Spatiotemporal clustering of cutaneous leishmaniasis in Fars province, Iran
10.1016/j.apjtb.2017.09.011
- Author:
Marjan ZARE
1
;
Abbas REZAIANZADEH
1
;
Hamidreza TABATABAEE
1
;
Mohsen ALIAKBARPOOR
1
;
Hossein FARAMARZI
2
;
Mostafa EBRAHIMI
2
Author Information
1. Department of Epidemiology, School of Health, Shiraz University of Medical Sciences
2. Department of Social Medicine, School of Health, Shiraz University of Medical Sciences
- Publication Type:Journal Article
- Keywords:
Clusters within a cluster;
Cutaneous leishmaniasis;
Scan statistics;
Spatiotemporal clustering
- From:Asian Pacific Journal of Tropical Biomedicine
2017;7(10):862-869
- CountryChina
- Language:Chinese
-
Abstract:
Objective To assess the spatiotemporal trait of cutaneous leishmaniasis (CL) in Fars province, Iran. Methods Spatiotemporal cluster analysis was conducted retrospectively to find spatiotemporal clusters of CL cases. Time-series data were recorded from 29 201 cases in Fars province, Iran from 2010 to 2015, which were used to verify if the cases were distributed randomly over time and place. Then, subgroup analysis was applied to find significant sub-clusters within large clusters. Spatiotemporal permutation scans statistics in addition to subgroup analysis were implemented using SaTScan software. Results This study resulted in statistically significant spatiotemporal clusters of CL (P < 0.05). The most likely cluster contained 350 cases from 1 July 2010 to 30 November 2010. Besides, 5 secondary clusters were detected in different periods of time. Finally, statistically significant sub-clusters were found within the three large clusters (P < 0.05). Conclusions Transmission of CL followed spatiotemporal pattern in Fars province, Iran. This can have an important effect on future studies on prediction and prevention of CL.
