Evidence map›Paper›PMID 32257219›Full record

ArticleMovement ecology2020

Living la Vida T-LoCoH: site fidelity of Florida ranched and wild white-tailed deer (

Emily T N Dinh, Allison Cauvin, Jeremy P Orange, Rebecca M Shuman, Samantha M Wisely, Jason K Blackburn

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Movement ecology, 2020. 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 14% 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, 8 citations in OpenAlex.

  1. Viruses · 2024
    Article
  2. Review
  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 at 2 institutions in 1 country.

Emily T N Dinh1Spatial Epidemiology & Ecology Research Laboratory, Department of Geography, University of Florida, Gainesville, FL USA.
Allison Cauvin3Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL USA.
Jeremy P Orange1Spatial Epidemiology & Ecology Research Laboratory, Department of Geography, University of Florida, Gainesville, FL USA.
Rebecca M Shuman4Florida Fish and Wildlife Conservation Commission, Gainesville, FL USA.
Samantha M Wisely3Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL USA.
Jason K Blackburn1Spatial Epidemiology & Ecology Research Laboratory, Department of Geography, University of Florida, Gainesville, FL USA.
University of Florida · USFlorida Fish and Wildlife Conservation Commission · US

Funding

Spatio-temporally explicit estimation of R0 for pathogens with environmentally-mediated transmissionR01GM117617 · NIGMS · UNIVERSITY OF FLORIDA · PI BLACKBURN, JASON K · 2015 to 2018
$1.5M
NIGMS NIH HHS R01 GM117617
6 · The paper itself

Abstract

backgroundEpizootic hemorrhagic disease virus (EHDV) is a pathogen vectored by

methodsHere, we tested whether white-tailed deer (

resultsWe found that ranched deer of both sexes tended to have smaller activity spaces (95% HR) and revisited sites within their HR more often but stayed for shorter periods than wild deer. However, core area (25% HR) sizes did not significantly differ between these groups.

conclusionsThe contrast in our findings between wild and ranched deer suggest that home range usage, rather than size, in addition to differences in population density, likely drive differences in disease exposure during the transmission period.

Indexed as

Disease riskFarmed deerHome rangeRanched deerSite fidelity metricsT-LoCoHWhite-tailed deer

Identifiers

PMID32257219
PMCPMC7076934
OpenAlexW3014887862

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.