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Predicting habitat suitability for Ixodes ricinus and Ixodes persulcatus ticks in Finland
BACKGROUND: Ticks are responsible for transmitting several notable pathogens worldwide. Finland lies in a zone where two human-biting tick species co-occur: Ixodes ricinus and Ixodes persulcatus. Tick densities have increased in boreal regions worldwide during past decades, and tick-borne pathogens...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9429443/ https://www.ncbi.nlm.nih.gov/pubmed/36042518 http://dx.doi.org/10.1186/s13071-022-05410-8 |
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author | Uusitalo, Ruut Siljander, Mika Lindén, Andreas Sormunen, Jani J. Aalto, Juha Hendrickx, Guy Kallio, Eva Vajda, Andrea Gregow, Hilppa Henttonen, Heikki Marsboom, Cedric Korhonen, Essi M. Sironen, Tarja Pellikka, Petri Vapalahti, Olli |
author_facet | Uusitalo, Ruut Siljander, Mika Lindén, Andreas Sormunen, Jani J. Aalto, Juha Hendrickx, Guy Kallio, Eva Vajda, Andrea Gregow, Hilppa Henttonen, Heikki Marsboom, Cedric Korhonen, Essi M. Sironen, Tarja Pellikka, Petri Vapalahti, Olli |
author_sort | Uusitalo, Ruut |
collection | PubMed |
description | BACKGROUND: Ticks are responsible for transmitting several notable pathogens worldwide. Finland lies in a zone where two human-biting tick species co-occur: Ixodes ricinus and Ixodes persulcatus. Tick densities have increased in boreal regions worldwide during past decades, and tick-borne pathogens have been identified as one of the major threats to public health in the face of climate change. METHODS: We used species distribution modelling techniques to predict the distributions of I. ricinus and I. persulcatus, using aggregated historical data from 2014 to 2020 and new tick occurrence data from 2021. By aiming to fill the gaps in tick occurrence data, we created a new sampling strategy across Finland. We also screened for tick-borne encephalitis virus (TBEV) and Borrelia from the newly collected ticks. Climate, land use and vegetation data, and population densities of the tick hosts were used in various combinations on four data sets to estimate tick species’ distributions across mainland Finland with a 1-km resolution. RESULTS: In the 2021 survey, 89 new locations were sampled of which 25 new presences and 63 absences were found for I. ricinus and one new presence and 88 absences for I. persulcatus. A total of 502 ticks were collected and analysed; no ticks were positive for TBEV, while 56 (47%) of the 120 pools, including adult, nymph, and larva pools, were positive for Borrelia (minimum infection rate 11.2%, respectively). Our prediction results demonstrate that two combined predictor data sets based on ensemble mean models yielded the highest predictive accuracy for both I. ricinus (AUC = 0.91, 0.94) and I. persulcatus (AUC = 0.93, 0.96). The suitable habitats for I. ricinus were determined by higher relative humidity, air temperature, precipitation sum, and middle-infrared reflectance levels and higher densities of white-tailed deer, European hare, and red fox. For I. persulcatus, locations with greater precipitation and air temperature and higher white-tailed deer, roe deer, and mountain hare densities were associated with higher occurrence probabilities. Suitable habitats for I. ricinus ranged from southern Finland up to Central Ostrobothnia and North Karelia, excluding areas in Ostrobothnia and Pirkanmaa. For I. persulcatus, suitable areas were located along the western coast from Ostrobothnia to southern Lapland, in North Karelia, North Savo, Kainuu, and areas in Pirkanmaa and Päijät-Häme. CONCLUSIONS: This is the first study conducted in Finland that estimates potential tick species distributions using environmental and host data. Our results can be utilized in vector control strategies, as supporting material in recommendations issued by public health authorities, and as predictor data for modelling the risk for tick-borne diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13071-022-05410-8. |
format | Online Article Text |
id | pubmed-9429443 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94294432022-09-01 Predicting habitat suitability for Ixodes ricinus and Ixodes persulcatus ticks in Finland Uusitalo, Ruut Siljander, Mika Lindén, Andreas Sormunen, Jani J. Aalto, Juha Hendrickx, Guy Kallio, Eva Vajda, Andrea Gregow, Hilppa Henttonen, Heikki Marsboom, Cedric Korhonen, Essi M. Sironen, Tarja Pellikka, Petri Vapalahti, Olli Parasit Vectors Research BACKGROUND: Ticks are responsible for transmitting several notable pathogens worldwide. Finland lies in a zone where two human-biting tick species co-occur: Ixodes ricinus and Ixodes persulcatus. Tick densities have increased in boreal regions worldwide during past decades, and tick-borne pathogens have been identified as one of the major threats to public health in the face of climate change. METHODS: We used species distribution modelling techniques to predict the distributions of I. ricinus and I. persulcatus, using aggregated historical data from 2014 to 2020 and new tick occurrence data from 2021. By aiming to fill the gaps in tick occurrence data, we created a new sampling strategy across Finland. We also screened for tick-borne encephalitis virus (TBEV) and Borrelia from the newly collected ticks. Climate, land use and vegetation data, and population densities of the tick hosts were used in various combinations on four data sets to estimate tick species’ distributions across mainland Finland with a 1-km resolution. RESULTS: In the 2021 survey, 89 new locations were sampled of which 25 new presences and 63 absences were found for I. ricinus and one new presence and 88 absences for I. persulcatus. A total of 502 ticks were collected and analysed; no ticks were positive for TBEV, while 56 (47%) of the 120 pools, including adult, nymph, and larva pools, were positive for Borrelia (minimum infection rate 11.2%, respectively). Our prediction results demonstrate that two combined predictor data sets based on ensemble mean models yielded the highest predictive accuracy for both I. ricinus (AUC = 0.91, 0.94) and I. persulcatus (AUC = 0.93, 0.96). The suitable habitats for I. ricinus were determined by higher relative humidity, air temperature, precipitation sum, and middle-infrared reflectance levels and higher densities of white-tailed deer, European hare, and red fox. For I. persulcatus, locations with greater precipitation and air temperature and higher white-tailed deer, roe deer, and mountain hare densities were associated with higher occurrence probabilities. Suitable habitats for I. ricinus ranged from southern Finland up to Central Ostrobothnia and North Karelia, excluding areas in Ostrobothnia and Pirkanmaa. For I. persulcatus, suitable areas were located along the western coast from Ostrobothnia to southern Lapland, in North Karelia, North Savo, Kainuu, and areas in Pirkanmaa and Päijät-Häme. CONCLUSIONS: This is the first study conducted in Finland that estimates potential tick species distributions using environmental and host data. Our results can be utilized in vector control strategies, as supporting material in recommendations issued by public health authorities, and as predictor data for modelling the risk for tick-borne diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13071-022-05410-8. BioMed Central 2022-08-30 /pmc/articles/PMC9429443/ /pubmed/36042518 http://dx.doi.org/10.1186/s13071-022-05410-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Uusitalo, Ruut Siljander, Mika Lindén, Andreas Sormunen, Jani J. Aalto, Juha Hendrickx, Guy Kallio, Eva Vajda, Andrea Gregow, Hilppa Henttonen, Heikki Marsboom, Cedric Korhonen, Essi M. Sironen, Tarja Pellikka, Petri Vapalahti, Olli Predicting habitat suitability for Ixodes ricinus and Ixodes persulcatus ticks in Finland |
title | Predicting habitat suitability for Ixodes
ricinus and Ixodes
persulcatus ticks in Finland |
title_full | Predicting habitat suitability for Ixodes
ricinus and Ixodes
persulcatus ticks in Finland |
title_fullStr | Predicting habitat suitability for Ixodes
ricinus and Ixodes
persulcatus ticks in Finland |
title_full_unstemmed | Predicting habitat suitability for Ixodes
ricinus and Ixodes
persulcatus ticks in Finland |
title_short | Predicting habitat suitability for Ixodes
ricinus and Ixodes
persulcatus ticks in Finland |
title_sort | predicting habitat suitability for ixodes
ricinus and ixodes
persulcatus ticks in finland |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9429443/ https://www.ncbi.nlm.nih.gov/pubmed/36042518 http://dx.doi.org/10.1186/s13071-022-05410-8 |
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