WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/6
Browse
4 results
Search Results
Article Citation - WoS: 3Citation - Scopus: 3Psychological Distress Among Students in Egypt and Jordan During the Initial Months of the Gaza War(Springernature, 2024) Hendawy, Mohamed; Abouzid, Mohamed; Gamal, Aliaa; Ghanayem, Aseel; Amer, Muna; Tanashat, Mohammad; Ibrahim, Ismail A.BackgroundPsychological distress has significantly impacted students in Egypt and Jordan. These countries have faced many challenges, including the COVID-19 pandemic, the fallout from the conflict in Syria, and the war in Ukraine. These crises have had far-reaching consequences, affecting the economy, food security, and energy supplies, particularly with the increased number of refugees in these countries. Amid these existing complexities, the ongoing war in Gaza further exacerbates the situation, compounding mental health challenges. Therefore, this study aimed to analyze how the war in Gaza impacted the mental health of students in Egypt and Jordan. MethodsWe conducted a cross-sectional study involving students from Egypt and Jordan between December 2023 and January 2024. The questionnaire incorporated the Brief Symptom Inventory 18 (BSI-18) to assess the overall general distress score, as well as the domains of anxiety, somatization, and depression. ResultsA total of 1509 Jordanian and Egyptian students were included in the study, of which 66% were female. Approximately 18% of the students had an elevation (>= 50) in their BSI-18 total score. Females scored significantly higher in general distress [30 (18-44.25) vs. 24 (11-41), p < 0.001], and all three dimensions. The univariate predictors for elevated general distress (>= 50) were being Egyptian (OR 1.49, 95% CI 1.08 to 2.08, p = 0.014), watching social media multiple times a day (OR 3.04, 95% CI 1.97 to 4.69, p < 0.001), and having a Palestinian connection (friend, neighbor, colleague, or relative) (OR 1.63, 95% CI 1.23 to 2.16, p < 0.001). These three predictors were retained in the backward stepwise multivariate regression analysis model. The univariate predictors for moderate and marked general distress (>= 57) were watching social media multiple times a day (OR 3.26, 95% CI 1.78 to 5.99, p < 0.001) and having a Palestinian connection (OR 1.49, 95% CI 1.05 to 2.14, p = 0.026). Only the former was retained in the backward stepwise multivariate regression analysis. ConclusionGeneral distress has increased among students in Egypt and Jordan throughout the War in Gaza. Mental, psychological, and social support activities are necessary for these students, particularly those watching social media multiple times daily. The development of coping skills to manage the additional stressors of war and socioeconomic status necessitates further research within this group of students.Article Citation - WoS: 2Citation - Scopus: 2Global Health Emergencies During the Pandemic and Their Solutions(Tubitak Scientific & Technological Research Council Turkey, 2021) Sencan, Irfan; Bulut, Dilek; Agalar, Canan; Sencan, Ismail HakkiAbstract: In this review, we evaluated health care problems, which were not common before pandemic outbreak but have been common issues after its appereance and approaches to control pandemic considering its influences on people. We revised current health care developing approaches under the light of experience obtained throughout the pandemic so far. The aim is to be prepared in advance for possible upcoming pandemics. As in Covid 19 pandemics, such long lasting and widely affecting situations, durability is also very important together with flexibility and quickness. To provide durability, we need global policies taking the health to its center as well as health system policies.Key words: Covid-19, health system, emergency, crisis, vulnerability, durabilityArticle Citation - WoS: 7Citation - Scopus: 7Drawing Transmission Graphs for Covid-19 in the Perspective of Network Science(Cambridge Univ Press, 2020) Gursakal, N.; Batmaz, B.; Aktuna, G.When we consider a probability distribution about how many COVID-19-infected people will transmit the disease, two points become important. First, there could be super-spreaders in these distributions/networks and second, the Pareto principle could be valid in these distributions/networks regarding estimation that 20% of cases were responsible for 80% of local transmission. When we accept that these two points are valid, the distribution of transmission becomes a discrete Pareto distribution, which is a kind of power law. Having such a transmission distribution, then we can simulate COVID-19 networks and find super-spreaders using the centricity measurements in these networks. In this research, in the first we transformed a transmission distribution of statistics and epidemiology into a transmission network of network science and second we try to determine who the super-spreaders are by using this network and eigenvalue centrality measure. We underline that determination of transmission probability distribution is a very important point in the analysis of the epidemic and determining the precautions to be taken.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.