Authors:
Cigdem Tarhan
and
Nur Sinem Ozcan
Affiliation:
Dokuz Eylul University, Turkey
Keyword(s):
GIS Based Spatial Pattern and the Geostatistical Analysis of Izmir
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Data Engineering
;
Data Management and Quality
;
Data Manipulation
;
Data Visualization
;
Decision Support Systems
;
Health Information Systems
;
Sensor Networks
Abstract:
In Turkey, starting from the 1950’s air pollution has been increasing because of rapid population increase, rapid urbanization and industrialization. These cause intense energy usage in settlement areas and this brings some problems in environmental health. The aim of the study is the examination of whether there is any statistical relationship between the level of air pollution with the number of COPD cases and incidence between 2006 and 2010 in Izmir City Center. The study area has six districts of Izmir City Center: Konak, Bornova, Buca, Karsiyaka, Cigli and Balcova. There are in total 89,776 COPD cases between 2006 and 2010. The spatial pattern of these cases is mapped via the GIS environment. Then, multivariate linear regression analysis is performed in the study. Additionally, the questionnaire was realized with 25 COPD inpatients in Dr.S.Seren Chest Diseases Hospital in Izmir in March - April 2014. The results show that there is a significant and positive relationship between
the level of air pollution (PM and SO2) and the number of COPD cases and incidence. In general, the increasing of the level of air pollutant and population cause an increase in the number of COPD cases and incidence. It is observed that the level of air quality in Karsiyaka, Bornova and Konak districts is lower than and incidence rates are higher than the other case districts. According to questionnaire results, there is a significant relationship between the inpatients’ age and their period of smoking. Also, there are significant relationships among the diagnosis, sex, job, risk factor, genetic predisposition, smoking habits, environment lived in and heating preferences.
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