ArticleBMC veterinary research2019
A comparison of population estimation techniques for individually unidentifiable free-roaming dogs.
Article in BMC veterinary research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Spatial prediction of dog population distribution in Kenya.PloS one · 2026Article
- Assessing Health System preparedness for dog mediated rabies in South-East Asia Region.Journal of preventive medicine and hygiene · 2025Review
- Managing free-roaming domestic dog populations using surgical sterilisation: a randomised controlled trial.Scientific reports · 2025Article
- Chasing rabies herd immunity: evaluating dog vaccination strategies and post-vaccination survey reliability in urban and peri-urban Bangladesh.Frontiers in microbiology · 2025Article
- Free-roaming dog populations and movement methodologies for global rabies elimination: knowns and unknowns - a scoping review.Frontiers in veterinary science · 2025Review
- Estimation of free-roaming dog populations using Google Street View: A methodological study.PloS one · 2025Article
- Evaluation of Dynamics, Demography and Estimation of Free-Roaming Dog Population in Herat City, Afghanistan.Animals : an open access journal from MDPI · 2023Article
- Heterogeneity in dog population characteristics contributes to chronic under-vaccination against rabies in Guatemala.PLoS neglected tropical diseases · 2022Article
- A Review and Analysis of the National Dog Population Management Program in Chile.Animals : an open access journal from MDPI · 2022Review
- Article
- Spatial Distribution and Population Estimation of Dogs in Thailand: Implications for Rabies Prevention and Control.Frontiers in veterinary science · 2021Article
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Authors and funding
8 authors.
Funding
Abstract
backgroundMeasuring the size of free roaming dog populations quickly and accurately is critical in the implementation of numerous preventive health and population control interventions. However, few studies have investigated the relative performance of population size assessment tools when applied to dogs. The aim of this study was to compare the commonly used mark-resight methodology with distance sampling methods, which are less resource intensive, to estimate free-roaming dog abundance in Goa, India. Twenty-six working zones were surveyed along all roads twice by the same surveyor at the same time of day, following a vaccination campaign which included marking of vaccinated dogs with a coloured paint. The Chapman estimate was then used to evaluate the mark-resight abundance. Additionally, the number of dogs and perpendicular distance from the road for all dogs sighted was recorded. This was used to estimate dog density and abundance using distance sampling methods. The detection function was fitted based on goodness-of-fit and AIC.
resultsThe Chapman abundance estimate for the entire study area was 5202 dogs (95%CI 4733.8-5671.0), and the distance sampling method abundance estimate was 5067 dogs (95%CI 4454.3-5764.2). For individual working zones, after taking other factors into account in a mixed effects model, the average distance sampling estimate was 35% higher (95%CI 20-53%) than the Chapman estimate. There was also evidence of a difference in estimates between surveyors of 21% (95%CI 7-37%) and between days (22% lower on day 2, 95%CI 8-38%) for individual working zones.
conclusionOur study demonstrated that the distance sampling estimates were comparable overall to the Chapman method of abundance estimation of free roaming dogs across the entire study region but there was noticeable variation between the two methods when individual zones were compared. Consequently, distance sampling methods may be suitable to enumerate dogs over large areas in a more time efficient manner than the widely used mark-resight approach.
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