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1 "Mohammad Barati"
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Original Article
Spatial modeling of cutaneous leishmaniasis in Iranian army units during 2014-2017 using a hierarchical Bayesian method and the spatial scan statistic
Erfan Ayubi, Mohammad Barati, Arasb Dabbagh Moghaddam, Ali Reza Khoshdel
Epidemiol Health. 2018;40:e2018032.   Published online July 13, 2018
DOI: https://doi.org/10.4178/epih.e2018032
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  • 5 Web of Science
  • 7 Crossref
AbstractAbstract PDFSupplementary Material
Abstract
OBJECTIVES
This study aimed to map the incidence of cutaneous leishmaniasis (CL) in Iranian army units (IAUs) and to identify possible spatial clusters.
METHODS
This ecological study investigated incident cases of CL between 2014 and 2017. CL data were extracted from the CL registry maintained by the deputy of health of AJA University of Medical Sciences. The standardized incidence ratio (SIR) of CL was computed with a Besag, York, and Mollié model. The purely spatial scan statistic was employed to detect the most likely highand low-rate clusters and to obtain the observed-to-expected (O/E) ratio for each detected cluster. The statistical significance of the clusters was assessed using the log likelihood ratio (LLR) test and Monte Carlo hypothesis testing.
RESULTS
A total of 1,144 new CL cases occurred in IAUs from 2014 to 2017, with an incidence rate of 260 per 100,000. Isfahan and Khuzestan Provinces were found to have more CL cases than expected in all studied years (SIR>1), while Kermanshah, Kerman, and Fars Provinces were observed to have been high-risk areas in only some years of the study period. The most significant CL cluster was in Kermanshah Province (O/E, 67.88; LLR, 1,200.62; p<0.001), followed by clusters in Isfahan Province (O/E, 6.02; LLR, 513.24; p<0.001) and Khuzestan Province (O/E, 2.35; LLR, 73.71; p<0.001), while low-rate clusters were located in the northeast areas, including Razavi Khorasan, North Khorasan, Semnan, and Golestan Provinces (O/E, 0.03; LLR, 95.11; p<0.001).
CONCLUSIONS
This study identified high-risk areas for CL. These findings have public health implications and should be considered when planning control interventions among IAUs.
Summary

Citations

Citations to this article as recorded by  
  • High-risk spatiotemporal patterns of cutaneous leishmaniasis: a nationwide study in Iran from 2011 to 2020
    Neda Firouraghi, Robert Bergquist, Munazza Fatima, Alireza Mohammadi, Davidson H. Hamer, Mohammad Reza Shirzadi, Behzad Kiani
    Infectious Diseases of Poverty.2023;[Epub]     CrossRef
  • Spatio-temporal visualisation of cutaneous leishmaniasis in an endemic, urban area in Iran
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  • Cutaneous leishmaniasis based on climate regions in Iran (1998-2021): A systematic review and meta-analysis
    Mehri Rejali, Nadia Mohammadi Dashtaki, Afshin Ebrahimi, Asieh Heidari, MohammadReza Maracy
    Advanced Biomedical Research.2022; 11(1): 120.     CrossRef
  • Molecular Study of Cutaneous Leishmaniasis Species among Soldiers with Dermal Ulcers in Zahedan, Iran
    Sina Sekandarpour, Minoo Shaddel, Zahra Sadat Asadi
    Military Caring Sciences.2021; 7(4): 310.     CrossRef
  • Sensitivity of disease cluster detection to spatial scales: an analysis with the spatial scan statistic method
    Meifang Li, Xun Shi, Xia Li, Wenjun Ma, Jianfeng He, Tao Liu
    International Journal of Geographical Information Science.2019; 33(11): 2125.     CrossRef
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