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- Title
The requirement to improve the Brucellosis Surveillance system in Kurdistan province: Reduce the delay in diagnosis time.
- Authors
Olfatifar, Meysam; Hosseini, Seyed Mehdi; Khodakarim, Soheila; Shokri, Payam; Balaii, Hedieh; mirzai, Mansour; Pordanjani, Sajjad Rahimi
- Abstract
Introduction: Providing the spatial information is a crucial step for enhancement and monitoring of brucellosis surveillance system. That can be given rise to timely diagnosis and treatment of brucellosis. To do so, we used exponential scan statistic to formalize the spatial distribution of adjusted delay in diagnosis time of brucellosis (time between onset and diagnosis of disease) in Kurdistan province. Methods: We compared cluster areas with non-clusters areas in terms of studied variables, using logistic regression. We explored the brucellosis delayed diagnosis case clusters by applying the exponential scan statistic model using SaTScan software (v.9.6). Results: The mean survival time was 4.02 months for short spatial cluster with the centrality of Baneh and 4.05 months for spatiotemporal clusters with the centrality of Baneh and Qorveh. Similarly, the mean survival time for long spatial and spatiotemporal clusters were 6.56 and 15.28 months, respectively. Spatial distribution of cases in cluster area was different from the distribution of cases in non-clusters areas in term of livestock vaccination, residence, and sex and job variables. Our results showed that delay in diagnosis of brucellosis cases is very high. The spatial distribution delayed in diagnosis cases was not random and their clustering pattern effected by base variables. Conclusion: We suggest implementing the targeted and multi-faceted approaches to improvement of the brucellosis surveillance system in Kurdistan province because the delay in diagnosis can lead to long-term and serious complication.
- Subjects
IRAN; DIAGNOSIS of brucellosis; CONFERENCES &; conventions; PUBLIC health surveillance; TIME
- Publication
Journal of Safety Promotion & Injury Prevention, 2019, Vol 7, Issue 3, p60
- ISSN
2345-2455
- Publication type
Article