[Mapping of environmental mycologic hazards using GIS method].
Identifieur interne : 000308 ( PubMed/Corpus ); précédent : 000307; suivant : 000309[Mapping of environmental mycologic hazards using GIS method].
Auteurs : Elzbieta Lonc ; Alina Wieliczko ; Kinga PlewaSource :
- Wiadomosci parazytologiczne [ 0043-5163 ] ; 2009.
English descriptors
- KwdEn :
- Agriculture (statistics & numerical data), Animals, Aspergillus (isolation & purification), Candida (isolation & purification), Data Display, Dust (analysis), Environmental Monitoring (instrumentation), Environmental Monitoring (methods), Geographic Information Systems, Hazardous Substances (analysis), Humans, Occupational Exposure (analysis), Poland, Poultry, Retrospective Studies, Software.
- MESH :
- chemical , analysis : Dust, Hazardous Substances.
- geographic : Poland.
- analysis : Occupational Exposure.
- instrumentation : Environmental Monitoring.
- isolation & purification : Aspergillus, Candida.
- methods : Environmental Monitoring.
- statistics & numerical data : Agriculture.
- Animals, Data Display, Geographic Information Systems, Humans, Poultry, Retrospective Studies, Software.
Abstract
Intensive poultry production is associated with extreme densities of birds crammed into industrial-scale hen houses. Consequently, the bird keepers are exposed to elevated concentrations of dust. Exposure to dust, containing pathogenic mycological agents, may cause exacerbate asthma, allergic alveolitis, as well as organic dust toxic syndrome. Geographic Information System (GIS) allows to view, understand, question, interpret, and visualize biological data, among them mycological threats. The aim of the presently reported study was to create the mycological database from the chicken farms and their visualization on the map of Lower Silesia, Poland. Field data for Aspergillus fumigatus, A. flavus, Candida sp. were collected in Wrocław laboratory in 2008. GIS database was formed using ArcView 9.2. computer software. The visualization data on the digital maps were analyzed for the Health and Safety Executive.
PubMed: 20209819
Links to Exploration step
pubmed:20209819Le document en format XML
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<author><name sortKey="Lonc, Elzbieta" sort="Lonc, Elzbieta" uniqKey="Lonc E" first="Elzbieta" last="Lonc">Elzbieta Lonc</name>
<affiliation><nlm:affiliation>Zakład Ekologii Drobnoustrojów i Ochrony Srodowiska Instytutu Genetyki i Mikrobiologii, Uniwersytet Wrocławski, ul. Przybyszewskiego 63/77, 51-148 Wrocław. lonc@microb.uni.wroc.pl</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Wieliczko, Alina" sort="Wieliczko, Alina" uniqKey="Wieliczko A" first="Alina" last="Wieliczko">Alina Wieliczko</name>
</author>
<author><name sortKey="Plewa, Kinga" sort="Plewa, Kinga" uniqKey="Plewa K" first="Kinga" last="Plewa">Kinga Plewa</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">[Mapping of environmental mycologic hazards using GIS method].</title>
<author><name sortKey="Lonc, Elzbieta" sort="Lonc, Elzbieta" uniqKey="Lonc E" first="Elzbieta" last="Lonc">Elzbieta Lonc</name>
<affiliation><nlm:affiliation>Zakład Ekologii Drobnoustrojów i Ochrony Srodowiska Instytutu Genetyki i Mikrobiologii, Uniwersytet Wrocławski, ul. Przybyszewskiego 63/77, 51-148 Wrocław. lonc@microb.uni.wroc.pl</nlm:affiliation>
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<author><name sortKey="Wieliczko, Alina" sort="Wieliczko, Alina" uniqKey="Wieliczko A" first="Alina" last="Wieliczko">Alina Wieliczko</name>
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<author><name sortKey="Plewa, Kinga" sort="Plewa, Kinga" uniqKey="Plewa K" first="Kinga" last="Plewa">Kinga Plewa</name>
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<series><title level="j">Wiadomosci parazytologiczne</title>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Agriculture (statistics & numerical data)</term>
<term>Animals</term>
<term>Aspergillus (isolation & purification)</term>
<term>Candida (isolation & purification)</term>
<term>Data Display</term>
<term>Dust (analysis)</term>
<term>Environmental Monitoring (instrumentation)</term>
<term>Environmental Monitoring (methods)</term>
<term>Geographic Information Systems</term>
<term>Hazardous Substances (analysis)</term>
<term>Humans</term>
<term>Occupational Exposure (analysis)</term>
<term>Poland</term>
<term>Poultry</term>
<term>Retrospective Studies</term>
<term>Software</term>
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<keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Dust</term>
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<keywords scheme="MESH" xml:lang="en"><term>Animals</term>
<term>Data Display</term>
<term>Geographic Information Systems</term>
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<front><div type="abstract" xml:lang="en">Intensive poultry production is associated with extreme densities of birds crammed into industrial-scale hen houses. Consequently, the bird keepers are exposed to elevated concentrations of dust. Exposure to dust, containing pathogenic mycological agents, may cause exacerbate asthma, allergic alveolitis, as well as organic dust toxic syndrome. Geographic Information System (GIS) allows to view, understand, question, interpret, and visualize biological data, among them mycological threats. The aim of the presently reported study was to create the mycological database from the chicken farms and their visualization on the map of Lower Silesia, Poland. Field data for Aspergillus fumigatus, A. flavus, Candida sp. were collected in Wrocław laboratory in 2008. GIS database was formed using ArcView 9.2. computer software. The visualization data on the digital maps were analyzed for the Health and Safety Executive.</div>
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<Abstract><AbstractText>Intensive poultry production is associated with extreme densities of birds crammed into industrial-scale hen houses. Consequently, the bird keepers are exposed to elevated concentrations of dust. Exposure to dust, containing pathogenic mycological agents, may cause exacerbate asthma, allergic alveolitis, as well as organic dust toxic syndrome. Geographic Information System (GIS) allows to view, understand, question, interpret, and visualize biological data, among them mycological threats. The aim of the presently reported study was to create the mycological database from the chicken farms and their visualization on the map of Lower Silesia, Poland. Field data for Aspergillus fumigatus, A. flavus, Candida sp. were collected in Wrocław laboratory in 2008. GIS database was formed using ArcView 9.2. computer software. The visualization data on the digital maps were analyzed for the Health and Safety Executive.</AbstractText>
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<ForeName>Elzbieta</ForeName>
<Initials>E</Initials>
<AffiliationInfo><Affiliation>Zakład Ekologii Drobnoustrojów i Ochrony Srodowiska Instytutu Genetyki i Mikrobiologii, Uniwersytet Wrocławski, ul. Przybyszewskiego 63/77, 51-148 Wrocław. lonc@microb.uni.wroc.pl</Affiliation>
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<VernacularTitle>Mapowanie mikologicznych zagrozeń srodowiska z zastosowaniem GIS-u.</VernacularTitle>
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