BALIKESİR’DE HAVA KİRLİLİĞİNİN SOLUNUM YOLU HASTALIKLARININ MEKÂNSAL DAĞILIŞI ÜZERİNE ETKİSİNİ ANLAMADA JEO-İSTATİSTİK TEKNİKLER
Objectives of this study were to: (a) investigate the association between outdoor air pollution and respiratory disease hospitalization (RDH), (b) describe the geographical and temporal distribution of RDH cases in order to identify areas with unusually high rates, (c) put forward the clustering of...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Ankara University
2007-04-01
|
| Series: | Coğrafi Bilimler Dergisi |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/pub/aucbd/issue/44485/551419 |
| Summary: | Objectives of this study were to: (a) investigate the association between outdoor air pollution and respiratory disease hospitalization (RDH), (b) describe the geographical and temporal distribution of RDH cases in order to identify areas with unusually high rates, (c) put forward the clustering of RDH with mapping, and (d) identify the control of air pollution on RDH clustering in the city of Balıkesir. In this study GIS-based spatial analyses were conducted to detect spatial processes and spatial patern of RDH. Analyses were done using RDH data reported during 2000–2005 from Pulmonary Diseases Hospital, and also sulphur dioxide (SO2) and particulate matter (PM) data recorded during the same period. Moran's I, Geary’s Ratio, General G Statistics, Local Moran I, Local G Statistics and Moran Scatterplot from geostatistic analysis, which attempts to integrate the quantitative geography and spatial technology, were used to detect spatial autocorrelation and clusters of RDH. A significant correlation between RDH and air pollution was found. Statistically significant high rate spatial and space-time clusters were identified in the lowest district of the city. Shortly, topographic differences in the city caused different micro-climatic conditions being reason of differences in air pollution, and this was reason of unequal spatial distribution of RDH in the area. This information is important in guiding decisions on disease control strategies |
|---|---|
| ISSN: | 1303-5851 1308-9765 |