Cargando…
Geo-Spatial Characteristics of 567 Places of Tick-Borne Encephalitis Infection in Southern Germany, 2018–2020
Tick-borne encephalitis (TBE) is a growing public health problem with increasing incidence and expanding risk areas. Improved prevention requires better understanding of the spatial distribution and ecological determinants of TBE transmission. However, a TBE risk map at sub-district level is still m...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953713/ https://www.ncbi.nlm.nih.gov/pubmed/35336218 http://dx.doi.org/10.3390/microorganisms10030643 |
_version_ | 1784675918559576064 |
---|---|
author | Friedsam, Amelie M. Brady, Oliver J. Pilic, Antonia Dobler, Gerhard Hellenbrand, Wiebke Nygren, Teresa M. |
author_facet | Friedsam, Amelie M. Brady, Oliver J. Pilic, Antonia Dobler, Gerhard Hellenbrand, Wiebke Nygren, Teresa M. |
author_sort | Friedsam, Amelie M. |
collection | PubMed |
description | Tick-borne encephalitis (TBE) is a growing public health problem with increasing incidence and expanding risk areas. Improved prevention requires better understanding of the spatial distribution and ecological determinants of TBE transmission. However, a TBE risk map at sub-district level is still missing for Germany. We investigated the distribution and geo-spatial characteristics of 567 self-reported places of probable TBE infection (POI) from 359 cases notified in 2018–2020 in the study area of Bavaria and Baden-Wuerttemberg, compared to 41 confirmed TBE foci and 1701 random comparator places. We built an ecological niche model to interpolate TBE risk to the entire study area. POI were distributed heterogeneously at sub-district level, as predicted probabilities varied markedly across regions (range 0–93%). POI were spatially associated with abiotic, biotic, and anthropogenic geo-spatial characteristics, including summer precipitation, population density, and annual frost days. The model performed with 69% sensitivity and 63% specificity at an optimised probability threshold (0.28) and an area under the curve of 0.73. We observed high predictive probabilities in small-scale areas, consistent with the known circulation of the TBE virus in spatially restricted microfoci. Supported by further field work, our findings may help identify new TBE foci. Our fine-grained risk map could supplement targeted prevention in risk areas. |
format | Online Article Text |
id | pubmed-8953713 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89537132022-03-26 Geo-Spatial Characteristics of 567 Places of Tick-Borne Encephalitis Infection in Southern Germany, 2018–2020 Friedsam, Amelie M. Brady, Oliver J. Pilic, Antonia Dobler, Gerhard Hellenbrand, Wiebke Nygren, Teresa M. Microorganisms Article Tick-borne encephalitis (TBE) is a growing public health problem with increasing incidence and expanding risk areas. Improved prevention requires better understanding of the spatial distribution and ecological determinants of TBE transmission. However, a TBE risk map at sub-district level is still missing for Germany. We investigated the distribution and geo-spatial characteristics of 567 self-reported places of probable TBE infection (POI) from 359 cases notified in 2018–2020 in the study area of Bavaria and Baden-Wuerttemberg, compared to 41 confirmed TBE foci and 1701 random comparator places. We built an ecological niche model to interpolate TBE risk to the entire study area. POI were distributed heterogeneously at sub-district level, as predicted probabilities varied markedly across regions (range 0–93%). POI were spatially associated with abiotic, biotic, and anthropogenic geo-spatial characteristics, including summer precipitation, population density, and annual frost days. The model performed with 69% sensitivity and 63% specificity at an optimised probability threshold (0.28) and an area under the curve of 0.73. We observed high predictive probabilities in small-scale areas, consistent with the known circulation of the TBE virus in spatially restricted microfoci. Supported by further field work, our findings may help identify new TBE foci. Our fine-grained risk map could supplement targeted prevention in risk areas. MDPI 2022-03-17 /pmc/articles/PMC8953713/ /pubmed/35336218 http://dx.doi.org/10.3390/microorganisms10030643 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Friedsam, Amelie M. Brady, Oliver J. Pilic, Antonia Dobler, Gerhard Hellenbrand, Wiebke Nygren, Teresa M. Geo-Spatial Characteristics of 567 Places of Tick-Borne Encephalitis Infection in Southern Germany, 2018–2020 |
title | Geo-Spatial Characteristics of 567 Places of Tick-Borne Encephalitis Infection in Southern Germany, 2018–2020 |
title_full | Geo-Spatial Characteristics of 567 Places of Tick-Borne Encephalitis Infection in Southern Germany, 2018–2020 |
title_fullStr | Geo-Spatial Characteristics of 567 Places of Tick-Borne Encephalitis Infection in Southern Germany, 2018–2020 |
title_full_unstemmed | Geo-Spatial Characteristics of 567 Places of Tick-Borne Encephalitis Infection in Southern Germany, 2018–2020 |
title_short | Geo-Spatial Characteristics of 567 Places of Tick-Borne Encephalitis Infection in Southern Germany, 2018–2020 |
title_sort | geo-spatial characteristics of 567 places of tick-borne encephalitis infection in southern germany, 2018–2020 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953713/ https://www.ncbi.nlm.nih.gov/pubmed/35336218 http://dx.doi.org/10.3390/microorganisms10030643 |
work_keys_str_mv | AT friedsamameliem geospatialcharacteristicsof567placesoftickborneencephalitisinfectioninsoutherngermany20182020 AT bradyoliverj geospatialcharacteristicsof567placesoftickborneencephalitisinfectioninsoutherngermany20182020 AT pilicantonia geospatialcharacteristicsof567placesoftickborneencephalitisinfectioninsoutherngermany20182020 AT doblergerhard geospatialcharacteristicsof567placesoftickborneencephalitisinfectioninsoutherngermany20182020 AT hellenbrandwiebke geospatialcharacteristicsof567placesoftickborneencephalitisinfectioninsoutherngermany20182020 AT nygrenteresam geospatialcharacteristicsof567placesoftickborneencephalitisinfectioninsoutherngermany20182020 |