Utilizing Geographic Information System in Evaluation of Spatial Distribution and Epidemiology of Cryptosporidium Species in Diarrheic Humans in Mazandaran Province, North of Iran

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 demograp...

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Main Authors: Masoud Soosaraei, Ahmad Daryani, Mehdi Sharif, Shabeddin Sarvi, Hajar Ziaei Hezarjaribi, Mahdi Fakhar
Format: Article
Language:English
Published: Golestan University of Medical Sciences 2021-01-01
Series:Medical Laboratory Journal
Subjects:
Online Access:http://mlj.goums.ac.ir/article-1-1250-en.html
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author Masoud Soosaraei
Ahmad Daryani
Mehdi Sharif
Shabeddin Sarvi
Hajar Ziaei Hezarjaribi
Mahdi Fakhar
author_facet Masoud Soosaraei
Ahmad Daryani
Mehdi Sharif
Shabeddin Sarvi
Hajar Ziaei Hezarjaribi
Mahdi Fakhar
author_sort Masoud Soosaraei
collection DOAJ
description 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.
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spelling doaj.art-4ae682ce7e4547f1882d67f02fba68072022-12-22T00:07:03ZengGolestan University of Medical SciencesMedical Laboratory Journal2538-44492021-01-011514044Utilizing Geographic Information System in Evaluation of Spatial Distribution and Epidemiology of Cryptosporidium Species in Diarrheic Humans in Mazandaran Province, North of IranMasoud Soosaraei0Ahmad Daryani1Mehdi Sharif2Shabeddin Sarvi3Hajar Ziaei Hezarjaribi4Mahdi Fakhar5 Toxoplasmosis Research Center, Mazandaran University of Medical Sciences, Sari,Iran Toxoplasmosis Research Center, Mazandaran University of Medical Sciences, Sari,Iran Toxoplasmosis Research Center, Mazandaran University of Medical Sciences, Sari,Iran Toxoplasmosis Research Center, Mazandaran University of Medical Sciences, Sari,Iran Toxoplasmosis Research Center, Mazandaran University of Medical Sciences, Sari,Iran Toxoplasmosis Research Center, Mazandaran University of Medical Sciences, Sari,Iran 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.http://mlj.goums.ac.ir/article-1-1250-en.htmlcryptosporidium spp.prevalencediarrheamazandaraniran
spellingShingle Masoud Soosaraei
Ahmad Daryani
Mehdi Sharif
Shabeddin Sarvi
Hajar Ziaei Hezarjaribi
Mahdi Fakhar
Utilizing Geographic Information System in Evaluation of Spatial Distribution and Epidemiology of Cryptosporidium Species in Diarrheic Humans in Mazandaran Province, North of Iran
Medical Laboratory Journal
cryptosporidium spp.
prevalence
diarrhea
mazandaran
iran
title Utilizing Geographic Information System in Evaluation of Spatial Distribution and Epidemiology of Cryptosporidium Species in Diarrheic Humans in Mazandaran Province, North of Iran
title_full Utilizing Geographic Information System in Evaluation of Spatial Distribution and Epidemiology of Cryptosporidium Species in Diarrheic Humans in Mazandaran Province, North of Iran
title_fullStr Utilizing Geographic Information System in Evaluation of Spatial Distribution and Epidemiology of Cryptosporidium Species in Diarrheic Humans in Mazandaran Province, North of Iran
title_full_unstemmed Utilizing Geographic Information System in Evaluation of Spatial Distribution and Epidemiology of Cryptosporidium Species in Diarrheic Humans in Mazandaran Province, North of Iran
title_short Utilizing Geographic Information System in Evaluation of Spatial Distribution and Epidemiology of Cryptosporidium Species in Diarrheic Humans in Mazandaran Province, North of Iran
title_sort utilizing geographic information system in evaluation of spatial distribution and epidemiology of cryptosporidium species in diarrheic humans in mazandaran province north of iran
topic cryptosporidium spp.
prevalence
diarrhea
mazandaran
iran
url http://mlj.goums.ac.ir/article-1-1250-en.html
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