DISTRIBUTION MODELS AND SPATIAL ANALYSIS OF RISK OF DOG AND CAT AGGRESSIONS ON HUMANS

• Grant number: 13/13784-0
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: October 01, 2013
• End date: June 30, 2016
• Field of knowledge: Agronomical Sciences - Veterinary Medicine - Preventive Veterinary Medicine
• Principal Investigator: Antonio Sergio Ferraudo
• Grantee: Mirelle Andréa de Carvalho Picinato
• Host Institution: Faculdade de Ciências Agrárias e Veterinárias (FCAV). Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Jaboticabal , SP, Brazil

Abstract

The narrowing of relationship between humans and dogs and cats has increased ominously. This relationship has not been accompanied by posture of responsible ownership and knowledge of possible zoonoses that can be transmitted by these animals, like rabies. Moreover, the attacks of those animals cause hospitalizations and death in all social classes. The aim of this study is to create deterministic and connectionist models that fit the risk of attacks of dogs and cats on humans. Two datasets containing information on the city of Jaboticabal/SP will be used in the analysis: the first one will contain data on the injuries occurred between 2003 and 2009 and will be updated; the second one will contain data colected through questionnaires that will be applied between 2014 and 2016. This information may allow identification of current patterns of dogs/cats aggressors, the general information of the households and owners as well as the behavior of animals which will help assess the dynamics of this process. Statistical descriptive analyzes, exploratorial multivariate analyzes and connectionistic approaches (artificial neural networks) will be used to identify the patterns and process dynamics within the dataset. The structure of spatial correlation of the estimates will be evaluated by Moran global and Local indexes, empirical bayes estimatation of the log odds ratio, normalized functions G and G* and Kernel functions of normal distributions. Risk patterns all over the city will be accessed by the Inverse Distance Weighting (IDW). The Skater function will be used to build multivariate spatial local risk maps. All the results will allow the access to a better understanding of the behavior of agressor animals and associated factors. This could be a helpful tool to use in bites prevention programs, reducing the risks to public health.

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

PICINATO, Mirelle Andréa de Carvalho. Dog bites in humans in the city of Jaboticabal, SP, Brazil from 2014 to 2016. 2017. Doctoral Thesis - Universidade Estadual Paulista (Unesp). Faculdade de Ciências Agrárias e Veterinárias. Jaboticabal Jaboticabal.