ArticleFrontiers in veterinary science2024
Spatial distribution and population dynamics of free-roaming (stray and semi-domiciled) dogs in a major Brazilian city.
Article in Frontiers in veterinary science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- The vacuum effect in free-roaming dog management: Conceptual foundations, boundary conditions, and One Health implications.One health (Amsterdam, Netherlands) · 2026Review
- Free-roaming dog populations and movement methodologies for global rabies elimination: knowns and unknowns - a scoping review.Frontiers in veterinary science · 2025Review
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Although estimate models have been proposed to determine free-roaming (both stray and semi-domiciled) dog populations, to date, no study has focused on the three major border areas of Brazil. Therefore, the present study assessed the free-roaming dog population of Foz do Iguaçu, a major far-west Brazilian city located in a three-border area (Brazil, Argentina, and Paraguay), which is considered among the top five Brazilian tourist destinations. Methods: Capture-release sampling was performed in three phases with a 6-month interval and 10-day duration of each phase, totaling 18 months, between 2018 and 2019. Results: A total of 1,273 dogs were estimated in the first [95% confidence interval (CI), 468-2,078 dogs], 904 in the second (95%CI, 452-1,355 dogs), and 1,564 in the third (95%CI, 521-2,607 dogs) capture phases in this area, suggesting a population density of 18.4 dogs/km Discussion: This study was the first to establish the density of free-roaming dogs, the ratio of stray and semi-domiciled dogs, and their dynamics over time in Foz do Iguaçu. The findings may serve as a warning for the high level of dog outdoor access and irresponsible guardianship, which may negatively affect animal health and welfare, leading to diseases, accidents, trauma, and animal cruelty.
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