ArticleGigaByte (Hong Kong, China)2022
Tick abundance, diversity and pathogen data collected by the National Ecological Observatory Network.
Article in GigaByte (Hong Kong, China), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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
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Who cites it
5 citing papers in PubMed.
- Bayesian Multivariate Modelling of Lone Star (International journal of environmental research and public health · 2026Article
- A minimum data standard for wildlife disease research and surveillance.Scientific data · 2025Article
- Bridging Biodiversity and Health: The Global Biodiversity Information Facility's initiative on open data on vectors of human diseases.GigaByte (Hong Kong, China) · 2024Article
- Understanding Organisms Using Ecological Observatory Networks.Integrative organismal biology (Oxford, England) · 2023Article
- Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cases of tick-borne diseases have been steadily increasing in the USA, owing in part to tick range expansion, land cover and associated host population changes, and habitat fragmentation. However, the relative importance of these and other potential drivers remain poorly understood within this complex disease system. Ticks are ectotherms with multi-host lifecycles, which makes them sensitive to changes in the physical environment and the ecological community. Here, we describe data collected by the National Ecological Observatory Network on tick abundance, diversity and pathogen infection. Ticks are collected using drag or flag methods multiple times in a growing season at 46 terrestrial sites across the USA. Ticks are identified and enumerated by a professional taxonomist, and a subset of nymphs are PCR-tested for various tick-borne pathogens. These data will enable multiscale analyses to better understand how drivers of tick dynamics and pathogen prevalence may shift with climate or land-use change.
Identifiers
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Registered trials
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