Rita de Cassia Maria Garcia

Impact of demographic characteristics in pet ownership: Modeling animal count according to owners income and age

Pet owner characteristics such as age, gender, income/social class, marital status, rural/urban residence and household type have been shown to be associated with the number of owned pets. However, few studies to date have attempted to evaluate these associations in Brazil. Accordingly, the aim of this study was to evaluate the association between age and income of owners and the number of owned dogs and cats in a Brazilian urban center. Pinhais, metropolitan area of Curitiba, Southern Brazil, the seventh largest city in Brazil, was chosen for this study. Questionnaires were administered door-to-door between January and February 2007 and data were analyzed by zero-inflated negative binomial (ZINB) models. A total of 13,555 of 30,380 (44.62%) households were interviewed. The majority (62.43%) of households reported having one or more dogs, with one or two dogs being the most common (29.97% and 19.71%, respectively). Cat ownership per household was much lower (P=0.001) than dog ownership, with 90% of the households reported having no owned cats. ZINB analyses indicated that income is not associated with the number of both dogs and cats among households that have pets. However, households from higher income categories were more likely to have dogs (but not cats) when compared to the lowest income category (P<0.05), contradicting a common belief that the poorer the family, the more likely they have pets. Certain age categories were significantly associated with the number of dogs or cats in households that have pets. In addition, most age categories were significantly associated with having dogs and/or cats (P<0.05). In conclusion, our study has found that age but not household income is associated with the number of dogs or cats in households that have pets; higher income households were more likely to have dogs when compared to low-income households.

Abandonment of Dogs and Cats: Public Opinions as Population Management Indicators

ABSTRACT This study involved characterizing public opinions on selected issues related to the abandonment of dogs and cats in Votorantim, São Paulo, Brazil. This goal was achieved by applying multiple correspondence analysis to answers recorded in questionnaires of a population-based survey. The results suggest that the tolerance of potentially problematic behaviors did not depend on the specific kind of behavior, at least among the behaviors evaluated. The opinions given for the most frequent fate of the companion animals did not depend on the species, and those who considered abandonment to be one of the most frequent fates tended to also consider abandonment as a solution to problematic behaviors. The provision of reasons for abandonment was more frequent among interviewees who considered abandonment as one of the more common fates of nonhuman animals and as a solution to problematic behaviors. Population management interventions should be reflected in public opinion, so the public opinion characteristics that were found can be used as indicators of changes generated by such interventions.

Companion animal demography and population management in Pinhais, Brazil

We used a two-stage cluster sampling design to estimate the population sizes of owned dogs and cats in Pinhais, Brazil. For dogs, we simulated the population dynamics using a compartmental model of coupled differential equations, incorporating uncertainties in a global sensitivity analysis and identifying the most influential parameters through local sensitivity analysis. The calibration with the known human population improved precision in population size for dogs but not for cats. Population pyramids had a wide base, and the apparent population turnover was lower than the net population gain. Most immigrants came from the state capital. Projected dog and human growth rates between 2017 and 2027 were positive and similar, while the projected proportion of sterilized dogs decreased over the same period. The main reason provided for not sterilizing animals was the cost of the procedure, even though there were free alternatives. The demographic characterization made in the present study will serve for future comparisons and as a reference in epidemiological contexts. The simulations indicated what to expect in specific scenarios and stressed the need to increase current sterilization rates.