Evidence map›Paper›PMID 38123585›Full record

ArticleScientific reports2023

Investigation of optimized observation periods for estimating a representative home range of free-roaming domestic dogs.

Filipe Maximiano Sousa, Charlotte Warembourg, Mahamat Fayiz Abakar, Danilo Alvarez, Monica Berger-Gonzalez, Terence Odoch, Ewaldus Wera, Nakul Chitnis, Laura Cunha Silva, Grace Alobo and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 51% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Review
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

14 authors at 7 institutions in 5 countries.

Filipe Maximiano SousaVeterinary Public Health Institute, Vetsuisse Faculty, University of Bern, Bern, Switzerland. filipe.maximiano@unibe.ch.
Charlotte WarembourgVeterinary Public Health Institute, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
Mahamat Fayiz AbakarInstitut de Recherche en Elevage pour le Développement, N'Djaména, Chad.
Danilo AlvarezUniversidad del Valle de Guatemala, Guatemala City, Guatemala.
Monica Berger-GonzalezUniversidad del Valle de Guatemala, Guatemala City, Guatemala.
Terence OdochCollege of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Kampala, Uganda.
Ewaldus WeraKupang State Agricultural Polytechnic (Politeknik Pertanian Negeri Kupang), West Timor, Indonesia.
Nakul ChitnisSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Laura Cunha SilvaVeterinary Public Health Institute, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
Grace AloboCollege of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Kampala, Uganda.
Maria M SikkoAnimal Health Division, Agricultural Department of Sikka Regency, Flores, Indonesia.
Pablo RoquelUniversidad del Valle de Guatemala, Guatemala City, Guatemala.
Alexis Leonel López HernándezUniversidad del Valle de Guatemala, Guatemala City, Guatemala.
Salome DürrVeterinary Public Health Institute, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
University of Bern · CHUniversidad del Valle de Guatemala · GTMakerere University · UGAssociation Sahélienne de Recherche Appliquée pour le Développement Durable · TDSwiss Tropical and Public Health Institute · CHUniversitas Muhammadiyah Kupang · IDUniversity of Basel · CH

Funding

Albert-Heim-Stiftung Project Nr. 132Swiss Programme for Research on Global Issues for Development (r4d programme) Project Nr. 160919Vontobel-Stiftung grant 27.04.2017Wolfermann-Nägeli Stiftung Nr. 2018/28
6 · The paper itself

Abstract

Free-roaming domestic dogs (FRDD), as vectors of zoonotic diseases, are of high relevance for public health. Understanding roaming patterns of dogs can help to design disease control programs and disease transmission simulation models. Studies on GPS tracking of dogs report stark differences in recording periods. So far, there is no accepted number of days required to capture a representative home range (HR) of FRDD. The objective of this study was to evaluate changes in HR size and shape over time of FRDD living in Chad, Guatemala, Indonesia and Uganda and identify the period required to capture stable HR values. Dogs were collared with GPS units, leading to a total of 46 datasets with, at least, 19 recorded days. For each animal and recorded day, HR sizes were estimated using the Biased Random Bridge method and percentages of daily change in size and shape calculated and taken as metrics. The analysis revealed that the required number of days differed substantially between individuals, isopleths, and countries, with the extended HR (95% isopleth value) requiring a longer recording period. To reach a stable HR size and shape values for 75% of the dogs, 26 and 21 days, respectively, were sufficient. However, certain dogs required more extended observational periods.

Indexed as

Homing BehaviorPublic HealthAnimalsChadDogsGuatemalaIndonesia

Identifiers

PMID38123585
PMCPMC10733426
OpenAlexW4389995722

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.