : an Evaluation of Depression, Anxiety, and Stress Levels of Frontline Healthcare Professionals During Covid-19 Pandemic in Turkey(Wiley, 2021) Alan, Handan; Eskin Bacaksiz, Feride; Tiryaki Sen, Hanife; Taskiran Eskici, Gulcan; Gumus, Emel; Harmanci Seren, Arzu K.Purpose It was aimed to evaluate depression, anxiety, stress symptoms of health professionals during the COVID-19 pandemic and to reveal the risk factors. Design and Methods Four hundred and sixteen professionals participated in this study. Data were collected online by Depression-Anxiety-Stress Scale. Findings A statistically significant, positive relationship was determined between professionals' perceptions of COVID-19 risk and scale scores. Practice Implications The professionals involved in the struggle against the COVID-19 have high levels of depression, anxiety, stress. It is recommended to revise the content to enable individuals to increase skills in coping with similar situations and to take measures to protect their health.Article Citation - WoS: 32Citation - Scopus: 31The Dramatic Increase in Anti-Vaccine Discourses During the Covid-19 Pandemic: a Social Network Analysis of Twitter(Taylor & Francis inc, 2022) Durmaz, Nihal; Hengirmen, EnginBackground/Aim The first case of COVID-19 in Turkey was officially recorded on March 11, 2020. Social media use increased worldwide, as well as in Turkey, during the pandemic, and conspiracy theories/fake news about medical complications of vaccines spread throughout the world. The aim of this study was to identify community interactions related to vaccines and to identify key influences/influencers before and after the pandemic using social network data from Twitter. Materials and methods Two datasets, including tweets about vaccinations before and after COVID-19 in Turkey, were collected. Social networks were created based on interactions (mentions) between Twitter users. Users and their influence were scored based on social network analysis and parameters that included in-degree and betweenness centrality. Results In the pre-COVID-19 network, media figures and authors who had anti-vaccine views were the most influential users. In the post-COVID-19 network, the Turkish minister of health, the was the most influential figure. The vaccine network was observed to be growing rapidly after COVID-19, and the physicians and authors who had opinions about mandatory vaccinations received a great deal of reaction. One-way communication between influencers and other users in the network was determined. Conclusions This study shows the effectiveness and usefulness of large social media data for understanding public opinion on public health and vaccination in Turkey. The current study was completed before the implementation of the COVID-19 vaccine in Turkey. We anticipated that social network analysis would help reduce the "infodemic" before administering the vaccine and would also help public health workers act more proactively in this regard.