Monitoring techniques in the capture and adoption of dogs and cats

Submitted: 26 February 2015
Accepted: 13 April 2015
Published: 4 November 2015
Abstract Views: 3674
PDF: 1484
HTML: 1459
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Authors

The continuous improvement of the information systems of organizations that work toward the control of stray dog and cat populations facilitates the implementation of programs aimed at reducing the number of animals that roam free in public streets. This study aimed to present techniques to improve the understanding of the spatial distribution of stray dogs and cats and of people who adopt these animals and the fate of these animals in zoonosis control centers (ZCC). Ripley's K function was used with a Euclidean distance graph to detect the distribution pattern of dogs and cats captured and of the people who adopted these animals. An estimate of the kernel density was used to allow a better assessment of the spatial distribution of the phenomenon studied. The results showed that the distribution of captured animals and of the people who adopted these animals form a spatial cluster (p = 0.01). Most of the animals were captured near the premises of the ZCC and near the downtown area. Factors such as the abandonment of animals near animal control agencies and the availability of food sources are the main hypotheses associated to the distribution of the captures. The awareness of the people who live in places where there is a greater number of stray animals and the distribution of the urban population are the main hypotheses to explain the distribution of the adoptions. The results will help to implement control measures over these populations in the most problematic areas.

Dimensions

Altmetric

PlumX Metrics

Downloads

Download data is not yet available.

Citations

How to Cite

Ardila Galvis, J. O., Santos Baquero, O., Dias, R. A., Ferreira, F., Nestori Chiozzotto, E., & Grisi-Filho, J. H. H. (2015). Monitoring techniques in the capture and adoption of dogs and cats. Geospatial Health, 10(2). https://doi.org/10.4081/gh.2015.339