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mljgoums 2021, 15(1): 40-44 |
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Soosaraei M, Daryani A, Sharif M, Sarvi S, Ziaei Hezarjaribi H, Fakhar M. Utilizing Geographic Information System in Evaluation of Spatial Distribution and Epidemiology of Cryptosporidium Species in Diarrheic Humans in Mazandaran Province, North of Iran. mljgoums 2021; 15 (1) :40-44
URL: http://mlj.goums.ac.ir/article-1-1250-en.html
URL: http://mlj.goums.ac.ir/article-1-1250-en.html
Masoud Soosaraei1 
, Ahmad Daryani 2, Mehdi Sharif1 , Shabeddin Sarvi1 , Hajar Ziaei Hezarjaribi1 , Mahdi Fakhar1
, Ahmad Daryani 2, Mehdi Sharif1 , Shabeddin Sarvi1 , Hajar Ziaei Hezarjaribi1 , Mahdi Fakhar1
1- Toxoplasmosis Research Center, Mazandaran University of Medical Sciences, Sari,Iran
2- Toxoplasmosis Research Center, Mazandaran University of Medical Sciences, Sari,Iran ,daryaanii1@yahoo.com
2- Toxoplasmosis Research Center, Mazandaran University of Medical Sciences, Sari,Iran ,
Abstract: (2702 Views)
Background and objectives: Cryptosporidium spp. is a major cause of gastrointestinal illness in humans. There are no data available on geospatial distribution of Cryptosporidium spp. in the Mazandaran Province, Iran. Therefore, the aim of this study was to determine the spatial patterns and demographic factors associated with Cryptosporidium spp. infection in the Mazandaran Province, North of Iran.
Methods: Fecal specimens were collected from diarrheic individuals (n=215) who were referred to health centers in the Mazandaran Province during 2014-2015. The specimens were examined for presence of Cryptosporidium spp. oocysts by Ziehl-Neelsen acid-fast staining.
Results: Cities of Sari, Neka, Noshahr and Behshahr were identified as disease hotspots. The prevalence of Cryptosporidium infection was significantly higher in subjects under 10 years of age as well as those living in low-altitude areas and rural areas without access to standard water sources.
Conclusion: Our findings and the GIS-derived data could be used to facilitate cryptosporidiosis surveillance and monitoring of Cryptosporidium spp. distribution in the study area.
Methods: Fecal specimens were collected from diarrheic individuals (n=215) who were referred to health centers in the Mazandaran Province during 2014-2015. The specimens were examined for presence of Cryptosporidium spp. oocysts by Ziehl-Neelsen acid-fast staining.
Results: Cities of Sari, Neka, Noshahr and Behshahr were identified as disease hotspots. The prevalence of Cryptosporidium infection was significantly higher in subjects under 10 years of age as well as those living in low-altitude areas and rural areas without access to standard water sources.
Conclusion: Our findings and the GIS-derived data could be used to facilitate cryptosporidiosis surveillance and monitoring of Cryptosporidium spp. distribution in the study area.
Research Article: Original Paper |
Subject:
Parasitology
Received: 2019/09/9 | Accepted: 2020/06/1 | Published: 2021/01/1 | ePublished: 2021/01/1
Received: 2019/09/9 | Accepted: 2020/06/1 | Published: 2021/01/1 | ePublished: 2021/01/1
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