TY - JOUR
T1 - Environmental correlates of urban dog bites
T2 - A spatial analysis
AU - Vertalka, Joshua
AU - Reese, Laura A.
AU - Wilkins, Melinda J.
AU - Pizarro-Terrill, Jesenia
N1 - Funding Information:
This research has been supported by a grant from the S3 Collaborative Grant Program at Michigan State University.
Publisher Copyright:
© 2018 Urban Affairs Association.
PY - 2018/4/3
Y1 - 2018/4/3
N2 - To be able to design effective urban public health programs to reduce the risk of dog bites and transmission of disease, the very complex factors that lead to bites need to be considered holistically. This research focuses specifically on the role of spatial and environmental factors as urban public health risks. In doing this, it addresses the following research questions: (1) What are the relative powers of traditional demographic versus environmental variables in explaining dog bites? (2) Do different areas of the city evidence different correlates of bites? The answer to the first is that despite a long tradition in the literature, demographic variables do a relatively poor job of explaining variation in the rates of emergency room visits due to dog bites. Rather, environmental and spatial variables, particularly crime, vacancy, and blight, are better predictors of dog bites than traditional demographic variables such as age and gender. However, even the best-fitting regression model leaves dog bites in many areas of a city unexplained; bite covariates differ by neighborhood. Thus, to effectively address the risk of dog bites in urban areas, different policies are required for different neighborhood conditions.
AB - To be able to design effective urban public health programs to reduce the risk of dog bites and transmission of disease, the very complex factors that lead to bites need to be considered holistically. This research focuses specifically on the role of spatial and environmental factors as urban public health risks. In doing this, it addresses the following research questions: (1) What are the relative powers of traditional demographic versus environmental variables in explaining dog bites? (2) Do different areas of the city evidence different correlates of bites? The answer to the first is that despite a long tradition in the literature, demographic variables do a relatively poor job of explaining variation in the rates of emergency room visits due to dog bites. Rather, environmental and spatial variables, particularly crime, vacancy, and blight, are better predictors of dog bites than traditional demographic variables such as age and gender. However, even the best-fitting regression model leaves dog bites in many areas of a city unexplained; bite covariates differ by neighborhood. Thus, to effectively address the risk of dog bites in urban areas, different policies are required for different neighborhood conditions.
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U2 - 10.1080/07352166.2017.1355666
DO - 10.1080/07352166.2017.1355666
M3 - Article
AN - SCOPUS:85041581943
SN - 0735-2166
VL - 40
SP - 311
EP - 328
JO - Journal of Urban Affairs
JF - Journal of Urban Affairs
IS - 3
ER -