Title |
Methods used to estimate the size of the owned cat and dog population: a systematic review
|
---|---|
Published in |
BMC Veterinary Research, June 2013
|
DOI | 10.1186/1746-6148-9-121 |
Pubmed ID | |
Authors |
Martin J Downes, Rachel S Dean, Jenny H Stavisky, Vicki J Adams, Douglas JC Grindlay, Marnie L Brennan |
Abstract |
There are a number of different methods that can be used when estimating the size of the owned cat and dog population in a region, leading to varying population estimates. The aim of this study was to conduct a systematic review to evaluate the methods that have been used for estimating the sizes of owned cat and dog populations and to assess the biases associated with those methods.A comprehensive, systematic search of seven electronic bibliographic databases and the Google search engine was carried out using a range of different search terms for cats, dogs and population. The inclusion criteria were that the studies had involved owned or pet domestic dogs and/or cats, provided an estimate of the size of the owned dog or cat population, collected raw data on dog and cat ownership, and analysed primary data. Data relating to study methodology were extracted and assessed for biases. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 1% |
Chile | 1 | <1% |
Portugal | 1 | <1% |
Austria | 1 | <1% |
Russia | 1 | <1% |
Unknown | 186 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 39 | 20% |
Researcher | 33 | 17% |
Student > Bachelor | 19 | 10% |
Student > Ph. D. Student | 17 | 9% |
Other | 11 | 6% |
Other | 38 | 20% |
Unknown | 35 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Veterinary Science and Veterinary Medicine | 61 | 32% |
Agricultural and Biological Sciences | 48 | 25% |
Medicine and Dentistry | 13 | 7% |
Social Sciences | 6 | 3% |
Environmental Science | 5 | 3% |
Other | 22 | 11% |
Unknown | 37 | 19% |