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    Health Care Convergence Analysis in Turkey on the Province Level: Spatial Quantile Method
    (Elsevier Science Bv, 2016) Zeren, Fatma; Ozcan, Burcu; Mentese, Emin Yahya
    The purpose of this study is to investigate the imparity of health care service in Turkey on the province level. Generally, beta convergence hypothesis is used for determining whether imparities are lowered. beta-convergence refers to an inverse relation between the relative growth rate of macroeconomic variable and its initial level. As a proxy variable for health care service, the number of practicing physicians per 10,000 individuals is used. The convergence hypothesis for health care service during the period from 2002 until 2010 is investigated by using the spatial quantile method. The results confirmed that there is convergence on province-basis for the period studied. In other words, it can be concluded that the imparity in terms of health care services offered to people in Turkey has decreased on the province level. There is also spatial interaction between provinces in terms of health care services. (C) 2016 Published by Elsevier B.V.
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    Spatial clustering and hot spot analysis of the COVID-19 pandemic in Malatya province
    (2022) Zeren, Fatma; Akbulut, Ahmet Sami; , Ali; İşlek, Hüseyin; Bentli, Recep; Mentese, Emin Yahya
    It was revealed that what caused the disease that emerged with respiratory symptoms (fever, cough, shortness of breath) towards the end of 2019 in Wuhan city of China's Hubei province, and later named as COVID-19 by WHO was SARS-CoV-2 virus. The COVID-19 epidemic affected Turkey very quickly as it did the entire world, and the first official case in Turkey was detected in March 2020. In this study, how the COVID-19 cases are clustered in the districts of Malatya and the structure of this clustering as well as whether the cluster has changed over time was revealed by using the spatial exploratory analysis approach. For this purpose, Global and Local Moran I statistics that measure spatial interaction were used. For the hot spot analysis, Getis-Ord’s Gi* statistic was used. Moran I, which measures the spread of COVID-19 among districts, is statistically significant, and the spread effect is close to medium, although not very strong. It has been determined that Yazıhan and Akçadağ districts are the riskiest districts on average as of the period under consideration according to Lokal Moran I statistics. According to the Getis-Ord’s Gi* statistics, Yazıhan district is the one that is most suitable for the spread of the epidemic for Malatya, again being a hot spot location. It has been observed that Yazıhan district is frequently in the hot spot according to the monthly analysis of the Gi*statistics. In this context, it is important for Yazıhan district to increase the necessary measures in the coming periods and to make efforts to raise awareness of the citizens.