Twitter is a useful source for detecting anti-vaccine content due to the increasing prevalence of these arguments on social media. We aimed to identify the prominent themes about vaccine hesitancy and refusal on social media posts in Turkish during the COVID-19 pandemic. In this qualitative study, we collected public tweets (n = 551,245) that contained a vaccine-related keyword and had been published between 9 December 2020 and 8 January 2021 through the Twitter API. A random sample of tweets (n = 1041) was selected and analyzed by four researchers with the content analysis method. We found that 90.5% of the tweets were about vaccines, 22.6% (n = 213) of the tweets mentioned at least one COVID-19 vaccine by name, and the most frequently mentioned COVID-19 vaccine was CoronaVac (51.2%). We found that 22.0% (n = 207) of the tweets included at least one anti-vaccination theme. Poor scientific processes (21.7%), conspiracy theories (16.4%), and suspicions towards manufacturers (15.5%) were the most frequently mentioned themes. The most co-occurring themes were “poor scientific process” with “suspicion towards manufacturers” (n = 9), and “suspicion towards health authorities” (n = 5). This study may be helpful for health managers, assisting them to identify the major concerns of the population and organize preventive measures through the significant role of social media in early spread of information about vaccine hesitancy and anti-vaccination attitudes.
ÖzetÜlkemizde nüfusun giderek yaşlanmakta olduğu ve yaşlıların artan şekilde yaşlı bakımevi ve huzur evlerinde barınacağı düşüncesiyle gerçekleştirilen bu çalışmada; İstanbul'daki Türkiye'nin en eski yaşlı bakımevlerinden birinde yaşayan 65 yaş üstü kişilerin uyku kalitesi ve depresyon durumlarının belirlenmesi amaçlanmıştır. Kesitsel tipteki bu araştırmanın evrenini, yaşlı bakımevinde yaşamakta olan 149 kişi oluşturmaktadır. Araştırmanın verileri, Aralık 2019'da katılımcıların sosyodemografik özellikleri, depresyon durumları (Geriatrik Depresyon Ölçeği 15 Kısa Form-GDÖ15) ve uyku kalitelerini (Pittsburgh Uyku Kalitesi İndeksi-PUKİ) belirlemeye yönelik bir soru formu aracılığı ile 107 kişiden yüz yüze olarak toplandı. Evrenin çalışma grubuna katılım oranı %71,8 olarak bulundu. Çalışmaya katılanların yaş ortalaması 74,06±7,07 olup %69,2'si erkekti. Depresyon belirtilerine sahip olanların oranı %29,0, uyku kalitesi kötü olanların oranı ise %51,4 olarak bulundu. GDÖ-15 depresyon puanı açısından kronik hastalığı olan grupla olmayan grup arasında istatistiksel olarak önemli fark bulunurken (p=0,047), PUKİ skoru açısından bulunmadı. Cinsiyet ve ziyaret edilme durumları açısındansa hem uyku kalitesi hem de depresyon puanı açısından gruplar arasında istatistiksel olarak önemli fark saptanmadı. PUKİ skoru ile GDÖ-15 depresyon puanı arasında pozitif yönde önemli bir korelasyon bulunmakta (r=0,421; p<0,001), uyku kalitesi kötü olanların depresyon puanları da yüksek bulundu.
Background: Vaccine hesitation, which is defined as one of the most important global health threats by World Health Organization, maintains its universal importance during the COVID-19 period. Due to the increasing appearance of anti-vaccine arguments on social media, Twitter is a useful resource in detecting these contents. In this study, we aimed to identify the prominent themes about vaccine hesitancy and refusal on social media during the COVID-19 pandemic. Methods: In this qualitative study we collected Twitter contents which contain a vaccine-related keywords and published publicly between 9/12/2020 and 8/1/2021 (n=551,245). A stratified random sample (n=1041) is selected and analyzed by four researchers with content analysis method. Results: All tweets included in the study were shared from 1,000 unique accounts of which 2.7% were verified and 11.3% organizational users. 90.5% of the tweets were about vaccines, 22.6% (n=213) of the tweets mentioned at least one COVID-19 vaccine name and the most frequently mentioned COVID-19 vaccine was CorronaVac (51.2%). Yet, it was mostly as "Chinese vaccine" (42.3%). 22.0% (n=207) of the tweets included at least one anti-vaccination theme. Among tweets that included an anti-vaccination theme; poor scientific processes (21.7%), conspiracy theories (16.4%), and suspicions towards manufacturers (15.5%) were the most frequently mentioned themes. The most co-occurred themes were "Poor scientific process" theme come along with "suspicion towards manufacturers" (n=9) and "suspicion towards health authorities" (n=5). Conclusions: This study may be helpful for health managers to identify the major concerns of the population and organize the preventive measures, through the significant role of social media on early information about vaccine hesitancy and anti-vaccination attitudes.
Lower respiratory infections are one of the leading factors of death in the world. During the COVID-19 pandemic, pneumonia comes to the fore from respiratory diseases. We aim to close the information gap regarding the characteristics of pneumonia articles published between the years 2016-2020 and indexed in the Web of Science (WoS) database by bibliometric analysis. We collected the data of this study from the articles published in the WoS, during 2016-2020 by using “pneumonia” as the keyword. Articles were found among the "Science Citation Index Expanded" of the WoS advanced search engine including all the titles of organizations, editors, research areas, conferences, and book series. The number of articles included in the study was 24,896. MS Excel, Python, MS Power BI, and Flourish web site were used for data extraction and visualization. This bibliometric analysis showed that while the number of articles published regarding pneumonia was more stable between 2016 and 2019 it has increased dramatically in 2020. The most important reason for this increase should be the COVID-19 pandemic that emerged in the last weeks of 2019. We observed that China has increased its pneumonia-related publications rapidly in recent years.
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