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Int J Epidemiol Res. 2017;4(3): 211-214.
doi: 10.15171/ijer.2017.06
  Abstract View: 230
  PDF Download: 113

Original Article

Survey on the Role of Environmental Factors in the Spatial Distribution of the Toxoplasma gondii Antibody in Hosts (Rural Dogs and Cats) Using GIS Software: A Case Study in Golestan Province 

Kazem Behine 1, Abdolrasoul Salman Mahiny 3

1 MSc Student, Department of Environmental sciences, Faculty of Fisheries and Environmental Sciences, Gorgan University of Agricultural Sciences & Natural Resources, Gorgan, Iran
2 Assistant Professor, Department of Environmental Sciences, Faculty of Fisheries and Environmental Sciences, Gorgan University of Agricultural Sciences & Natural Resources, Gorgan, Iran
3 Associate Professor, Department of Environmental Sciences, Faculty of Fisheries and Environmental Sciences, Gorgan University of Agricultural Sciences & Natural Resources, Gorgan, Iran
*Corresponding Author:

Abstract

Background and aims: Toxoplasmosis, a zoonotic parasitic disease of warm-blooded animals, is notably influenced by environmental features. Recognizing spatial pattern of Toxoplasma gondii distribution in environment can provide significant contributions to public health and toxoplasmosis control. This study was designed to survey the frequency of T. gondii antibody in rural dogs and cats and also analyze possible relation between environmental factors and spatial distribution of T. gondiiantibody in Golestan province, using GIS.

Methods: From 2015 to 2016, 106 rural cats and 154 rural dogs were randomly sampled. Serum samples were tested for presence of T. gondii antibody through modified agglutination test (MAT). The relation between T. gondii antibody frequency and environmental factors was surveyed in ArcGIS and Idrisi Selva software with multiple linear regression model.

Results: From sampled rural cats and rural dogs, 85 (80.1%) and 99 (64.2%) were positive for T. gondii antibody, respectively. The highest frequency was seen in areas with temperate climate, Gorgan (82.4%) with a humidity of 78%, rainfall of 551 mm and temperature of 12.5°C. The lowest rate was in Maravetappeh (60.8%) with a humidity of 70%, rainfall of 418 mm and temperature of 15.37°C. About 53% of the difference in the T. gondii antibody frequency in sampled population was explained by climatic condition of each region.

Conclusion: The output presented here can facilitate the identification of high risk areas, based on climate condition, to apply effective planning control measures.

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Submitted: 21 Jan 2019
Accepted: 13 May 2017
ePublished: 27 Aug 2017
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