Cargando…
Landscape, Environmental and Social Predictors of Hantavirus Risk in São Paulo, Brazil
Hantavirus Pulmonary Syndrome (HPS) is a disease caused by Hantavirus, which are negative-sense RNA viruses in the family Bunyaviridae that are highly virulent to humans. Numerous factors modify risk of Hantavirus transmission and consequent HPS risk. Human-driven landscape change can foster transmi...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079598/ https://www.ncbi.nlm.nih.gov/pubmed/27780250 http://dx.doi.org/10.1371/journal.pone.0163459 |
_version_ | 1782462573150470144 |
---|---|
author | Prist, Paula Ribeiro Uriarte, Maria Tambosi, Leandro Reverberi Prado, Amanda Pardini, Renata D´Andrea, Paulo Sérgio Metzger, Jean Paul |
author_facet | Prist, Paula Ribeiro Uriarte, Maria Tambosi, Leandro Reverberi Prado, Amanda Pardini, Renata D´Andrea, Paulo Sérgio Metzger, Jean Paul |
author_sort | Prist, Paula Ribeiro |
collection | PubMed |
description | Hantavirus Pulmonary Syndrome (HPS) is a disease caused by Hantavirus, which are negative-sense RNA viruses in the family Bunyaviridae that are highly virulent to humans. Numerous factors modify risk of Hantavirus transmission and consequent HPS risk. Human-driven landscape change can foster transmission risk by increasing numbers of habitat generalist rodent species that serve as the principal reservoir host. Climate can also affect rodent population dynamics and Hantavirus survival, and a number of social factors can influence probability of HPS transmission to humans. Evaluating contributions of these factors to HPS risk may enable predictions of future outbreaks, and is critical to development of effective public health strategies. Here we rely on a Bayesian model to quantify associations between annual HPS incidence across the state of São Paulo, Brazil (1993–2012) and climate variables (annual precipitation, annual mean temperature), landscape structure metrics (proportion of native habitat cover, number of forest fragments, proportion of area planted with sugarcane), and social factors (number of men older than 14 years and Human Development Index). We built separate models for the main two biomes of the state (cerrado and Atlantic forest). In both biomes Hantavirus risk increased with proportion of land cultivated for sugarcane and HDI, but proportion of forest cover, annual mean temperature, and population at risk also showed positive relationships in the Atlantic forest. Our analysis provides the first evidence that social, landscape, and climate factors are associated with HPS incidence in the Neotropics. Our risk map can be used to support the adoption of preventive measures and optimize the allocation of resources to avoid disease propagation, especially in municipalities that show medium to high HPS risk (> 5% of risk), and aimed at sugarcane workers, minimizing the risk of future HPS outbreaks. |
format | Online Article Text |
id | pubmed-5079598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-50795982016-11-04 Landscape, Environmental and Social Predictors of Hantavirus Risk in São Paulo, Brazil Prist, Paula Ribeiro Uriarte, Maria Tambosi, Leandro Reverberi Prado, Amanda Pardini, Renata D´Andrea, Paulo Sérgio Metzger, Jean Paul PLoS One Research Article Hantavirus Pulmonary Syndrome (HPS) is a disease caused by Hantavirus, which are negative-sense RNA viruses in the family Bunyaviridae that are highly virulent to humans. Numerous factors modify risk of Hantavirus transmission and consequent HPS risk. Human-driven landscape change can foster transmission risk by increasing numbers of habitat generalist rodent species that serve as the principal reservoir host. Climate can also affect rodent population dynamics and Hantavirus survival, and a number of social factors can influence probability of HPS transmission to humans. Evaluating contributions of these factors to HPS risk may enable predictions of future outbreaks, and is critical to development of effective public health strategies. Here we rely on a Bayesian model to quantify associations between annual HPS incidence across the state of São Paulo, Brazil (1993–2012) and climate variables (annual precipitation, annual mean temperature), landscape structure metrics (proportion of native habitat cover, number of forest fragments, proportion of area planted with sugarcane), and social factors (number of men older than 14 years and Human Development Index). We built separate models for the main two biomes of the state (cerrado and Atlantic forest). In both biomes Hantavirus risk increased with proportion of land cultivated for sugarcane and HDI, but proportion of forest cover, annual mean temperature, and population at risk also showed positive relationships in the Atlantic forest. Our analysis provides the first evidence that social, landscape, and climate factors are associated with HPS incidence in the Neotropics. Our risk map can be used to support the adoption of preventive measures and optimize the allocation of resources to avoid disease propagation, especially in municipalities that show medium to high HPS risk (> 5% of risk), and aimed at sugarcane workers, minimizing the risk of future HPS outbreaks. Public Library of Science 2016-10-25 /pmc/articles/PMC5079598/ /pubmed/27780250 http://dx.doi.org/10.1371/journal.pone.0163459 Text en © 2016 Prist et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Prist, Paula Ribeiro Uriarte, Maria Tambosi, Leandro Reverberi Prado, Amanda Pardini, Renata D´Andrea, Paulo Sérgio Metzger, Jean Paul Landscape, Environmental and Social Predictors of Hantavirus Risk in São Paulo, Brazil |
title | Landscape, Environmental and Social Predictors of Hantavirus Risk in São Paulo, Brazil |
title_full | Landscape, Environmental and Social Predictors of Hantavirus Risk in São Paulo, Brazil |
title_fullStr | Landscape, Environmental and Social Predictors of Hantavirus Risk in São Paulo, Brazil |
title_full_unstemmed | Landscape, Environmental and Social Predictors of Hantavirus Risk in São Paulo, Brazil |
title_short | Landscape, Environmental and Social Predictors of Hantavirus Risk in São Paulo, Brazil |
title_sort | landscape, environmental and social predictors of hantavirus risk in são paulo, brazil |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079598/ https://www.ncbi.nlm.nih.gov/pubmed/27780250 http://dx.doi.org/10.1371/journal.pone.0163459 |
work_keys_str_mv | AT pristpaularibeiro landscapeenvironmentalandsocialpredictorsofhantavirusriskinsaopaulobrazil AT uriartemaria landscapeenvironmentalandsocialpredictorsofhantavirusriskinsaopaulobrazil AT tambosileandroreverberi landscapeenvironmentalandsocialpredictorsofhantavirusriskinsaopaulobrazil AT pradoamanda landscapeenvironmentalandsocialpredictorsofhantavirusriskinsaopaulobrazil AT pardinirenata landscapeenvironmentalandsocialpredictorsofhantavirusriskinsaopaulobrazil AT dandreapaulosergio landscapeenvironmentalandsocialpredictorsofhantavirusriskinsaopaulobrazil AT metzgerjeanpaul landscapeenvironmentalandsocialpredictorsofhantavirusriskinsaopaulobrazil |