Spatiotemporal clustering of cutaneous leishmaniasis in Fars province, Iran
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...
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2017-10-01
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| Series: | Asian Pacific Journal of Tropical Biomedicine |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2221169117309772 |
| _version_ | 1828426826967416832 |
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| author | Marjan Zare Abbas Rezaianzadeh Hamidreza Tabatabaee Mohsen Aliakbarpoor Hossein Faramarzi Mostafa Ebrahimi |
| author_facet | Marjan Zare Abbas Rezaianzadeh Hamidreza Tabatabaee Mohsen Aliakbarpoor Hossein Faramarzi Mostafa Ebrahimi |
| author_sort | Marjan Zare |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-10T16:52:04Z |
| format | Article |
| id | doaj.art-277badaecc6c43c0985725b184170f06 |
| institution | Directory Open Access Journal |
| issn | 2221-1691 |
| language | English |
| last_indexed | 2024-12-10T16:52:04Z |
| publishDate | 2017-10-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Asian Pacific Journal of Tropical Biomedicine |
| spelling | doaj.art-277badaecc6c43c0985725b184170f062022-12-22T01:40:52ZengWolters Kluwer Medknow PublicationsAsian Pacific Journal of Tropical Biomedicine2221-16912017-10-0171086286910.1016/j.apjtb.2017.09.011Spatiotemporal clustering of cutaneous leishmaniasis in Fars province, IranMarjan Zare0Abbas Rezaianzadeh1Hamidreza Tabatabaee2Mohsen Aliakbarpoor3Hossein Faramarzi4Mostafa Ebrahimi5Department of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, IranDepartment of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, IranDepartment of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, IranDepartment of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, IranDepartment of Social Medicine, School of Health, Shiraz University of Medical Sciences, Shiraz, IranDepartment of Social Medicine, School of Health, Shiraz University of Medical Sciences, Shiraz, IranObjective: 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.http://www.sciencedirect.com/science/article/pii/S2221169117309772Cutaneous leishmaniasisScan statisticsSpatiotemporal clusteringClusters within a cluster |
| spellingShingle | Marjan Zare Abbas Rezaianzadeh Hamidreza Tabatabaee Mohsen Aliakbarpoor Hossein Faramarzi Mostafa Ebrahimi Spatiotemporal clustering of cutaneous leishmaniasis in Fars province, Iran Asian Pacific Journal of Tropical Biomedicine Cutaneous leishmaniasis Scan statistics Spatiotemporal clustering Clusters within a cluster |
| title | Spatiotemporal clustering of cutaneous leishmaniasis in Fars province, Iran |
| title_full | Spatiotemporal clustering of cutaneous leishmaniasis in Fars province, Iran |
| title_fullStr | Spatiotemporal clustering of cutaneous leishmaniasis in Fars province, Iran |
| title_full_unstemmed | Spatiotemporal clustering of cutaneous leishmaniasis in Fars province, Iran |
| title_short | Spatiotemporal clustering of cutaneous leishmaniasis in Fars province, Iran |
| title_sort | spatiotemporal clustering of cutaneous leishmaniasis in fars province iran |
| topic | Cutaneous leishmaniasis Scan statistics Spatiotemporal clustering Clusters within a cluster |
| url | http://www.sciencedirect.com/science/article/pii/S2221169117309772 |
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