<abstract xmlns="http://www.w3.org/1999/xhtml"> 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.</abstract>

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.

Transmission risk assessment of invasive fluke Fascioloides magna using GIS-modelling and multicriteria analysis methods

Helminthologia

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

The combination of multicriteria analysis (MCA), particularly analytic hierarchy process (AHP) and geographic information system (GIS) were applied for...

Transmission risk assessment of invasive fluke Fascioloides magna using GIS-modelling and multicriteria analysis methods

Published Online: May 17, 2017

Page range: 119 - 131

Received: Feb 13, 2017

Accepted: Mar 17, 2017

DOI: https://doi.org/10.1515/helm-2017-0016

Keywords
giant liver fluke, Trematoda, risk zone, Slovakia, parasite distribution

© 2017

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Transmission risk assessment of invasive fluke Fascioloides magna using GIS-modelling and multicriteria analysis methods

Published Online: May 17, 2017

Page range: 119 - 131

Received: Feb 13, 2017

Accepted: Mar 17, 2017

DOI: https://doi.org/10.1515/helm-2017-0016

Keywordsgiant liver fluke, Trematoda, risk zone, Slovakia, parasite distribution

© 2017

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
giant liver fluke, Trematoda, risk zone, Slovakia, parasite distribution