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The Effectiveness of Dog Population Management: A Systematic Review.
Smith, Lauren M; Hartmann, Sabine; Munteanu, Alexandru M; Dalla Villa, Paolo; Quinnell, Rupert J; Collins, Lisa M.
Afiliação
  • Smith LM; Faculty of Biological Sciences, University of Leeds, Leeds LS2 9JT, UK.
  • Hartmann S; VIER PFOTEN International, 1150 Vienna, Austria.
  • Munteanu AM; VIER PFOTEN International, 1150 Vienna, Austria.
  • Dalla Villa P; Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise "G. Caporale", 64100 Teramo, Italy.
  • Quinnell RJ; Faculty of Biological Sciences, University of Leeds, Leeds LS2 9JT, UK.
  • Collins LM; Faculty of Biological Sciences, University of Leeds, Leeds LS2 9JT, UK.
Animals (Basel) ; 9(12)2019 Nov 22.
Article em En | MEDLINE | ID: mdl-31766746
The worldwide population of domestic dogs is estimated at approximately 700 million, with around 75% classified as "free-roaming". Where free-roaming dogs exist in high densities, there are significant implications for public health, animal welfare, and wildlife. Approaches to manage dog populations include culling, fertility control, and sheltering. Understanding the effectiveness of each of these interventions is important in guiding future dog population management. We present the results of a systematic review of published studies investigating dog population management, to assess: (1) where and when studies were carried out; (2) what population management methods were used; and (3) what was the effect of the method. We evaluated the reporting quality of the published studies for strength of evidence assessment. The systematic review resulted in a corpus of 39 papers from 15 countries, reporting a wide disparity of approaches and measures of effect. We synthesised the management methods and reported effects. Fertility control was most investigated and had the greatest reported effect on dog population size. Reporting quality was low for power calculations (11%), sample size calculations (11%), and the use of control populations (17%). We provide recommendations for future studies to use common metrics and improve reporting quality, study design, and modelling approaches in order to allow better assessment of the true impact of dog population management.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Idioma: En Ano de publicação: 2019 Tipo de documento: Article