Spatial risk analysis for the introduction and circulation of six arboviruses in the Netherlands
Background: Arboviruses are a growing public health concern in Europe, with both endemic and exotic arboviruses expected to spread further into novel areas in the next decades. Predicting where future outbreaks will occur is a major challenge, particularly for regions where these arboviruses are not endemic. Spatial modelling of ecological risk factors for arbovirus circulation can help identify areas of potential emergence. Moreover, combining hazard maps of different arboviruses may facilitate a cost-efficient, targeted multiplex-surveillance strategy in areas where virus transmission is most likely. Here, we developed predictive hazard maps for the introduction and/or establishment of six arboviruses that were previously prioritized for the Netherlands: West Nile virus, Japanese encephalitis virus, Rift Valley fever virus, tick-borne encephalitis virus, louping-ill virus and Crimean-Congo haemorrhagic fever virus. Methods: Our spatial model included ecological risk factors that were identified as relevant for these arboviruses by an earlier systematic review, including abiotic conditions, vector abundance, and host availability. We used geographic information system (GIS)-based tools and geostatistical analyses to model spatially continuous datasets on these risk factors to identify regions in the Netherlands with suitable ecological conditions for arbovirus introduction and establishment. Results: The resulting hazard maps show that there is spatial clustering of areas with either a relatively low or relatively high environmental suitability for arbovirus circulation. Moreover, there was some overlap in high-hazard areas for virus introduction and/or establishment, particularly in the southern part of the country. Conclusions: The similarities in environmental suitability for some of the arboviruses provide opportunities for targeted sampling of vectors and/or sentinel hosts in these potential hotspots of emergence, thereby increasing the efficient use of limited resources for surveillance.[Figure not available: See fulltext.].
Main Authors: | , , , , , , , , |
---|---|
Format: | Article/Letter to editor biblioteca |
Language: | English |
Subjects: | Crimean-Congo haemorrhagic fever virus, Geographic Information System, Japanese encephalitis virus, Louping-ill virus, Rift Valley fever virus, Risk mapping, Tick-borne encephalitis virus, Vector-borne diseases, West Nile virus, |
Online Access: | https://research.wur.nl/en/publications/spatial-risk-analysis-for-the-introduction-and-circulation-of-six |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
dig-wur-nl-wurpubs-570256 |
---|---|
record_format |
koha |
spelling |
dig-wur-nl-wurpubs-5702562024-12-04 Esser, Helen Joan Liefting, Yorick Ibáñez-Justicia, Adolfo van der Jeugd, Henk Van Turnhout, Chris A.M. Stroo, Arjan Reusken, Chantal B.E.M. Koopmans, Marion P.G. de Boer, Willem Fred Article/Letter to editor Parasites and Vectors 13 (2020) ISSN: 1756-3305 Spatial risk analysis for the introduction and circulation of six arboviruses in the Netherlands 2020 Background: Arboviruses are a growing public health concern in Europe, with both endemic and exotic arboviruses expected to spread further into novel areas in the next decades. Predicting where future outbreaks will occur is a major challenge, particularly for regions where these arboviruses are not endemic. Spatial modelling of ecological risk factors for arbovirus circulation can help identify areas of potential emergence. Moreover, combining hazard maps of different arboviruses may facilitate a cost-efficient, targeted multiplex-surveillance strategy in areas where virus transmission is most likely. Here, we developed predictive hazard maps for the introduction and/or establishment of six arboviruses that were previously prioritized for the Netherlands: West Nile virus, Japanese encephalitis virus, Rift Valley fever virus, tick-borne encephalitis virus, louping-ill virus and Crimean-Congo haemorrhagic fever virus. Methods: Our spatial model included ecological risk factors that were identified as relevant for these arboviruses by an earlier systematic review, including abiotic conditions, vector abundance, and host availability. We used geographic information system (GIS)-based tools and geostatistical analyses to model spatially continuous datasets on these risk factors to identify regions in the Netherlands with suitable ecological conditions for arbovirus introduction and establishment. Results: The resulting hazard maps show that there is spatial clustering of areas with either a relatively low or relatively high environmental suitability for arbovirus circulation. Moreover, there was some overlap in high-hazard areas for virus introduction and/or establishment, particularly in the southern part of the country. Conclusions: The similarities in environmental suitability for some of the arboviruses provide opportunities for targeted sampling of vectors and/or sentinel hosts in these potential hotspots of emergence, thereby increasing the efficient use of limited resources for surveillance.[Figure not available: See fulltext.]. en application/pdf https://research.wur.nl/en/publications/spatial-risk-analysis-for-the-introduction-and-circulation-of-six 10.1186/s13071-020-04339-0 https://edepot.wur.nl/532144 Crimean-Congo haemorrhagic fever virus Geographic Information System Japanese encephalitis virus Louping-ill virus Rift Valley fever virus Risk mapping Tick-borne encephalitis virus Vector-borne diseases West Nile virus https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/ Wageningen University & Research |
institution |
WUR NL |
collection |
DSpace |
country |
Países bajos |
countrycode |
NL |
component |
Bibliográfico |
access |
En linea |
databasecode |
dig-wur-nl |
tag |
biblioteca |
region |
Europa del Oeste |
libraryname |
WUR Library Netherlands |
language |
English |
topic |
Crimean-Congo haemorrhagic fever virus Geographic Information System Japanese encephalitis virus Louping-ill virus Rift Valley fever virus Risk mapping Tick-borne encephalitis virus Vector-borne diseases West Nile virus Crimean-Congo haemorrhagic fever virus Geographic Information System Japanese encephalitis virus Louping-ill virus Rift Valley fever virus Risk mapping Tick-borne encephalitis virus Vector-borne diseases West Nile virus |
spellingShingle |
Crimean-Congo haemorrhagic fever virus Geographic Information System Japanese encephalitis virus Louping-ill virus Rift Valley fever virus Risk mapping Tick-borne encephalitis virus Vector-borne diseases West Nile virus Crimean-Congo haemorrhagic fever virus Geographic Information System Japanese encephalitis virus Louping-ill virus Rift Valley fever virus Risk mapping Tick-borne encephalitis virus Vector-borne diseases West Nile virus Esser, Helen Joan Liefting, Yorick Ibáñez-Justicia, Adolfo van der Jeugd, Henk Van Turnhout, Chris A.M. Stroo, Arjan Reusken, Chantal B.E.M. Koopmans, Marion P.G. de Boer, Willem Fred Spatial risk analysis for the introduction and circulation of six arboviruses in the Netherlands |
description |
Background: Arboviruses are a growing public health concern in Europe, with both endemic and exotic arboviruses expected to spread further into novel areas in the next decades. Predicting where future outbreaks will occur is a major challenge, particularly for regions where these arboviruses are not endemic. Spatial modelling of ecological risk factors for arbovirus circulation can help identify areas of potential emergence. Moreover, combining hazard maps of different arboviruses may facilitate a cost-efficient, targeted multiplex-surveillance strategy in areas where virus transmission is most likely. Here, we developed predictive hazard maps for the introduction and/or establishment of six arboviruses that were previously prioritized for the Netherlands: West Nile virus, Japanese encephalitis virus, Rift Valley fever virus, tick-borne encephalitis virus, louping-ill virus and Crimean-Congo haemorrhagic fever virus. Methods: Our spatial model included ecological risk factors that were identified as relevant for these arboviruses by an earlier systematic review, including abiotic conditions, vector abundance, and host availability. We used geographic information system (GIS)-based tools and geostatistical analyses to model spatially continuous datasets on these risk factors to identify regions in the Netherlands with suitable ecological conditions for arbovirus introduction and establishment. Results: The resulting hazard maps show that there is spatial clustering of areas with either a relatively low or relatively high environmental suitability for arbovirus circulation. Moreover, there was some overlap in high-hazard areas for virus introduction and/or establishment, particularly in the southern part of the country. Conclusions: The similarities in environmental suitability for some of the arboviruses provide opportunities for targeted sampling of vectors and/or sentinel hosts in these potential hotspots of emergence, thereby increasing the efficient use of limited resources for surveillance.[Figure not available: See fulltext.]. |
format |
Article/Letter to editor |
topic_facet |
Crimean-Congo haemorrhagic fever virus Geographic Information System Japanese encephalitis virus Louping-ill virus Rift Valley fever virus Risk mapping Tick-borne encephalitis virus Vector-borne diseases West Nile virus |
author |
Esser, Helen Joan Liefting, Yorick Ibáñez-Justicia, Adolfo van der Jeugd, Henk Van Turnhout, Chris A.M. Stroo, Arjan Reusken, Chantal B.E.M. Koopmans, Marion P.G. de Boer, Willem Fred |
author_facet |
Esser, Helen Joan Liefting, Yorick Ibáñez-Justicia, Adolfo van der Jeugd, Henk Van Turnhout, Chris A.M. Stroo, Arjan Reusken, Chantal B.E.M. Koopmans, Marion P.G. de Boer, Willem Fred |
author_sort |
Esser, Helen Joan |
title |
Spatial risk analysis for the introduction and circulation of six arboviruses in the Netherlands |
title_short |
Spatial risk analysis for the introduction and circulation of six arboviruses in the Netherlands |
title_full |
Spatial risk analysis for the introduction and circulation of six arboviruses in the Netherlands |
title_fullStr |
Spatial risk analysis for the introduction and circulation of six arboviruses in the Netherlands |
title_full_unstemmed |
Spatial risk analysis for the introduction and circulation of six arboviruses in the Netherlands |
title_sort |
spatial risk analysis for the introduction and circulation of six arboviruses in the netherlands |
url |
https://research.wur.nl/en/publications/spatial-risk-analysis-for-the-introduction-and-circulation-of-six |
work_keys_str_mv |
AT esserhelenjoan spatialriskanalysisfortheintroductionandcirculationofsixarbovirusesinthenetherlands AT lieftingyorick spatialriskanalysisfortheintroductionandcirculationofsixarbovirusesinthenetherlands AT ibanezjusticiaadolfo spatialriskanalysisfortheintroductionandcirculationofsixarbovirusesinthenetherlands AT vanderjeugdhenk spatialriskanalysisfortheintroductionandcirculationofsixarbovirusesinthenetherlands AT vanturnhoutchrisam spatialriskanalysisfortheintroductionandcirculationofsixarbovirusesinthenetherlands AT strooarjan spatialriskanalysisfortheintroductionandcirculationofsixarbovirusesinthenetherlands AT reuskenchantalbem spatialriskanalysisfortheintroductionandcirculationofsixarbovirusesinthenetherlands AT koopmansmarionpg spatialriskanalysisfortheintroductionandcirculationofsixarbovirusesinthenetherlands AT deboerwillemfred spatialriskanalysisfortheintroductionandcirculationofsixarbovirusesinthenetherlands |
_version_ |
1819145319592493056 |