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.

Ülkemizde 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.

Background: As global populations age, promoting the health and well‐being of older adults has become a public health priority. Green spaces—such as parks, gardens, and forests—offer numerous health benefits, including enhanced physical activity, mental well‐being, and social interaction. This study employs a bibliometric analysis to explore global research trends on the relationship between green spaces and older adults’ health. Methods: Data were collected from the Web of Science Core Collection (WoSCC) and Scopus databases, covering the period from 2004 to 2025. A total of 2066 relevant studies were identified and analyzed in terms of publication trends, geographical contributions, key research themes, and influential works. Results: Results indicate a growing body of research, with the United States, China, and Australia emerging as leading contributors. Keyword clustering highlights major research themes, including mental health, built environment, aging in place, and urban planning. Despite increasing recognition of the importance of green spaces for older adults, gaps remain in equitable access, longitudinal studies, and intervention‐based research. Conclusion: The findings emphasize the need for policy‐driven urban planning that not only prioritizes green space accessibility but also addresses equity and supports healthy aging.

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 and 2020 and indexed in the Web of Science (WoS) database by bibliometric analysis. We collected the data for this study from the articles published in the WoS, from 2016 to 2020 by using “pneumonia” as the keyword. Articles were found among the "Science Citation Index Expanded" of the WoS advanced search engine and 24,896 articles that met the criteria were included. MS Excel, Python, MS Power BI, and Flourish website 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. It was seen that the countries that caused this significant increase were the United States of America and China. More than one-fifth of all articles were written in cross-country collaboration. The magnitude of the impact of COVID-19 on pneumonia research has been numerically demonstrated by this bibliometric analysis.

Objective: The infant mortality rate is one of the most important indicators providing information on maternal and infant health. It can be affected by changes of social and environmental factors. The aim of this study is to evaluate infant mortality in 2019 and 2020 years at the local level, considering the beginning of the pandemic period. Methods: The population of this cross-sectional study are infants registered in a district of Istanbul in 2019 and 2020. Infant mortality rates before and during the COVID-19 pandemic were calculated. Antenatal healthcare and delivery practices in addition to the underlying risk factors for infant deaths were identified and compared by the year of mortality. All study data were collected from the district health information system. Results: Fifty-one infant deaths included in the study were residents of the district. Infant mortality rates were calculated as 4.8 and 5.1 per thousand live births for the years 2019 and 2020. Neonatal mortality rates were 3.9 and 2.7; postneonatal mortality rates were 0.9 and 2.4 per thousand live births, respectively by the years. No statistically significant difference was found between maternal and infant characteristics of the two years. The number of pregnancy follow-up records was significantly higher for the infants that died in 2020 compared to 2019. Yet, there wasn’t any difference in number of prenatal physician visits. Conclusion: Increase in the infant mortality rate during the pandemic compared to the pre-pandemic period is due to postneonatal mortality. The increase in postneonatal mortality is related to deaths caused by infections. This finding should be investigated with the healthcare accessibility and other characteristics of the infants. Our experience during the study revealed a room for improvement in access to data on always-important public health indicators, which would support evidence-based decision-making even in difficult times.