ArticleScientific reports2020
Spatial patterns of pathogen prevalence in questing Ixodes ricinus nymphs in southern Scandinavia, 2016.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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.
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.
Who cites it
27 citing papers in PubMed.
- Distribution ofInternational journal for parasitology. Parasites and wildlife · 2026Article
- Microorganisms inInternational journal for parasitology. Parasites and wildlife · 2026Article
- Prevalence and Species Diversity of Spotted Fever Group Rickettsiae in Ixodid Ticks Collected in Northwest Russia.Tropical medicine and infectious disease · 2026Article
- Are there other undiagnosed tick-borne infections in children being evaluated for Lyme neuroborreliosis?BMC pediatrics · 2026Article
- Antibodies against tick-borne pathogens in domestic dogs in Norway: Borrelia burgdorferi sensu lato, tick-borne encephalitis virus, and Anaplasma phagocytophilum.Acta veterinaria Scandinavica · 2026Article
- Molecular characterization of livestock-associated ticks and tick-borne bacteria in Xinjiang, northwestern China.Parasites & vectors · 2025Article
- Tickborne Neoehrlichia mikurensis in the Blood of Blood Donors, Norway, 2023.Emerging infectious diseases · 2025Article
- Seroprevalence of IgG Antibodies AgainstMicroorganisms · 2025Article
- Different environmental factors predict the occurrence of tick-borne encephalitis virus (TBEV) and reveal new potential risk areas across Europe via geospatial models.International journal of health geographics · 2025Article
- Occurrence and prevalence of host-seekingCurrent research in parasitology & vector-borne diseases · 2025Article
- Article
- A serosurvey examining exposure toIJID regions · 2024Article
- Article
- Article
- Spatial and temporal variation of five different pathogens and symbionts inCurrent research in parasitology & vector-borne diseases · 2024Article
- Real-Time Microfluidic PCRs: A High-Throughput Method to Detect 48 or 96 Tick-borne Pathogens in 48 or 96 Samples.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Real-Time Microfluidic PCRs: A High-Throughput Method to Detect 48 or 96 Tick-borne Pathogens in 48 or 96 Samples.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Can protection motivation theory predict protective behavior against ticks?BMC public health · 2023Article
- Potential drivers of human tick-borne encephalitis in the Örebro region of Sweden, 2010-2021.Scientific reports · 2023Article
- Neoehrlichia mikurensis in Danish immunocompromised patients: a retrospective cohort study.Annals of clinical microbiology and antimicrobials · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tick-borne pathogens cause diseases in animals and humans, and tick-borne disease incidence is increasing in many parts of the world. There is a need to assess the distribution of tick-borne pathogens and identify potential risk areas. We collected 29,440 tick nymphs from 50 sites in Scandinavia from August to September, 2016. We tested ticks in a real-time PCR chip, screening for 19 vector-associated pathogens. We analysed spatial patterns, mapped the prevalence of each pathogen and used machine learning algorithms and environmental variables to develop predictive prevalence models. All 50 sites had a pool prevalence of at least 33% for one or more pathogens, the most prevalent being Borrelia afzelii, B. garinii, Rickettsia helvetica, Anaplasma phagocytophilum, and Neoehrlichia mikurensis. There were large differences in pathogen prevalence between sites, but we identified only limited geographical clustering. The prevalence models performed poorly, with only models for R. helvetica and N. mikurensis having moderate predictive power (normalized RMSE from 0.74-0.75, R
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.