Evidence map›Paper›PMID 36042518›Full record

ArticleParasites & vectors2022

Predicting habitat suitability for Ixodes ricinus and Ixodes persulcatus ticks in Finland.

Ruut Uusitalo, Mika Siljander, Andreas Lindén, Jani J Sormunen, Juha Aalto, Guy Hendrickx, Eva Kallio, Andrea Vajda, Hilppa Gregow, Heikki Henttonen and 5 more

Abstract read
In one paragraph

Article in Parasites & vectors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Rickettsia spp. in finnish ixodid ticks.Parasites & vectors · 2025
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  20. Perception of Ticks and Tick-Borne Diseases Worldwide.Pathogens (Basel, Switzerland) · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Ruut UusitaloDepartment of Geosciences and Geography, University of Helsinki, P.O. Box 64, 00014, Helsinki, Finland. ruut.uusitalo@helsinki.fi.
Mika SiljanderDepartment of Geosciences and Geography, University of Helsinki, P.O. Box 64, 00014, Helsinki, Finland.
Andreas LindénNatural Resources Institute Finland, P.O. Box 2, 00791, Helsinki, Finland.
Jani J SormunenBiodiversity Unit, University of Turku, 20014, Turku, Finland.
Juha AaltoWeather and Climate Change Impact Research Unit, Finnish Meteorological Institute, P.O. Box 503, 00101, Helsinki, Finland.
Guy HendrickxResearch Department, AVIA-GIS, Zoersel, Belgium.
Eva KallioDepartment of Biological and Environmental Science and School of Resource Wisdom, University of Jyväskylä, 40014, Jyväskylä, Finland.
Andrea VajdaWeather and Climate Change Impact Research Unit, Finnish Meteorological Institute, P.O. Box 503, 00101, Helsinki, Finland.
Hilppa GregowWeather and Climate Change Impact Research Unit, Finnish Meteorological Institute, P.O. Box 503, 00101, Helsinki, Finland.
Heikki HenttonenNatural Resources Institute Finland, P.O. Box 2, 00791, Helsinki, Finland.
Cedric MarsboomResearch Department, AVIA-GIS, Zoersel, Belgium.
Essi M KorhonenDepartment of Virology, University of Helsinki, P.O. Box 21, 00014, Helsinki, Finland.
Tarja SironenDepartment of Virology, University of Helsinki, P.O. Box 21, 00014, Helsinki, Finland.
Petri PellikkaDepartment of Geosciences and Geography, University of Helsinki, P.O. Box 64, 00014, Helsinki, Finland.
Olli VapalahtiDepartment of Virology, University of Helsinki, P.O. Box 21, 00014, Helsinki, Finland.

Funding

Academy of Finland 329323
6 · The paper itself

Abstract

backgroundTicks 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.

methodsWe 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.

resultsIn 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.

conclusionsThis 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.

Indexed as

BorreliaDeerEncephalitis Viruses, Tick-BorneHaresIxodesAnimalsEcosystemFinlandHumansBorrelia burgdorferi sensu latoEnsemble predictionIxodes persulcatusIxodes ricinusSpecies distribution modellingTick-borne pathogen

Identifiers

PMID36042518
PMCPMC9429443

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.