Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Gracie, Renata, Barcellos, Christovam, Magalhães, Mônica, Souza-Santos, Reinaldo, Barrocas, Paulo Rubens Guimarães
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
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
_version_ 1782341487713845248
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
work_keys_str_mv AT gracierenata geographicalscaleeffectsontheanalysisofleptospirosisdeterminants
AT barcelloschristovam geographicalscaleeffectsontheanalysisofleptospirosisdeterminants
AT magalhaesmonica geographicalscaleeffectsontheanalysisofleptospirosisdeterminants
AT souzasantosreinaldo geographicalscaleeffectsontheanalysisofleptospirosisdeterminants
AT barrocaspaulorubensguimaraes geographicalscaleeffectsontheanalysisofleptospirosisdeterminants