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Using the Gravity Model to Estimate the Spatial Spread of Vector-Borne Diseases

The gravity models are commonly used spatial interaction models. They have been widely applied in a large set of domains dealing with interactions amongst spatial entities. The spread of vector-borne diseases is also related to the intensity of interaction between spatial entities, namely, the physi...

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Detalles Bibliográficos
Autores principales: Barrios, José Miguel, Verstraeten, Willem W., Maes, Piet, Aerts, Jean-Marie, Farifteh, Jamshid, Coppin, Pol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3546766/
https://www.ncbi.nlm.nih.gov/pubmed/23202882
http://dx.doi.org/10.3390/ijerph9124346
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author Barrios, José Miguel
Verstraeten, Willem W.
Maes, Piet
Aerts, Jean-Marie
Farifteh, Jamshid
Coppin, Pol
author_facet Barrios, José Miguel
Verstraeten, Willem W.
Maes, Piet
Aerts, Jean-Marie
Farifteh, Jamshid
Coppin, Pol
author_sort Barrios, José Miguel
collection PubMed
description The gravity models are commonly used spatial interaction models. They have been widely applied in a large set of domains dealing with interactions amongst spatial entities. The spread of vector-borne diseases is also related to the intensity of interaction between spatial entities, namely, the physical habitat of pathogens’ vectors and/or hosts, and urban areas, thus humans. This study implements the concept behind gravity models in the spatial spread of two vector-borne diseases, nephropathia epidemica and Lyme borreliosis, based on current knowledge on the transmission mechanism of these diseases. Two sources of information on vegetated systems were tested: the CORINE land cover map and MODIS NDVI. The size of vegetated areas near urban centers and a local indicator of occupation-related exposure were found significant predictors of disease risk. Both the land cover map and the space-borne dataset were suited yet not equivalent input sources to locate and measure vegetated areas of importance for disease spread. The overall results point at the compatibility of the gravity model concept and the spatial spread of vector-borne diseases.
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spelling pubmed-35467662013-02-09 Using the Gravity Model to Estimate the Spatial Spread of Vector-Borne Diseases Barrios, José Miguel Verstraeten, Willem W. Maes, Piet Aerts, Jean-Marie Farifteh, Jamshid Coppin, Pol Int J Environ Res Public Health Article The gravity models are commonly used spatial interaction models. They have been widely applied in a large set of domains dealing with interactions amongst spatial entities. The spread of vector-borne diseases is also related to the intensity of interaction between spatial entities, namely, the physical habitat of pathogens’ vectors and/or hosts, and urban areas, thus humans. This study implements the concept behind gravity models in the spatial spread of two vector-borne diseases, nephropathia epidemica and Lyme borreliosis, based on current knowledge on the transmission mechanism of these diseases. Two sources of information on vegetated systems were tested: the CORINE land cover map and MODIS NDVI. The size of vegetated areas near urban centers and a local indicator of occupation-related exposure were found significant predictors of disease risk. Both the land cover map and the space-borne dataset were suited yet not equivalent input sources to locate and measure vegetated areas of importance for disease spread. The overall results point at the compatibility of the gravity model concept and the spatial spread of vector-borne diseases. MDPI 2012-11-30 2012-12 /pmc/articles/PMC3546766/ /pubmed/23202882 http://dx.doi.org/10.3390/ijerph9124346 Text en © 2012 by the authors; licensee MDPI, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0/ This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Barrios, José Miguel
Verstraeten, Willem W.
Maes, Piet
Aerts, Jean-Marie
Farifteh, Jamshid
Coppin, Pol
Using the Gravity Model to Estimate the Spatial Spread of Vector-Borne Diseases
title Using the Gravity Model to Estimate the Spatial Spread of Vector-Borne Diseases
title_full Using the Gravity Model to Estimate the Spatial Spread of Vector-Borne Diseases
title_fullStr Using the Gravity Model to Estimate the Spatial Spread of Vector-Borne Diseases
title_full_unstemmed Using the Gravity Model to Estimate the Spatial Spread of Vector-Borne Diseases
title_short Using the Gravity Model to Estimate the Spatial Spread of Vector-Borne Diseases
title_sort using the gravity model to estimate the spatial spread of vector-borne diseases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3546766/
https://www.ncbi.nlm.nih.gov/pubmed/23202882
http://dx.doi.org/10.3390/ijerph9124346
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