Evidence map›Paper›PMID 38730239›Full record

ArticleScientific reports2024

Spatiotemporal trends and covariates of Lyme borreliosis incidence in Poland, 2010-2019.

Joanna Kulisz, Selwyn Hoeks, Renata Kunc-Kozioł, Aneta Woźniak, Zbigniew Zając, Aafke M Schipper, Alejandro Cabezas-Cruz, Mark A J Huijbregts

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. A NovelPathogens (Basel, Switzerland) · 2025
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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

8 authors.

Joanna KuliszChair and Department of Biology and Parasitology, Medical University of Lublin, Radziwiłłowska St. 11, 20-080, Lublin, Poland. joanna.kulisz@umlub.pl.
Selwyn HoeksDepartment of Environmental Science, Radboud Institute for Biological and Environmental Sciences, Radboud University, P.O. Box 9010, 6500, Nijmegen, GL, The Netherlands.
Renata Kunc-KoziołChair and Department of Biology and Parasitology, Medical University of Lublin, Radziwiłłowska St. 11, 20-080, Lublin, Poland.
Aneta WoźniakChair and Department of Biology and Parasitology, Medical University of Lublin, Radziwiłłowska St. 11, 20-080, Lublin, Poland.
Zbigniew ZającChair and Department of Biology and Parasitology, Medical University of Lublin, Radziwiłłowska St. 11, 20-080, Lublin, Poland.
Aafke M SchipperDepartment of Environmental Science, Radboud Institute for Biological and Environmental Sciences, Radboud University, P.O. Box 9010, 6500, Nijmegen, GL, The Netherlands.
Alejandro Cabezas-CruzAnses, UMR BIPAR, Laboratoire de Santé Animale, INRAE, Ecole Nationale Vétérinaire d'Alfort, 94700, Maisons-Alfort, France.
Mark A J HuijbregtsDepartment of Environmental Science, Radboud Institute for Biological and Environmental Sciences, Radboud University, P.O. Box 9010, 6500, Nijmegen, GL, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lyme borreliosis (LB) is the most commonly diagnosed tick-borne disease in the northern hemisphere. Since an efficient vaccine is not yet available, prevention of transmission is essential. This, in turn, requires a thorough comprehension of the spatiotemporal dynamics of LB transmission as well as underlying drivers. This study aims to identify spatiotemporal trends and unravel environmental and socio-economic covariates of LB incidence in Poland, using consistent monitoring data from 2010 through 2019 obtained for 320 (aggregated) districts. Using yearly LB incidence values, we identified an overall increase in LB incidence from 2010 to 2019. Additionally, we observed a large variation of LB incidences between the Polish districts, with the highest risks of LB in the eastern districts. We applied spatiotemporal Bayesian models in an all-subsets modeling framework to evaluate potential associations between LB incidence and various potentially relevant environmental and socio-economic variables, including climatic conditions as well as characteristics of the vegetation and the density of tick host species. The best-supported spatiotemporal model identified positive relationships between LB incidence and forest cover, the share of parks and green areas, minimum monthly temperature, mean monthly precipitation, and gross primary productivity. A negative relationship was found with human population density. The findings of our study indicate that LB incidence in Poland might increase as a result of ongoing climate change, notably increases in minimum monthly temperature. Our results may aid in the development of targeted prevention strategies.

Indexed as

Lyme DiseaseSpatio-Temporal AnalysisAnimalsBayes TheoremClimate ChangeHumansIncidencePoland

Identifiers

PMID38730239
PMCPMC11087522

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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.