Evidence map›Paper›PMID 28202088›Full record

ArticleEpidemiology and infection2017

What influences the home range size of free-roaming domestic dogs?

S Dürr, N K Dhand, C Bombara, S Molloy, M P Ward

Abstract read
In one paragraph

Article in Epidemiology and infection, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  16. Rabies in the Tropics.Current tropical medicine reports · 2022
    Review
  17. Article
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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

5 authors.

S DürrVeterinary Public Health Institute, Vetsuisse Faculty,University of Bern,Switzerland.
N K DhandSydney School of Veterinary Science,The University of Sydney,Australia.
C BombaraSydney School of Veterinary Science,The University of Sydney,Australia.
S MolloySydney School of Veterinary Science,The University of Sydney,Australia.
M P WardSydney School of Veterinary Science,The University of Sydney,Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In many regions of the world domestic dogs are free roaming and live in close relationship with humans. These free-roaming domestic dogs (FRDD) can cause public health problems such as dog bites and transmission of infectious diseases. To effectively control diseases transmitted by FRDD, knowledge on the dogs' behaviour is required. To identify predictors of home range (HR) size, we collected global positioning system data from 135 FRDD living in eight Aboriginal and Torres Strait Islander communities in Northern Australia. The core HR size ranged from 0·17 to 2·33 ha and the extended HR size from 0·86 to 40·46 ha. Using a linear mixed effect model with a Restricted Maximum Likelihood approach, the dog's sex and reproductive status were identified as predictors of roaming. Non-castrated males had the largest HRs, followed by neutered females. Also, FRDDs were found to roam further during the pre- than the post-wet season. These findings have implications for infectious disease spread. Identification of risk groups for disease spread within a population allows for more targeted disease response and surveillance. Further investigation of predictors of roaming in other FRDD populations worldwide would increase the external validity of such studies.

Indexed as

Homing BehaviorAnimalsAnimals, WildAustralian Aboriginal and Torres Strait Islander PeoplesDogsFemaleGeographic Information SystemsHumansLikelihood FunctionsLinear ModelsMaleNorthern TerritoryQueenslandCaninediseases spreadglobal positioning systempredictorsREML mixed effect model

Identifiers

PMID28202088
PMCPMC10027489

What OpenQuestion holds

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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.