Monitoring techniques in the capture and adoption of dogs and cats

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