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Spatial Distribution and Population Estimation of Dogs in Thailand: Implications for Rabies Prevention and Control

Poor management of dog populations causes many problems in different countries, including rabies. To strategically design a dog population management, certain sets of data are required, such as the population size and spatial distribution of dogs. However, these data are rarely available or incomple...

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Autores principales: Thanapongtharm, Weerapong, Kasemsuwan, Suwicha, Wongphruksasoong, Vilaiporn, Boonyo, Khemmapat, Pinyopummintr, Tanu, Wiratsudakul, Anuwat, Gilbert, Marius, Leelahapongsathon, Kansuda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724437/
https://www.ncbi.nlm.nih.gov/pubmed/34993247
http://dx.doi.org/10.3389/fvets.2021.790701
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author Thanapongtharm, Weerapong
Kasemsuwan, Suwicha
Wongphruksasoong, Vilaiporn
Boonyo, Khemmapat
Pinyopummintr, Tanu
Wiratsudakul, Anuwat
Gilbert, Marius
Leelahapongsathon, Kansuda
author_facet Thanapongtharm, Weerapong
Kasemsuwan, Suwicha
Wongphruksasoong, Vilaiporn
Boonyo, Khemmapat
Pinyopummintr, Tanu
Wiratsudakul, Anuwat
Gilbert, Marius
Leelahapongsathon, Kansuda
author_sort Thanapongtharm, Weerapong
collection PubMed
description Poor management of dog populations causes many problems in different countries, including rabies. To strategically design a dog population management, certain sets of data are required, such as the population size and spatial distribution of dogs. However, these data are rarely available or incomplete. Hence, this study aimed to describe the characteristics of dog populations in Thailand, explore their spatial distribution and relevant factors, and estimate the number of dogs in the whole country. First, four districts were selected as representatives of each region. Each district was partitioned into grids with a 300-m resolution. The selected grids were then surveyed, and the number of dogs and related data were collected. Random forest models with a two-part approach were used to quantify the association between the surveyed dog population and predictor variables. The spatial distribution of dog populations was then predicted. A total of 1,750 grids were surveyed (945 grids with dog presence and 805 grids with dog absence). Among the surveyed dogs, 86.6% (12,027/13,895) were owned. Of these, 51% were classified as independent, followed by confined (25%), semi-independent (21%), and unidentified dogs (3%). Seventy-two percent (1,348/1,868) of the ownerless dogs were feral, and the rest were community dogs. The spatial pattern of the dog populations was highly distributed in big cities such as Bangkok and its suburbs. In owned dogs, it was linked to household demographics, whereas it was related to community factors in ownerless dogs. The number of estimated dogs in the entire country was 12.8 million heads including 11.2 million owned dogs (21.7 heads/km(2)) and 1.6 million ownerless dogs (3.2 heads/km(2)). The methods developed here are extrapolatable to a larger area and use much less budget and manpower compared to the present practices. Our results are helpful for canine rabies prevention and control programs, such as dog population management and control and rabies vaccine allocation.
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spelling pubmed-87244372022-01-05 Spatial Distribution and Population Estimation of Dogs in Thailand: Implications for Rabies Prevention and Control Thanapongtharm, Weerapong Kasemsuwan, Suwicha Wongphruksasoong, Vilaiporn Boonyo, Khemmapat Pinyopummintr, Tanu Wiratsudakul, Anuwat Gilbert, Marius Leelahapongsathon, Kansuda Front Vet Sci Veterinary Science Poor management of dog populations causes many problems in different countries, including rabies. To strategically design a dog population management, certain sets of data are required, such as the population size and spatial distribution of dogs. However, these data are rarely available or incomplete. Hence, this study aimed to describe the characteristics of dog populations in Thailand, explore their spatial distribution and relevant factors, and estimate the number of dogs in the whole country. First, four districts were selected as representatives of each region. Each district was partitioned into grids with a 300-m resolution. The selected grids were then surveyed, and the number of dogs and related data were collected. Random forest models with a two-part approach were used to quantify the association between the surveyed dog population and predictor variables. The spatial distribution of dog populations was then predicted. A total of 1,750 grids were surveyed (945 grids with dog presence and 805 grids with dog absence). Among the surveyed dogs, 86.6% (12,027/13,895) were owned. Of these, 51% were classified as independent, followed by confined (25%), semi-independent (21%), and unidentified dogs (3%). Seventy-two percent (1,348/1,868) of the ownerless dogs were feral, and the rest were community dogs. The spatial pattern of the dog populations was highly distributed in big cities such as Bangkok and its suburbs. In owned dogs, it was linked to household demographics, whereas it was related to community factors in ownerless dogs. The number of estimated dogs in the entire country was 12.8 million heads including 11.2 million owned dogs (21.7 heads/km(2)) and 1.6 million ownerless dogs (3.2 heads/km(2)). The methods developed here are extrapolatable to a larger area and use much less budget and manpower compared to the present practices. Our results are helpful for canine rabies prevention and control programs, such as dog population management and control and rabies vaccine allocation. Frontiers Media S.A. 2021-12-21 /pmc/articles/PMC8724437/ /pubmed/34993247 http://dx.doi.org/10.3389/fvets.2021.790701 Text en Copyright © 2021 Thanapongtharm, Kasemsuwan, Wongphruksasoong, Boonyo, Pinyopummintr, Wiratsudakul, Gilbert and Leelahapongsathon. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Veterinary Science
Thanapongtharm, Weerapong
Kasemsuwan, Suwicha
Wongphruksasoong, Vilaiporn
Boonyo, Khemmapat
Pinyopummintr, Tanu
Wiratsudakul, Anuwat
Gilbert, Marius
Leelahapongsathon, Kansuda
Spatial Distribution and Population Estimation of Dogs in Thailand: Implications for Rabies Prevention and Control
title Spatial Distribution and Population Estimation of Dogs in Thailand: Implications for Rabies Prevention and Control
title_full Spatial Distribution and Population Estimation of Dogs in Thailand: Implications for Rabies Prevention and Control
title_fullStr Spatial Distribution and Population Estimation of Dogs in Thailand: Implications for Rabies Prevention and Control
title_full_unstemmed Spatial Distribution and Population Estimation of Dogs in Thailand: Implications for Rabies Prevention and Control
title_short Spatial Distribution and Population Estimation of Dogs in Thailand: Implications for Rabies Prevention and Control
title_sort spatial distribution and population estimation of dogs in thailand: implications for rabies prevention and control
topic Veterinary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724437/
https://www.ncbi.nlm.nih.gov/pubmed/34993247
http://dx.doi.org/10.3389/fvets.2021.790701
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