The Eco-Epidemiology of Tick-Borne Hemoparasitic Diseases Using Geographic Information Systems


Mohammad Mehdi Sedaghat 1 , Khadijeh Shemshad 2 , Karim Kamali 3 , Zabihollah Charrahy 4 , Akbar Biglarian 5 , Javad Rafinejad 1 , *

1 Department of Medical Entomology and Vector Control, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

2 Department of Medical Entomology, School of Health, Mazandaran University of Medical Sciences, Sari, Iran

3 Department of Entomology, Science and Research Branch, Islamic Azad University, Tehran, Iran

4 Department of Education, Jehad-e-Daneshgahi of Tehran University, Tehran, Iran

5 Department of Biostatistics, University of Social Welfare and Rehabilitation (USWR), Tehran, Iran

How to Cite: Sedaghat M M, Shemshad K, Kamali K, Charrahy Z, Biglarian A, et al. The Eco-Epidemiology of Tick-Borne Hemoparasitic Diseases Using Geographic Information Systems, Zahedan J Res Med Sci. 2013 ; 15(12):e4329.


Zahedan Journal of Research in Medical Sciences: 15 (12); e4329
Published Online: January 30, 2013
Article Type: Research Article
Received: July 20, 2012
Accepted: October 16, 2012


Background: Tick-borne diseases are of the most important diseases in the world including Iran. This survey was conducted to understand the eco-epidemiology of tick-borne hemoparasitic diseases in Qazvin province, Iran, using Geospatial Information System (GIS).

Materials and Methods: DNA samples were extracted from livestock blood samples collected from different regions of Qazvin province. 18S rRNA-based PCR targeted Theileria/ Babesia species were done. Initial parameters for mapping the local tick-borne hemoparasitic diseases and raster files were obtained from Iran Meteorological Organization and Iranian Space Agency. Mapping of the parameters in relation to prevalence of these diseases were done. Statistical analysis was used for weighting parameters ranking and predicting spatial distribution in different climatic zones.

Results: Vapor pressure, precipitation, and altitude are of several environmental factors correlated with tick abundances. Based on the generated maps and the results of this survey, some predicting results could be used for predicting tick-borne diseases and their control. 9.7% of ruminant blood samples (N=16) were infected with protozoa pathogens from the genera Theileria and all of the specimens were negative regarding to Babesia genera.

Conclusion: Results showed that prediction of a very high prevalence of Theileria/ Babesia species and mapping endangered area is possible in different parts of Iran. Based on the environmental conditions, key factors exist for host-seeking and range expansion of ticks.


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