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An interdisciplinary approach to assess human health risk in an urban environment: A case study in temperate Argentina

Unplanned urbanization increases the exposure of people to environmental hazards. Within a landscape ecology framework, this study is a diagnosis of human health risk in San Martín, an urban district of Buenos Aires, Argentina. Risk was estimated by combining four hazard indexes (water and air pollu...

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Autores principales: Morandeira, Natalia Soledad, Castesana, Paula Soledad, Cardo, María Victoria, Salomone, Vanesa Natalia, Vadell, María Victoria, Rubio, Alejandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820090/
https://www.ncbi.nlm.nih.gov/pubmed/31687482
http://dx.doi.org/10.1016/j.heliyon.2019.e02555
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author Morandeira, Natalia Soledad
Castesana, Paula Soledad
Cardo, María Victoria
Salomone, Vanesa Natalia
Vadell, María Victoria
Rubio, Alejandra
author_facet Morandeira, Natalia Soledad
Castesana, Paula Soledad
Cardo, María Victoria
Salomone, Vanesa Natalia
Vadell, María Victoria
Rubio, Alejandra
author_sort Morandeira, Natalia Soledad
collection PubMed
description Unplanned urbanization increases the exposure of people to environmental hazards. Within a landscape ecology framework, this study is a diagnosis of human health risk in San Martín, an urban district of Buenos Aires, Argentina. Risk was estimated by combining four hazard indexes (water and air pollution, and mosquito and rodent infestation) and a vulnerability index. Each index was obtained by integrating environmental and socio-demographic layers in a Geographic Information System. Spatial autocorrelation was assessed for each hazard, vulnerability and risk indexes using Moran's tests. Also, spatial associations between pairs of variables were addressed by means of Geographically Weighted Regressions. The robustness of hazard and vulnerability indexes was checked by a sensitivity analysis. In General San Martín district, 83.3% of the population is exposed to relatively high levels of at least one hazard; 7.4% is exposed to relatively high levels of all hazards (11.5% of the total area) and only 16.7% lives in areas of relatively low levels of all hazards (15.4% of the total area). Areas where hazard intensity was relatively high corresponded to those areas where the most vulnerable population lives, enhancing human health risk. The models for hazards and vulnerability were reasonably robust to changes in the weights of the variables considered. Our results highlight the spatially heterogeneous nature of human health risk in an urban landscape, and reveal the location of critical risk hotspots where reduction or mitigation actions should be focused.
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spelling pubmed-68200902019-11-04 An interdisciplinary approach to assess human health risk in an urban environment: A case study in temperate Argentina Morandeira, Natalia Soledad Castesana, Paula Soledad Cardo, María Victoria Salomone, Vanesa Natalia Vadell, María Victoria Rubio, Alejandra Heliyon Article Unplanned urbanization increases the exposure of people to environmental hazards. Within a landscape ecology framework, this study is a diagnosis of human health risk in San Martín, an urban district of Buenos Aires, Argentina. Risk was estimated by combining four hazard indexes (water and air pollution, and mosquito and rodent infestation) and a vulnerability index. Each index was obtained by integrating environmental and socio-demographic layers in a Geographic Information System. Spatial autocorrelation was assessed for each hazard, vulnerability and risk indexes using Moran's tests. Also, spatial associations between pairs of variables were addressed by means of Geographically Weighted Regressions. The robustness of hazard and vulnerability indexes was checked by a sensitivity analysis. In General San Martín district, 83.3% of the population is exposed to relatively high levels of at least one hazard; 7.4% is exposed to relatively high levels of all hazards (11.5% of the total area) and only 16.7% lives in areas of relatively low levels of all hazards (15.4% of the total area). Areas where hazard intensity was relatively high corresponded to those areas where the most vulnerable population lives, enhancing human health risk. The models for hazards and vulnerability were reasonably robust to changes in the weights of the variables considered. Our results highlight the spatially heterogeneous nature of human health risk in an urban landscape, and reveal the location of critical risk hotspots where reduction or mitigation actions should be focused. Elsevier 2019-10-24 /pmc/articles/PMC6820090/ /pubmed/31687482 http://dx.doi.org/10.1016/j.heliyon.2019.e02555 Text en © 2019 Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Morandeira, Natalia Soledad
Castesana, Paula Soledad
Cardo, María Victoria
Salomone, Vanesa Natalia
Vadell, María Victoria
Rubio, Alejandra
An interdisciplinary approach to assess human health risk in an urban environment: A case study in temperate Argentina
title An interdisciplinary approach to assess human health risk in an urban environment: A case study in temperate Argentina
title_full An interdisciplinary approach to assess human health risk in an urban environment: A case study in temperate Argentina
title_fullStr An interdisciplinary approach to assess human health risk in an urban environment: A case study in temperate Argentina
title_full_unstemmed An interdisciplinary approach to assess human health risk in an urban environment: A case study in temperate Argentina
title_short An interdisciplinary approach to assess human health risk in an urban environment: A case study in temperate Argentina
title_sort interdisciplinary approach to assess human health risk in an urban environment: a case study in temperate argentina
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820090/
https://www.ncbi.nlm.nih.gov/pubmed/31687482
http://dx.doi.org/10.1016/j.heliyon.2019.e02555
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