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- Title
Coğrafi Bilgi Sistemlerinin Neonatal Tetanozun Dağılımının Belirlenmesinde Kullanımı.
- Authors
Erdoğan, Saffet; Demirel, Reha; Tiryakioğlu, İbrahim
- Abstract
AIM: This study aimed to explore the distribution of neonatal tetanus between provinces of Turkey with the aid of geographic information systems and spatial analyses and to identify infection cluster areas. METHODS: Analyses performed to report neonatal tetanus cases that recorded by the Ministry of Health belong to 1990-2006 period and to the demographic data belong to 1996-2006 period recorded by Turkish Statistical Institute. Firstly, to detect global variations and trends in the values of smoothed rates over the neighboring provinces, spatial rate smoothing based on spatial moving areas technique is performed by using different weight matrices. Secondly, global and local spatial autocorrelation analyses are performed whether the cases of neonatal tetanus show clustering. RESULTS: Analyses showed that neonatal tetanus cases are not spatially random and form clusters in the country (Moran's I: 0.030, p<0.05). Spatial rate smoothing analysis that is performed by using 658 cases showed a significant trend towards to the Southeast and East Anatolian region. Local spatial autocorrelation analyses determined significantly some specific provinces as clusters. CONCLUSION: This study shows that neonatal tetanus is a serious public health concern in the some region of Turkey, and that regions should have a priority to implement precautionary measures. It also shows that geographic information systems, spatial analyses and statistics can contribute to understanding epidemiology of diseases and identifying high rate disease locations.
- Subjects
TURKEY; GEOGRAPHIC information systems; NEONATAL infections; TETANUS; INFECTIOUS disease transmission; PUBLIC health; MEDICAL research; STATISTICAL correlation; TURKEY. Ministry of Health
- Publication
TAF Preventive Medicine Bulletin, 2009, Vol 8, Issue 1, p59
- ISSN
1303-734X
- Publication type
Article