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.

ObjectivesOn February 6th, 2023, a doublet earthquake struck Türkiye, impacting more than 15 million people including migrants, and resulting in over 50,000 deaths. The Syrian migrants experience multiple uncertainties in their daily lives which are further compounded by multifaceted challenges of the post-disaster environment. Social media was used intensively and with impunity in this environment and thereby provides a window into the explicit and implicit dynamics of daily life after a disaster. We aimed to explore how a post-disaster environment potentially generates new uncertainties or exacerbating pre-existing ones for migrants through social media analysis with an indirect perspective, in the context of 2023-Earthquake in Türkiye and Syrian migrants.MethodsSocial network analysis was used to analyze Twitter-data with the hashtags ‘Syrian’ and ‘earthquake’ during a 10-day period beginning on March 22nd, 2023. We calculated network metrics, including degree-values and betweenness-centrality and clustered the network to understand groups. We analyzed a combination of 27 tweets with summative content analysis using a text analysis tool, to identify the most frequently used words. We identified the main points of each tweet and assessed these as possible contributors to post-disaster uncertainty among migrants by using inductive reasoning.ResultsThere were 1918 Twitter users, 274 tweets, 124 replies and 1726 mentions. Discussions about Syrian migrants and earthquakes were established across various groups (ngroups(edges > 15) = 16). Certain users had a greater influence on the overall network. The nine most frequently used words were included under uncertainty-related category (nmost_frequently_used_words = 20); ‘aid, vote, house, citizen, Afghan, illegal, children, border, and leave’. Nine main points were identified as possible post-disaster uncertainties among migrants.ConclusionThe post-disaster environment has the potential to exacerbate existing uncertainties, such as being an undocumented migrant, concerns about deportation and housing, being or having a child, inequality of rights between being a citizen and non-citizen, being in minority within minority, political climate of the host nation and access to education or to generate new ones such equitable distribution of aid, which can lead to poor health outcomes. Recognizing the possible post-disaster uncertainties among migrants and addressing probable underlying factors might help to build more resilient and healthy communities.

Background Turkey hosts the world’s largest refugee population of whom 3.5 million are Syrians and this population has been continuously growing since the year 2011. This situation causes various problems, mainly while receiving health-care services. In planning the migrant health-care services, for the policy makers of host countries, health literacy level of migrants is an important measure. Determination of health literacy level of Syrian refugees in Turkey would be supportive for planning some interventions to increase health-care service utilization, as well as health education and health communication programs. An “original health literacy scale” for 18–60 years of age Turkish literate adults (Hacettepe University Health Literacy Scale-HLS) was developed to be used as a reference scale in 2018. Since it would be useful to compare the health literacy levels of Turkish adults with Syrian adult refugees living in Turkey with an originally developed scale, in this study, it was aimed to adapt the HLS-Short Form for Syrian refugees. Methods This methodological study was carried out between the years 2019–2020 in three provinces of Turkey where the majority of Syrians reside. The data was collected by pre-trained, Arabic speaking 12 interviewers and three supervisors via a questionnaire on household basis. At first, the original Scale and questionnaire were translated into Arabic and back translated into the original language. The questionnaire and the Scale were pre-tested among 30 Syrian refugees in Ankara province. A total of 1254 refugees were participated into the main part of the study; 47 health-worker participants were excluded from the validity-reliability analysis. Confirmatory factor analysis (CFA) was performed. Cronbach’s alpha and Spearman–Brown coefficients were calculated. Results Of the participants, 52.9% was male; 26.1% had secondary education level or less; almost half of them had moderate economic level; 27.5% could not speak Turkish. The Cronbach’s Alpha was 0.75, Spearman–Brown Coefficient was 0.76; RMSEA = 0.073, CFI = 0.93, TLI = 0.92 and GFI = 0.95 for the Scale. The Cronbach’s Alpha was 0.76, Spearman–Brown Coefficient was 0.77; RMSEA = 0.085, CFI = 0.93, TLI = 0.91 and GFI = 0.95 for self-efficacy part. Conclusion In conclusion, the adapted HLS would be a reliable instrument to evaluate the health-literacy level of Syrian refugees living in Turkey and could allow for a comparison of the host country’s health literacy level to that of the refugees using the same scale.

Amaç: Bu araştırma, bir üniversitede, akademik kariyer yapma ile toplumsal cinsiyet arasındaki ilişkinin incelenmesi amacıyla yürütülmüştür. Yöntem: Araştırma, Ankara’da bir üniversitede çalışan akademisyenler ile gerçekleştirilmiş olup tanımlayıcı niteliktedir. Araştırmada herhangi bir örnekleme yöntemi kullanılmamış, e-posta ile 68 sorudan oluşan çevrimiçi veri toplama formu akademisyenlere gönderilmiştir. Toplanan veriler, SPSS 23 istatistik programında tanımlayıcı testler, parametrik ve non-parametrik hipotez testleri ile değerlendirilmiştir. Bulgular: Araştırmaya, %43’ü araştırma görevlisi olan 117 kadın, 43 erkek akademisyen katılmıştır. Katılımcıların, %69’u akademik yaşamında ayrımcılığın en az bir türüne maruz kaldığını belirtmiştir. Kadınların %66,4’ü akademide kadın olmanın dezavantaj olduğu düşüncesindedir. Hane içi iş yükünde mutfak işlerine ve temizlik işlerine ayrılan süre kadınlarda erkeklere göre anlamlı derecede fazladır (p

When we consider a probability distribution about how many COVID-19 infected people will transmit the disease, two points become important. First, there should be super-spreaders in these distributions/networks and secondly, the Pareto principle should be valid in these distributions/networks. 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 secondly 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.