Health studies are important for the evaluation of health services and the improvement of poor conditions as well as for the determination of the development levels of countries. The purpose of this study was to demonstrate the spatial patterns of infant mortality, which is considered an indicator of health conditions, in Turkey between 2011 and 2016. The existence of global autocorrelation was first studied using the infant mortality rate, the standardised mortality ratio, and the infant mortality rate which was corrected by Bayes smoothers. Local spatial autocorrelation analysis was performed to determine statistically significant hot spots or clusters in infant mortality. It was determined that the spatial distribution between 2011 and 2016 was not coincidental, and aggregation tendency and spatial dependence were observed in the data. According to local spatial statistics, spatial differences of South-eastern Anatolia and Eastern Anatolia regions appeared in Turkey in terms of infant mortality. Furthermore, the factors related to the infant mortality rate were considered. It was found that the age of marriage for women, the net schooling rates of females in secondary education, the number of midwives, and the gross domestic product (GDP) were related to infant mortality rates. It is important to determine different associated factors in the provinces with high infant mortality rates found in this study and to develop an understanding of what can be done to prevent infant mortality in the future. In the South-eastern Anatolia and Eastern Anatolia regions, it is necessary to produce and implement policies with the scope of reducing the infant mortality rate.

Crimean-Congo hemorrhagic fever virus (CCHFV) has been observing since 2002 and 2015 in Turkey and Adana, respectively. However, there were no previous seroepidemiological data on CCHFV in Adana. This study, thus, aimed to investigate the seroepidemiological status of Adana province for CCHFV in ruminants, according to species, breed, age, gender and geographical location. The study was carried out in 15 districts from sea level to plateaus (0-1472 m), within a 14,030 km² area. 485 samples were tested with modified anti-CCHFV IgG ELISA. A human-based IgG ELISA was adapted to recognize cattle, sheep and goats IgG antibodies. The conjugation (anti-human IgG peroxidase) was replaced with appropriate conjugate in each species. Statistical analyses indicated a significant relationship between antibody presence and animal age, species, breed and location but there was no relation with animal gender. Out of 485 samples, 154 were seropositive (31.8%). It was determined that the statistical cluster varied between 5.8% and 74.3% according to location and seropositivity. The most important variable associated with antibody presence was geographic location. While high seropositivity is found at altitudes above 555 meters, it is found to be 7% and 3% at sea level. The seropositivity reached 100% in the village where human deaths were seen in 2015, and 74.3% in the Tufanbeyli district where this village is located. The results indicate that Adana is an endemic province for CCHFV infection, especially in high altitude regions.

In this study, the performances of linear regression techniques, which are especially used in clinical chemistry in method comparison studies, are compared via the Monte-Carlo simulation. The regression techniques that take the measurement errors of both dependent and independent variables into account are called Type II regression techniques. In this study, we also compare the performances of Type II and Type I (classical regression techniques that do not take the measurement errors of the independent variable into account) regression techniques for different sample sizes and different shape parameters of the Weibull distribution. The mean square error is used as a performance criterion of each technique. MATLAB 7.02 software is used in the simulation study. As a result, in all conditions, the ordinary least-square (OLS)-bisector regression technique, which bisects the OLS(Y | X) and the OLS(X | Y), shows the best performance.

Bu araştırmada, Afyonkarahisar’da faaliyet gösteren hastanelerdeki sağlık personelinin örgütsel adalet algılarının örgüt sağlığı algıları üzerindeki etkisinin ortaya konulması amaçlanmaktadır. Bu amaçla, veri toplama aracı olarak bazı bireysel özellikleri ve çalışanların örgütsel adalet ve örgüt sağlığı algılarını ölçmek amacıyla, örgütsel adalet ölçeği ile örgüt sağlığı ölçeğini içeren anket kullanılmıştır. Anket formu 365 sağlık çalışanına uygulanmıştır. Elde edilen veriler, betimsel istatistikler, t testi, varyans analizi, korelasyon ve regresyon analizi kullanılarak analiz edilmiştir. Araştırma sonuçları, sağlık çalışanlarında orta düzeyin altında örgütsel adalet ve örgüt sağlığı algısının olduğunu; çalışanların gerek örgütsel adalet gerek örgüt sağlığı algılarının cinsiyet, medeni durum, yaş, eğitim durumu, kurum ve görev değişkenlerine göre istatistiksel olarak anlamlı farklılıklar gösterdiğini ortaya koymaktadır. Ayrıca, çalışanların örgütsel adalet algıları ile örgüt sağlığı algıları arasındaki yüksek ilişki korelasyon analizi yardımıyla belirlenerek regresyon analiziyle açıklanmıştır.