Evidence map›Paper›PMID 38354196›Full record

ArticlePLoS neglected tropical diseases2024

Human risk to tick encounters in the southeastern United States estimated with spatial distribution modeling.

Rebecca A Butler, Mona Papeş, James T Vogt, Dave J Paulsen, Christopher Crowe, Rebecca T Trout Fryxell

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2024. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Rebecca A ButlerDepartment of Entomology and Plant Pathology, University of Tennessee, Knoxville, Tennessee, United States of America.
Mona PapeşDepartment of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee, United States of America.
James T VogtUnited States Department of Agriculture Forest Service, Southern Research Station, Knoxville, Tennessee, United States of America.
Dave J PaulsenDepartment of Entomology and Plant Pathology, University of Tennessee, Knoxville, Tennessee, United States of America.
Christopher CroweUnited States Department of Agriculture Forest Service, Southern Research Station, Knoxville, Tennessee, United States of America.
Rebecca T Trout FryxellDepartment of Entomology and Plant Pathology, University of Tennessee, Knoxville, Tennessee, United States of America.ORCID 0000-0003-2133-0220

Funding

United States Department of Agriculture
6 · The paper itself

Abstract

Expanding geographic distribution and increased populations of ticks has resulted in an upsurge of human-tick encounters in the United States (US), leading to an increase in tickborne disease reporting. Limited knowledge of the broadscale spatial range of tick species is heightened by a rapidly changing environment. Therefore, we partnered with the Forest Inventory and Analysis (FIA) program of the Forest Service, U.S. Department of Agriculture and used passive tick surveillance to better understand spatiotemporal variables associated with foresters encountering three tick species (Amblyomma americanum L., Dermacentor variabilis Say, and Ixodes scapularis L.) in the southeastern US. Eight years (2014-2021) of tick encounter data were used to fit environmental niche and generalized linear models to predict where and when ticks are likely to be encountered. Our results indicate temporal and environmental partitioning of the three species. Ixodes scapularis were more likely to be encountered in the autumn and winter seasons and associated with soil organic matter, vegetation indices, evapotranspiration, temperature, and gross primary productivity. By contrast, A. americanum and D. variabilis were more likely to be encountered in spring and summer seasons and associated with elevation, landcover, temperature, dead belowground biomass, vapor pressure, and precipitation. Regions in the southeast least suitable for encountering ticks included the Blue Ridge, Mississippi Alluvial Plain, and the Southern Florida Coastal Plain, whereas suitable regions included the Interior Plateau, Central Appalachians, Ozark Highlands, Boston Mountains, and the Ouachita Mountains. Spatial and temporal patterns of different tick species can inform outdoorsmen and the public on tick avoidance measures, reduce tick populations by managing suitable tick habitats, and monitoring areas with unsuitable tick habitat for potential missed encounters.

Indexed as

IxodesAmblyommaAnimalsAppalachian RegionFloridaHumansSoutheastern United StatesUnited States

Identifiers

PMID38354196
PMCPMC10898775

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Registered trials

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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.