ArticleScientific data2026
Geographical dataset of questing nymphal density for three key tick vector species of Lyme disease.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- A Global, High-Resolution Index of Risk and Exposure of Humans to Ticks, Lyme Borreliosis, and Crimean-Congo Haemorrhagic Fever.Pathogens (Basel, Switzerland) · 2026Article
- Geographical dataset of questing nymphal density for three key tick vector species of Lyme disease.Scientific data · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
Nymphal ticks of Ixodes pacificus, Ixodes scapularis, Ixodes ricinus, and Ixodes persulcatus are primary vectors of Lyme disease, which affects both animal and human health. Understanding their population dynamic is therefore critical for public health risk assessment. Here we present a focused dataset of questing nymph density, comprising 3579 records from 136 publications from 1980 to 2024. The dataset includes three tick species that represent major Lyme disease risk in the Northern Hemisphere. Records were compiled through systematic literature review and preserved original density measurements with their respective units (e.g., nymphs/m², nymphs/100 m²). Each record contains detailed metadata including tick species, geographical coordinates, temporal resolution and collection methods. This resource provides transparent and structured tick surveillance data essential for ecological modelling, disease risk prediction, and public health risk mapping.
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.