Evidence map›Paper›PMID 30016206›Full record

ArticleVector borne and zoonotic diseases (Larchmont, N.Y.)2018

Frequent Exposure to Many Hunting Dogs Significantly Increases Tick Exposure.

Angela J Toepp, Kelsey Willardson, Mandy Larson, Benjamin D Scott, Ashlee Johannes, Reid Senesac, Christine A Petersen

Abstract read
In one paragraph

Article in Vector borne and zoonotic diseases (Larchmont, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  4. Review
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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

7 authors.

Angela J Toepp1 Department of Epidemiology, University of Iowa College of Public Health , Iowa City, Iowa.
Kelsey Willardson1 Department of Epidemiology, University of Iowa College of Public Health , Iowa City, Iowa.
Mandy Larson1 Department of Epidemiology, University of Iowa College of Public Health , Iowa City, Iowa.
Benjamin D Scott1 Department of Epidemiology, University of Iowa College of Public Health , Iowa City, Iowa.
Ashlee Johannes2 Department of Occupational and Environmental Health, University of Iowa College of Public Health , Iowa City, Iowa.
Reid Senesac1 Department of Epidemiology, University of Iowa College of Public Health , Iowa City, Iowa.
Christine A Petersen1 Department of Epidemiology, University of Iowa College of Public Health , Iowa City, Iowa.

Funding

Epidemic modeling framework for complex, multi-species disease processesR01TW010500 · FIC · UNIVERSITY OF IOWA · PI OLESON, JACOB, PETERSEN, CHRISTINE A · 2016 to 2020
$2.4M
FIC NIH HHS R01 TW010500
6 · The paper itself

Abstract

Certain professionals have more exposure to animals and therefore an increased risk of zoonoses. Professional hunting dog caretakers work with upwards of 50 dogs and are exposed to zoonoses through exposure to multiple potentially infectious canine secretions or excretions, as well as to the ticks that dogs carry. Dog caretakers reported having found embedded ticks on their bodies 5.83 times more than environment-only controls. Zoonotic Lyme disease, first in the United States for morbidity due to a vector-borne infection, has dramatically expanded its geographic range over the last two decades. This finding emphasizes the increased risk of tick-borne diseases, including Lyme disease, based on dog exposure and in areas of disease emergence.

Indexed as

AdultAgedAnimalsDog DiseasesDogsFemaleHumansLyme DiseaseMaleMiddle AgedRisk FactorsSeroepidemiologic StudiesTick BitesTick InfestationsUnited StatesYoung AdultLyme diseaseoccupational healthrisk factorsseroprevalencetickszoonotic

Identifiers

PMID30016206
PMCPMC6426272

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.