Evidence map›Paper›PMID 42282695›Full record

ArticlebioRxiv : the preprint server for biology2026

Comparison of tick surveillance approaches: Utilizing trailhead tick-check stations to support tick surveillance and community education.

Sabrina Gobran, Caroline Fagan, Lawson Dawe, Emma K Harris, Christopher M Roundy, Shelby Cagle, Nicole Kelp, Karla-Saavedra Rodriguez, Elizabeth Hemming-Schroeder

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Sabrina GobranDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, 80523-1685, USA.ORCID 0000-0003-3712-259X
Caroline FaganDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, 80523-1685, USA.
Lawson DaweDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, 80523-1685, USA.
Emma K HarrisDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, 80523-1685, USA.
Christopher M RoundyCDPHE, 4300 Cherry Creek S Dr, Denver, CO 80246.
Shelby CagleDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, 80523-1685, USA.
Nicole KelpDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, 80523-1685, USA.
Karla-Saavedra RodriguezDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, 80523-1685, USA.
Elizabeth Hemming-SchroederDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, 80523-1685, USA.

Funding

CSU Infectious Disease Research and Response Training ProgramT32AI162691 · NIAID · COLORADO STATE UNIVERSITY · PI DEAN, GREGG A · 2021 to 2025
$2.1M
NIAID NIH HHS T32 AI162691
6 · The paper itself

Abstract

Introduction: With rising tick-borne disease (TBD) cases and the geographical expansion of tick populations, the need for effective surveillance and public education regarding local risk is crucial. This study assessed the effectiveness of tick-check stations as a tool for tick surveillance, and their impact on community knowledge, attitude, and practices (KAP) related to ticks and TBD. Methods: To assess the effectiveness of tick-check stations for surveillance, we evaluated station engagement and compared tick density estimates, species composition, and life-stage distributions with those obtained through concurrent active surveillance. In addition, we compared submission numbers and tick species and life stages to those collected through a mail-in submission system conducted by the Colorado Department of Public Health and Environment (CDPHE). To quantify feasibility, we estimated effort per tick and compared effort across simulated sampling scenarios. Finally, in-person surveys were conducted at trailheads to assess baseline tick KAP and to evaluate differences between sites with and without tick-check stations. Results: Engagement with tick-check stations was sustained throughout the study. Temporal tick densities estimated from tick-check station submissions were correlated with density estimates from active surveillance (R = 0.534), and species composition and life-stage distributions did not significantly differ between methods. Tick-check stations required less effort per tick than active surveillance when sampling sites were nearby or tick densities were low, whereas sites that were farther away or had higher tick densities required less effort per tick under a hybrid surveillance approach. When asked to list tick-borne pathogens in Colorado, 47% of survey participants who had read tick-check station signage identified Rocky Mountain spotted fever compared with 20% of participants in the control group (p = 0.007; odds ratio). Notably, a low proportion of survey participants (24%) reported performing tick-checks to prevent tick bites. Conclusion: Tick-check stations can provide tick density estimates comparable to active surveillance while requiring less effort in many scenarios, particularly in low-density settings. Our findings also highlight opportunities for targeted outreach to address gaps in TBD knowledge. As both a surveillance and educational tool, tick-check stations offer a sustainable approach for expanding tick monitoring in resource-limited settings.

Indexed as

active tick surveillanceDermacentorKAPone healthpassive tick surveillancetick-borne diseasetickstrail behavior

Identifiers

PMID42282695
PMCPMC13251990

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.