PubMed İndeksli Yayınlar Koleksiyonu

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Citation - WoS: 20
Citation - Scopus: 26
An analysis of Emergency Medical Services demand: Time of day- day of the week- and location in the city
(ELSEVIER, 2017) Gorkem Sariyer; Mustafa Gokalp Ataman; Serhat Akay; Turhan Sofuoglu; Zeynep Sofuoglu; Ataman, Mustafa Gokalp; Sariyer, Gorkem; Sofuoglu, Turhan; Akay, Serhat; Sofuoglu, Zeynep
Objective: Effective planning of Emergency Medical Services (EMS) which is highly dependent on the analysis of past data trends is important in reducing response time. Thus we aimed to analyze demand for these services based on time and location trends to inform planning for an effective EMS. Materials and methods: Data for this retrospective study were obtained from the Izmir EMS 112 system. All calls reaching these services during first six months of 2013 were descriptively analyzed based on time and location trends as a heat-map form. Results: The analyses showed that demand for EMS varied within different time periods of day and according to day of the week. For the night period demand was higher at the weekend compared to weekdays whereas for daytime hours demand was higher during the week. For weekdays a statistically significant relation was observed between the call distribution of morning and evening periods. It was also observed that the percentage of demand changed according to location. Among 30 locations the five most frequent destinations for ambulances which are also correlated with high population densities accounted for 55.66% of the total. Conclusion: The results of this study shed valuable light on the areas of call center planning and optimal ambulance locations of Izmir which can also be served as an archetype for other cities. Copyright (C) 2016 The Emergency Medicine Association of Turkey. Production and hosting by Elsevier B.V. on behalf of the Owner. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Citation - WoS: 10
Citation - Scopus: 16
Fiscal responses to COVID-19 outbreak for healthy economies: Modelling with big data analytics
(ELSEVIER, 2023) Gorkem Sariyer; Serpil Kahraman; Mert Erkan Sozen; Mustafa Gokalp Ataman; Ataman, Mustafa Gokalp; Sariyer, Gorkem; Sözen, Mert Erkan; Kahraman, Serpil
Fiscal responses to the COVID-19 crisis have varied a lot across countries. Using a panel of 127 countries over two separate subperiods between 2020 and 2021 this paper seeks to determine the extent that fiscal responses contributed to the spread and containment of the disease. The study first documents that rich countries which had the largest total and health-related fiscal responses achieved the lowest fatality rates defined as the ratio of COVID-related deaths to cases despite having the largest recorded numbers of cases and fatalities. The next most successful were less developed economies whose smaller total fiscal responses included a larger health-related component than emerging market economies. The study used a promising big data analytics technology the random forest algorithm to determine which factors explained a country's fatality rate. The findings indicate that a country's fatality ratio over the next period can be almost entirely predicted by its economic development level fiscal expenditure (both total and health-related) and initial fatality ratio. Finally the study conducted a counterfactual exercise to show that had less developed economies implemented the same fiscal responses as the rich (as a share of GDP) then their fatality ratios would have declined by 20.47% over the first period and 2.59% over the second one.
Citation - WoS: 51
Citation - Scopus: 54
Using system dynamics to assess the environmental management of cement industry in streaming data context
(ELSEVIER, 2020) Esra Ekinci; Yigit Kazancoglu; Sachin Kumar Mangla; Ekinci, Esra; Kazancoglu, Yigit; Mangla, Sachin Kumar
The cement industry can be regarded as one of the major sources of anthropogenic air pollution. It uses a significant amount of energy while creating substantial amount of potentially health-threatening carbon monoxide (CO) sulfur dioxide (SO2) nitrogen oxides (NOx) and dust partides. Hence the cement industry can be regarded as a primary area for study in the development of green manufacturing. In this study an urban cement factory is analyzed. The major contribution of the article is the development of a holistic approach to identify the variables impacting cement production and environmental factors creating air pollution in the area a system dynamics model has been developed incorporating streaming data. To understand the effect of a cement factory on an urban area some strategic level decisions are also analyzed with the study in order to reveal their impact on environment. The impact of cement production on air pollution cannot be evaluated separately from other air quality factors, therefore the contribution of each factor has to be identified in order to understand the specific issues affecting a region. With the use of the model future implications of various air quality factors on environmental sustainability can be assessed. According to the results PM10 value which is currently above the World Health Organization (WHO) air pollution critical level of 50 mu g/m(3) for 30% of the days in a year will dimb to more than 50% in 2023. Moreover governments can also recognize the severe impacts of location selection for cement industries unplanned and excessive building licensing and uncontrolled immigration on environment of an urban living. Therefore output of the study is potentially beneficial in guiding governmental decisions to ensure the sustainability of air quality. (C) 2020 Elsevier B.V. All rights reserved.

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