Transmission risk assessment of invasive fluke Fascioloides magna using GIS-modelling and multicriteria analysis methods
The combination of multicriteria analysis (MCA), particularly analytic hierarchy process (AHP) and geographic information system (GIS) were applied for transmission risk assessment of Fascioloides magna (Trematoda; Fasciolidae) in south-western Slovakia. Based on the details on F. magna life cycle,...
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doaj-5265da0082a1439dbe87d28397c7890f2021-09-06T19:19:48ZengSciendoHelminthologia0440-66051336-90832017-06-0154211913110.1515/helm-2017-0016helm-2017-0016Transmission risk assessment of invasive fluke Fascioloides magna using GIS-modelling and multicriteria analysis methodsJuhásová L.0Králová-Hromadová I.1Zeleňáková M.2Blišťan P.3Bazsalovicsová E.4Institute of Parasitology, Slovak Academy of Sciences, Hlinkova 3, 04001 Košice, SlovakiaInstitute of Parasitology, Slovak Academy of Sciences, Hlinkova 3, 04001 Košice, SlovakiaInstitute of Environmental Engineering, Technical University of Košice, Letná 9, 04200 Košice, SlovakiaInstitute of Geodesy, Cartography and Geographical Information Systems, Technical University of Košice, Letná 9, 04200 Košice, SlovakiaInstitute of Parasitology, Slovak Academy of Sciences, Hlinkova 3, 04001 Košice, SlovakiaThe combination of multicriteria analysis (MCA), particularly analytic hierarchy process (AHP) and geographic information system (GIS) were applied for transmission risk assessment of Fascioloides magna (Trematoda; Fasciolidae) in south-western Slovakia. Based on the details on F. magna life cycle, the following risk factors (RF) of parasite transmission were determined: intermediate (RFIH) and final hosts (RFFH) (biological factors), annual precipitation (RFAP), land use (RFLU), flooded area (RFFA), and annual mean air temperature (RFAT) (environmental factors). Two types of risk analyses were modelled: (1) potential risk analysis was focused on the determination of the potential risk of parasite transmission into novel territories (data on F. magna occurrence were excluded); (2) actual risk analysis considered also the summary data on F. magna occurrence in the model region (risk factor parasite occurrence RFPO included in the analysis). The results of the potential risk analysis provided novel distribution pattern and revealed new geographical area as the potential risk zone of F. magna occurrence. Although the actual risk analysis revealed all four risk zones of F. magna transmission (acceptable, moderate, undesirable and unacceptable), its outputs were significantly affected by the data on parasite occurrence what reduced the informative value of the actual transmission risk assessment.https://doi.org/10.1515/helm-2017-0016giant liver fluketrematodarisk zoneslovakiaparasite distribution |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Juhásová L. Králová-Hromadová I. Zeleňáková M. Blišťan P. Bazsalovicsová E. |
spellingShingle |
Juhásová L. Králová-Hromadová I. Zeleňáková M. Blišťan P. Bazsalovicsová E. Transmission risk assessment of invasive fluke Fascioloides magna using GIS-modelling and multicriteria analysis methods Helminthologia giant liver fluke trematoda risk zone slovakia parasite distribution |
author_facet |
Juhásová L. Králová-Hromadová I. Zeleňáková M. Blišťan P. Bazsalovicsová E. |
author_sort |
Juhásová L. |
title |
Transmission risk assessment of invasive fluke Fascioloides magna using GIS-modelling and multicriteria analysis methods |
title_short |
Transmission risk assessment of invasive fluke Fascioloides magna using GIS-modelling and multicriteria analysis methods |
title_full |
Transmission risk assessment of invasive fluke Fascioloides magna using GIS-modelling and multicriteria analysis methods |
title_fullStr |
Transmission risk assessment of invasive fluke Fascioloides magna using GIS-modelling and multicriteria analysis methods |
title_full_unstemmed |
Transmission risk assessment of invasive fluke Fascioloides magna using GIS-modelling and multicriteria analysis methods |
title_sort |
transmission risk assessment of invasive fluke fascioloides magna using gis-modelling and multicriteria analysis methods |
publisher |
Sciendo |
series |
Helminthologia |
issn |
0440-6605 1336-9083 |
publishDate |
2017-06-01 |
description |
The combination of multicriteria analysis (MCA), particularly analytic hierarchy process (AHP) and geographic information system (GIS) were applied for transmission risk assessment of Fascioloides magna (Trematoda; Fasciolidae) in south-western Slovakia. Based on the details on F. magna life cycle, the following risk factors (RF) of parasite transmission were determined: intermediate (RFIH) and final hosts (RFFH) (biological factors), annual precipitation (RFAP), land use (RFLU), flooded area (RFFA), and annual mean air temperature (RFAT) (environmental factors). Two types of risk analyses were modelled: (1) potential risk analysis was focused on the determination of the potential risk of parasite transmission into novel territories (data on F. magna occurrence were excluded); (2) actual risk analysis considered also the summary data on F. magna occurrence in the model region (risk factor parasite occurrence RFPO included in the analysis). The results of the potential risk analysis provided novel distribution pattern and revealed new geographical area as the potential risk zone of F. magna occurrence. Although the actual risk analysis revealed all four risk zones of F. magna transmission (acceptable, moderate, undesirable and unacceptable), its outputs were significantly affected by the data on parasite occurrence what reduced the informative value of the actual transmission risk assessment. |
topic |
giant liver fluke trematoda risk zone slovakia parasite distribution |
url |
https://doi.org/10.1515/helm-2017-0016 |
work_keys_str_mv |
AT juhasoval transmissionriskassessmentofinvasiveflukefascioloidesmagnausinggismodellingandmulticriteriaanalysismethods AT kralovahromadovai transmissionriskassessmentofinvasiveflukefascioloidesmagnausinggismodellingandmulticriteriaanalysismethods AT zelenakovam transmissionriskassessmentofinvasiveflukefascioloidesmagnausinggismodellingandmulticriteriaanalysismethods AT blistanp transmissionriskassessmentofinvasiveflukefascioloidesmagnausinggismodellingandmulticriteriaanalysismethods AT bazsalovicsovae transmissionriskassessmentofinvasiveflukefascioloidesmagnausinggismodellingandmulticriteriaanalysismethods |
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1717777831084163072 |