Using GIS in Explaining Spatial Distribution of Brucellosis in an Endemic District in Iran

Background: To check the feasibility of using geographical information system (GIS) methods, we linked the brucellosis data of human and animals. Methods: In a village-based ecological study in Bardsir- a district in Kerman Province located nearly to the central part of Iran- data of human brucellos...

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Main Authors: AA Haghdoost, L Kawaguchi, A Mirzazadeh, H Rashidi, A Sarafinejad, AR Baniasadi, C Davies
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2007-05-01
Series:Iranian Journal of Public Health
Subjects:
Online Access:http://journals.tums.ac.ir/PdfMed.aspx?pdf_med=/upload_files/pdf/3144.pdf&manuscript_id=3144
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spelling doaj-3ffb38359e524da08ac108f025e1fd2a2020-12-02T03:56:59ZengTehran University of Medical SciencesIranian Journal of Public Health2251-60852007-05-013612734Using GIS in Explaining Spatial Distribution of Brucellosis in an Endemic District in IranAA HaghdoostL KawaguchiA MirzazadehH RashidiA SarafinejadAR BaniasadiC DaviesBackground: To check the feasibility of using geographical information system (GIS) methods, we linked the brucellosis data of human and animals. Methods: In a village-based ecological study in Bardsir- a district in Kerman Province located nearly to the central part of Iran- data of human brucellosis, socio-economic level, and livestock characteristics (2001-4) were linked by using GIS methods. Results: Annual incidence of human brucellosis was 141.6 cases per 100,000 inhabitants. Most of the high risk villages were seen in the north and south of Bardsir (3.6% of villages). A positive association was observed between the frequency of brucellosis and density of cattle (OR=1.81, P= 0.007). In addition, the size of human population was an independent determinant factor (OR= 1.94, P< 0.001). No association was found between frequency of the disease and socio-economic indicators and also the density of sheep. Conclusion: Our study showed that we could generate informative risk maps of brucellosis using health and veterinary data which might improve the quality of control programme in Iran.http://journals.tums.ac.ir/PdfMed.aspx?pdf_med=/upload_files/pdf/3144.pdf&manuscript_id=3144Risk mapHuman brucellosis
collection DOAJ
language English
format Article
sources DOAJ
author AA Haghdoost
L Kawaguchi
A Mirzazadeh
H Rashidi
A Sarafinejad
AR Baniasadi
C Davies
spellingShingle AA Haghdoost
L Kawaguchi
A Mirzazadeh
H Rashidi
A Sarafinejad
AR Baniasadi
C Davies
Using GIS in Explaining Spatial Distribution of Brucellosis in an Endemic District in Iran
Iranian Journal of Public Health
Risk map
Human brucellosis
author_facet AA Haghdoost
L Kawaguchi
A Mirzazadeh
H Rashidi
A Sarafinejad
AR Baniasadi
C Davies
author_sort AA Haghdoost
title Using GIS in Explaining Spatial Distribution of Brucellosis in an Endemic District in Iran
title_short Using GIS in Explaining Spatial Distribution of Brucellosis in an Endemic District in Iran
title_full Using GIS in Explaining Spatial Distribution of Brucellosis in an Endemic District in Iran
title_fullStr Using GIS in Explaining Spatial Distribution of Brucellosis in an Endemic District in Iran
title_full_unstemmed Using GIS in Explaining Spatial Distribution of Brucellosis in an Endemic District in Iran
title_sort using gis in explaining spatial distribution of brucellosis in an endemic district in iran
publisher Tehran University of Medical Sciences
series Iranian Journal of Public Health
issn 2251-6085
publishDate 2007-05-01
description Background: To check the feasibility of using geographical information system (GIS) methods, we linked the brucellosis data of human and animals. Methods: In a village-based ecological study in Bardsir- a district in Kerman Province located nearly to the central part of Iran- data of human brucellosis, socio-economic level, and livestock characteristics (2001-4) were linked by using GIS methods. Results: Annual incidence of human brucellosis was 141.6 cases per 100,000 inhabitants. Most of the high risk villages were seen in the north and south of Bardsir (3.6% of villages). A positive association was observed between the frequency of brucellosis and density of cattle (OR=1.81, P= 0.007). In addition, the size of human population was an independent determinant factor (OR= 1.94, P< 0.001). No association was found between frequency of the disease and socio-economic indicators and also the density of sheep. Conclusion: Our study showed that we could generate informative risk maps of brucellosis using health and veterinary data which might improve the quality of control programme in Iran.
topic Risk map
Human brucellosis
url http://journals.tums.ac.ir/PdfMed.aspx?pdf_med=/upload_files/pdf/3144.pdf&manuscript_id=3144
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