Non-linear spatial modeling of rat sightings in relation to urban multi-source foci
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INVESTIGACIONMetadatos
Título
Non-linear spatial modeling of rat sightings in relation to urban multi-source fociFecha de publicación
2018-06Editor
ElsevierCita bibliográfica
Ayyad C, et al. Non-linear spatial modeling of rat sightings in relation to urban multi-source foci. J Infect Public Health (2018), https://doi.org/10.1016/j.jiph.2018.05.009Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.sciencedirect.com/science/article/pii/S1876034118300777Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
The brown rat has been living with humans in a wide variety of environmental contexts; it adversely affects public health by transmission of pathogens that can cause human diseases and allergies. Understanding behavioral ... [+]
The brown rat has been living with humans in a wide variety of environmental contexts; it adversely affects public health by transmission of pathogens that can cause human diseases and allergies. Understanding behavioral aspects and environmental factors of pest species can contribute to their effective management and control. This aim of this study was to investigate the spatial distribution of rats in Latina district of Madrid (Spain), and its relationship with several potential multi-source foci. A focus is any particular social and environmental urban scenario that favors the clustering and proliferation of rats. We have developed a statistical framework to provide valid information on the spatial distribution and behavior of the rats around identified potential foci that favor the concentration of rats in urban environments. We extended the standard Poisson regression model by the inclusion of a multiplicative non-linear function of the distance, an unstructured random effect, and a spatial random effect to account for the spatial structure of socio-demographic and environmental covariates were also considered in the model to control for potential confusion. We found evidence of an association between the spatial distribution of rats aggregated by census tracts and distance to foci, and this association was controlled by the covariates considered in this study. [-]
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© 2018 The
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King
Saud
Bin
Abdulaziz
University
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info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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