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Spatial analysis and factors associated with leptospirosis in Santa Catarina, Brazil, 2001-2015
INTRODUCTION: Leptospirosis is an endemic disease in Brazil that can become an epidemic during the rainy season resulting from floods in areas susceptible to natural disasters. These areas are widespread in Santa Catarina, particularly in the coastal region. Therefore, the objective of this study wa...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade Brasileira de Medicina Tropical - SBMT
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7747807/ https://www.ncbi.nlm.nih.gov/pubmed/33331610 http://dx.doi.org/10.1590/0037-8682-0466-2020 |
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author | Silva, Ana Elisa Pereira Conceição, Gleice Margarete de Souza Chiaravalloti, Francisco |
author_facet | Silva, Ana Elisa Pereira Conceição, Gleice Margarete de Souza Chiaravalloti, Francisco |
author_sort | Silva, Ana Elisa Pereira |
collection | PubMed |
description | INTRODUCTION: Leptospirosis is an endemic disease in Brazil that can become an epidemic during the rainy season resulting from floods in areas susceptible to natural disasters. These areas are widespread in Santa Catarina, particularly in the coastal region. Therefore, the objective of this study was to identify environmental, climatic, and demographic factors associated with the incidence of leptospirosis in the municipalities of Santa Catarina from 2001 to 2015, taking into account possible spatial dependence. METHODS: This was an ecological study aggregated by municipality. To evaluate the association between the incidence of leptospirosis and the factors under study (temperature, altitude, occurrence of natural disasters, etc.) while taking into account spatial dependence, linear regression models and models with global spatial error were used. RESULTS: Lower altitudes, higher temperatures, and areas of natural disaster risk in the municipality contributed the most to explaining the variability in the incidence rate. After taking spatial dependence into account, only the minimum altitude variable remained significant. The regions of lower altitude, where the highest rates of leptospirosis were recorded, corresponded to the eastern portion of the state near the coastal region, where floods, urban floods, and overflows are common occurrences. No associations were found concerning demographic factors. CONCLUSIONS: The incidence of leptospirosis in Santa Catarina was associated with environmental factors, particularly low altitude, even when considering the spatial dependence structure present in the data. The spatial error model allowed for adequate modeling of spatial autocorrelation. |
format | Online Article Text |
id | pubmed-7747807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Sociedade Brasileira de Medicina Tropical - SBMT |
record_format | MEDLINE/PubMed |
spelling | pubmed-77478072020-12-22 Spatial analysis and factors associated with leptospirosis in Santa Catarina, Brazil, 2001-2015 Silva, Ana Elisa Pereira Conceição, Gleice Margarete de Souza Chiaravalloti, Francisco Rev Soc Bras Med Trop Major Article INTRODUCTION: Leptospirosis is an endemic disease in Brazil that can become an epidemic during the rainy season resulting from floods in areas susceptible to natural disasters. These areas are widespread in Santa Catarina, particularly in the coastal region. Therefore, the objective of this study was to identify environmental, climatic, and demographic factors associated with the incidence of leptospirosis in the municipalities of Santa Catarina from 2001 to 2015, taking into account possible spatial dependence. METHODS: This was an ecological study aggregated by municipality. To evaluate the association between the incidence of leptospirosis and the factors under study (temperature, altitude, occurrence of natural disasters, etc.) while taking into account spatial dependence, linear regression models and models with global spatial error were used. RESULTS: Lower altitudes, higher temperatures, and areas of natural disaster risk in the municipality contributed the most to explaining the variability in the incidence rate. After taking spatial dependence into account, only the minimum altitude variable remained significant. The regions of lower altitude, where the highest rates of leptospirosis were recorded, corresponded to the eastern portion of the state near the coastal region, where floods, urban floods, and overflows are common occurrences. No associations were found concerning demographic factors. CONCLUSIONS: The incidence of leptospirosis in Santa Catarina was associated with environmental factors, particularly low altitude, even when considering the spatial dependence structure present in the data. The spatial error model allowed for adequate modeling of spatial autocorrelation. Sociedade Brasileira de Medicina Tropical - SBMT 2020-12-11 /pmc/articles/PMC7747807/ /pubmed/33331610 http://dx.doi.org/10.1590/0037-8682-0466-2020 Text en https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License |
spellingShingle | Major Article Silva, Ana Elisa Pereira Conceição, Gleice Margarete de Souza Chiaravalloti, Francisco Spatial analysis and factors associated with leptospirosis in Santa Catarina, Brazil, 2001-2015 |
title | Spatial analysis and factors associated with leptospirosis in Santa Catarina, Brazil, 2001-2015 |
title_full | Spatial analysis and factors associated with leptospirosis in Santa Catarina, Brazil, 2001-2015 |
title_fullStr | Spatial analysis and factors associated with leptospirosis in Santa Catarina, Brazil, 2001-2015 |
title_full_unstemmed | Spatial analysis and factors associated with leptospirosis in Santa Catarina, Brazil, 2001-2015 |
title_short | Spatial analysis and factors associated with leptospirosis in Santa Catarina, Brazil, 2001-2015 |
title_sort | spatial analysis and factors associated with leptospirosis in santa catarina, brazil, 2001-2015 |
topic | Major Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7747807/ https://www.ncbi.nlm.nih.gov/pubmed/33331610 http://dx.doi.org/10.1590/0037-8682-0466-2020 |
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