Evidence map›Paper›PMID 38214874›Full record

ReviewEcoHealth2023

Collaborative Modeling of the Tick-Borne Disease Social-Ecological System: A Conceptual Framework.

Andrés M Urcuqui-Bustamante, Jessica E Leahy, Carly Sponarski, Allison M Gardner

Abstract readReview
PubMed Publisher
In one paragraph

Review in EcoHealth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 18% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Molecular Detection ofPathogens (Basel, Switzerland) · 2025
    Article
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

4 authors at 2 institutions in 2 countries.

Andrés M Urcuqui-BustamanteSchool of Forest Resources, University of Maine, 105 Nutting Hall, Orono, ME, USA. andres.urcuqui@maine.edu.ORCID 0000-0002-0663-1749
Jessica E LeahySchool of Forest Resources, University of Maine, 105 Nutting Hall, Orono, ME, USA.ORCID 0000-0003-1581-9361
Carly SponarskiNorthern Forestry Centre, Canadian Forest Service, Edmonton, AB, Canada.ORCID 0000-0001-6274-4433
Allison M GardnerSchool of Biology and Ecology, University of Maine, Orono, ME, USA.ORCID 0000-0001-8438-0634
University of Maine · USCanadian Forest Service · CA

Funding

Maine Agricultural and Forest Experiment Station ME021826Maine Agricultural and Forest Experiment Station ME021905National Institute of Food and Agriculture ME012450318
6 · The paper itself

Abstract

Hard-bodied ticks have become a major concern in temperate regions because they transmit a variety of pathogens of medical significance. Ticks and pathogens interact with hosts in a complex social-ecological system (SES) that influences human exposure to tick-borne diseases (TBD). We argue that addressing the urgent public health threat posed by TBD requires an understanding of the integrated processes in the forest ecosystem that influence tick density and infection prevalence, transmission among ticks, animal hosts, and ultimately disease prevalence in humans. We argue that collaborative modeling of the human-tick SES is required to understand the system dynamics as well as move science toward policy action. Recent studies in human health have shown the importance of stakeholder participation in understanding the factors that contribute to human exposure to zoonotic diseases. We discuss how collaborative modeling can be applied to understand the impacts of forest management practices on ticks and TBD. We discuss the potential of collaborative modeling for encouraging participation of diverse stakeholders in discussing the implications of managing forest ticks in the absence of large-scale control policy.

Indexed as

Tick-Borne DiseasesTicksAnimalsEcosystemForestsHumansZoonosesCollaborative decision-makingCollaborative modelingLyme diseaseParticipatory researchScience–policy interfaceVector-borne diseaseVectors

Identifiers

PMID38214874
OpenAlexW4390795389

What OpenQuestion holds

Textmetadata
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.