WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/6

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  • Review
    Citation - WoS: 1
    Update on the First Year of Covid-19
    (Galenos Publ House, 2021) Kahraman Kilbas, Elmas Pinar; AltindIS, Mustafa; Yilancioglu, Kaan; TekIn, Ishak Ozel; Buran, Duran; Ozkan, Secil; Ilhan, Mustafa Necmi
    The current outbreak of the Coronavirus, severe acute respiratory syndrome Coronavirus-2, which originated in the Wuhan province of the People's Republic of China became a pandemic. Although the clinical findings of the infection vary in adults, the most common symptoms are fever, dry cough, and shortness of breath. The diagnosis of the Coronavirus disease-2019 (COVID-19) is made by clinical symptoms, laboratory tests, and radiological methods. Many drugs such as antivirals, antibiotics, and corticosteroids are used in the treatment of COVID-19. For the successful control of the pandemic, prevention strategies are the key. There is strong consensus that, in addition to wearing masks, hand hygiene, and social distancing, an effective COVID-19 vaccine is probably the most effective approach to sustainably control the pandemic. In this article, current information about the pathogenesis, epidemiology, risk groups, diagnosis, treatment, prevention strategies, and vaccination of the disease in the first year of the COVID-19 pandemic are discussed.
  • Article
    Saliva in the Diagnosis of Covid-19
    (Galenos Publ House, 2021) Kilbas, Elmas Pinar Kahraman; Altindis, Mustafa; Kahraman Kilbaş, Elmas Pinar
    The use of saliva samples for the diagnosis of severe acute respiratory syndrome-Coronavirus-2 (SARS-CoV-2) provides several advantages over the use of nasopharyngeal (NP) swabs, such as comfort, ease of self-collection, less use of personal protective equipment, and protection of healthcare personnel from transmission. This review included current studies using saliva samples for the detection of SARS-CoV-2, comparing its sensitivity, cycle threshold, and specificity with those of NP swab. In the literature, the sensitivity rates of saliva samples in the diagnosis of SARS-CoV-2 ranged from 70% to 98%. Despite different opinions, we concluded that saliva is a reliable sample for the detection of SARS-CoV-2. However, studies with large samples and comparing different diagnostic methods are needed to reach precise and reliable results and include saliva collection in diagnostic guidelines.
  • Article
    Citation - WoS: 32
    Citation - Scopus: 31
    The Dramatic Increase in Anti-Vaccine Discourses During the Covid-19 Pandemic: a Social Network Analysis of Twitter
    (Taylor & Francis inc, 2022) Durmaz, Nihal; Hengirmen, Engin
    Background/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.