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Geographical Scale Effects on the Analysis of Leptospirosis Determinants
Leptospirosis displays a great diversity of routes of exposure, reservoirs, etiologic agents, and clinical symptoms. It occurs almost worldwide but its pattern of transmission varies depending where it happens. Climate change may increase the number of cases, especially in developing countries, like...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4210984/ https://www.ncbi.nlm.nih.gov/pubmed/25310536 http://dx.doi.org/10.3390/ijerph111010366 |
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author | Gracie, Renata Barcellos, Christovam Magalhães, Mônica Souza-Santos, Reinaldo Barrocas, Paulo Rubens Guimarães |
author_facet | Gracie, Renata Barcellos, Christovam Magalhães, Mônica Souza-Santos, Reinaldo Barrocas, Paulo Rubens Guimarães |
author_sort | Gracie, Renata |
collection | PubMed |
description | Leptospirosis displays a great diversity of routes of exposure, reservoirs, etiologic agents, and clinical symptoms. It occurs almost worldwide but its pattern of transmission varies depending where it happens. Climate change may increase the number of cases, especially in developing countries, like Brazil. Spatial analysis studies of leptospirosis have highlighted the importance of socioeconomic and environmental context. Hence, the choice of the geographical scale and unit of analysis used in the studies is pivotal, because it restricts the indicators available for the analysis and may bias the results. In this study, we evaluated which environmental and socioeconomic factors, typically used to characterize the risks of leptospirosis transmission, are more relevant at different geographical scales (i.e., regional, municipal, and local). Geographic Information Systems were used for data analysis. Correlations between leptospirosis incidence and several socioeconomic and environmental indicators were calculated at different geographical scales. At the regional scale, the strongest correlations were observed between leptospirosis incidence and the amount of people living in slums, or the percent of the area densely urbanized. At the municipal scale, there were no significant correlations. At the local level, the percent of the area prone to flooding best correlated with leptospirosis incidence. |
format | Online Article Text |
id | pubmed-4210984 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-42109842014-10-28 Geographical Scale Effects on the Analysis of Leptospirosis Determinants Gracie, Renata Barcellos, Christovam Magalhães, Mônica Souza-Santos, Reinaldo Barrocas, Paulo Rubens Guimarães Int J Environ Res Public Health Article Leptospirosis displays a great diversity of routes of exposure, reservoirs, etiologic agents, and clinical symptoms. It occurs almost worldwide but its pattern of transmission varies depending where it happens. Climate change may increase the number of cases, especially in developing countries, like Brazil. Spatial analysis studies of leptospirosis have highlighted the importance of socioeconomic and environmental context. Hence, the choice of the geographical scale and unit of analysis used in the studies is pivotal, because it restricts the indicators available for the analysis and may bias the results. In this study, we evaluated which environmental and socioeconomic factors, typically used to characterize the risks of leptospirosis transmission, are more relevant at different geographical scales (i.e., regional, municipal, and local). Geographic Information Systems were used for data analysis. Correlations between leptospirosis incidence and several socioeconomic and environmental indicators were calculated at different geographical scales. At the regional scale, the strongest correlations were observed between leptospirosis incidence and the amount of people living in slums, or the percent of the area densely urbanized. At the municipal scale, there were no significant correlations. At the local level, the percent of the area prone to flooding best correlated with leptospirosis incidence. MDPI 2014-10-10 2014-10 /pmc/articles/PMC4210984/ /pubmed/25310536 http://dx.doi.org/10.3390/ijerph111010366 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gracie, Renata Barcellos, Christovam Magalhães, Mônica Souza-Santos, Reinaldo Barrocas, Paulo Rubens Guimarães Geographical Scale Effects on the Analysis of Leptospirosis Determinants |
title | Geographical Scale Effects on the Analysis of Leptospirosis Determinants |
title_full | Geographical Scale Effects on the Analysis of Leptospirosis Determinants |
title_fullStr | Geographical Scale Effects on the Analysis of Leptospirosis Determinants |
title_full_unstemmed | Geographical Scale Effects on the Analysis of Leptospirosis Determinants |
title_short | Geographical Scale Effects on the Analysis of Leptospirosis Determinants |
title_sort | geographical scale effects on the analysis of leptospirosis determinants |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4210984/ https://www.ncbi.nlm.nih.gov/pubmed/25310536 http://dx.doi.org/10.3390/ijerph111010366 |
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