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Record W4411238864 · doi:10.1111/mve.12817

High prevalence of <scp> <i>Rickettsia</i> </scp> spp. among moderately dense population of <scp> <i>Dermacentor reticulatus</i> </scp> ticks in South‐central Poland

2025· article· en· W4411238864 on OpenAlexaff
Zbigniew Zając, Aneta Woźniak, Joanna Kulisz, Angélique Foucault‐Simonin, Dasiel Obregón, Sara Moutailler, Katarzyna Bartosik, Alejandro Cabezas‐Cruz

Bibliographic record

VenueMedical and Veterinary Entomology · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsEnvironment and Climate Change Canada
FundersUniwersytet Medyczny w Lublinie
KeywordsBiologyDermacentor reticulatusDermacentorPopulationRickettsiaZoologyTickMicrobiologyEcologyVirologyIxodidaeEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Dermacentor reticulatus ticks play a crucial role in the circulation and maintenance of tick‐borne pathogens (TBPs) foci in the environment. From a medical perspective, this species is particularly significant in transmitting TBPs classified within the spotted fever group rickettsiae (SFGR), primarily Rickettsia slovaca and R. raoultii . Moreover, in recent years, notable changes in the distribution of the species have been observed across various countries, including Poland. We hypothesized that south‐central Poland, particularly the Świętokrzyskie Voivodeship, represents the current southern boundary of the continuous range of D. reticulatus ticks in the country. Our aim was to assess the population density and the prevalence of Rickettsia spp. in ticks collected from the studied area. For this purpose, 34 research sites were designated for field surveys. In total, 910 adult D. reticulatus ticks were collected and identified. Molecular analysis for the detection of Rickettsia spp. was conducted on a randomly selected subset of individual ticks. Selected PCR‐positive samples underwent phylogenetic analysis. Using a random forest model, we explored the relative importance of environmental factors driving tick density. The model revealed that altitude, followed by humidity, were the primary determinants of tick density, while temperature and seasonality had negligible impacts. The mean density of D. reticulatus within its contiguous range was 3.3 ± 5.0 specimens per 100 m 2 (0.00–16.7/100 m 2 ). Surveyed tick populations showed a high prevalence of Rickettsia spp. (24.00%–74.19%). Sequencing of the gltA gene in the selected PCR‐positive samples confirmed that the analyzed strains belonged to the SFGR. In conclusion, our findings suggest that south‐central Poland currently forms the boundary of the contiguous range of the D. reticulatus population, which is characterized by moderate density and a high prevalence of Rickettsia spp. This study underscores the influence of ecological factors on tick distribution and highlights the need for continued surveillance of this medically significant vector and its associated pathogens.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.250
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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