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Spatial and temporal patterns of human Puumala virus (PUUV) infections in Germany

BACKGROUND: Worldwide, the number of recorded human hantavirus infections as well as the number of affected countries is on the rise. In Europe, most human hantavirus infections are caused by the Puumala virus (PUUV), with bank voles (Myodes glareolus) as reservoir hosts. Generally, infection outbre...

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Autores principales: Cunze, Sarah, Kochmann, Judith, Kuhn, Thomas, Frank, Raphael, Dörge, Dorian D., Klimpel, Sven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797684/
https://www.ncbi.nlm.nih.gov/pubmed/29404206
http://dx.doi.org/10.7717/peerj.4255
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author Cunze, Sarah
Kochmann, Judith
Kuhn, Thomas
Frank, Raphael
Dörge, Dorian D.
Klimpel, Sven
author_facet Cunze, Sarah
Kochmann, Judith
Kuhn, Thomas
Frank, Raphael
Dörge, Dorian D.
Klimpel, Sven
author_sort Cunze, Sarah
collection PubMed
description BACKGROUND: Worldwide, the number of recorded human hantavirus infections as well as the number of affected countries is on the rise. In Europe, most human hantavirus infections are caused by the Puumala virus (PUUV), with bank voles (Myodes glareolus) as reservoir hosts. Generally, infection outbreaks have been related to environmental conditions, particularly climatic conditions, food supply for the reservoir species and land use. However, although attempts have been made, the insufficient availability of environmental data is often hampering accurate temporal and spatially explicit models of human hantavirus infections. METHODS: In the present study, dynamics of human PUUV infections between 2001 and 2015 were explored using ArcGIS in order to identify spatio-temporal patterns. RESULTS: Percentage cover of forest area was identified as an important factor for the spatial pattern, whereas beech mast was found explaining temporal patterns of human PUUV infections in Germany. High numbers of infections were recorded in 2007, 2010 and 2012 and areas with highest records were located in Baden-Wuerttemberg (southwest Germany) and North Rhine-Westphalia (western Germany). CONCLUSION: More reliable data on reservoir host distribution, pathogen verification as well as an increased awareness of physicians are some of the factors that should improve future human infection risk assessments in Germany.
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spelling pubmed-57976842018-02-05 Spatial and temporal patterns of human Puumala virus (PUUV) infections in Germany Cunze, Sarah Kochmann, Judith Kuhn, Thomas Frank, Raphael Dörge, Dorian D. Klimpel, Sven PeerJ Parasitology BACKGROUND: Worldwide, the number of recorded human hantavirus infections as well as the number of affected countries is on the rise. In Europe, most human hantavirus infections are caused by the Puumala virus (PUUV), with bank voles (Myodes glareolus) as reservoir hosts. Generally, infection outbreaks have been related to environmental conditions, particularly climatic conditions, food supply for the reservoir species and land use. However, although attempts have been made, the insufficient availability of environmental data is often hampering accurate temporal and spatially explicit models of human hantavirus infections. METHODS: In the present study, dynamics of human PUUV infections between 2001 and 2015 were explored using ArcGIS in order to identify spatio-temporal patterns. RESULTS: Percentage cover of forest area was identified as an important factor for the spatial pattern, whereas beech mast was found explaining temporal patterns of human PUUV infections in Germany. High numbers of infections were recorded in 2007, 2010 and 2012 and areas with highest records were located in Baden-Wuerttemberg (southwest Germany) and North Rhine-Westphalia (western Germany). CONCLUSION: More reliable data on reservoir host distribution, pathogen verification as well as an increased awareness of physicians are some of the factors that should improve future human infection risk assessments in Germany. PeerJ Inc. 2018-02-01 /pmc/articles/PMC5797684/ /pubmed/29404206 http://dx.doi.org/10.7717/peerj.4255 Text en ©2018 Cunze et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Parasitology
Cunze, Sarah
Kochmann, Judith
Kuhn, Thomas
Frank, Raphael
Dörge, Dorian D.
Klimpel, Sven
Spatial and temporal patterns of human Puumala virus (PUUV) infections in Germany
title Spatial and temporal patterns of human Puumala virus (PUUV) infections in Germany
title_full Spatial and temporal patterns of human Puumala virus (PUUV) infections in Germany
title_fullStr Spatial and temporal patterns of human Puumala virus (PUUV) infections in Germany
title_full_unstemmed Spatial and temporal patterns of human Puumala virus (PUUV) infections in Germany
title_short Spatial and temporal patterns of human Puumala virus (PUUV) infections in Germany
title_sort spatial and temporal patterns of human puumala virus (puuv) infections in germany
topic Parasitology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797684/
https://www.ncbi.nlm.nih.gov/pubmed/29404206
http://dx.doi.org/10.7717/peerj.4255
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