Methodology for definition of yellow fever priority areas, based on environmental variables and multiple correspondence analyses.
Yellow fever (YF) is endemic in much of Brazil, where cases of the disease are reported every year. Since 2008, outbreaks of the disease have occurred in regions of the country where no reports had been registered for decades, which has obligated public health authorities to redefine risk areas for...
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ftdoajarticles:oai:doaj.org/article:9ef21f69200249fb8a1dff75b2ace844 2023-05-15T15:06:06+02:00 Methodology for definition of yellow fever priority areas, based on environmental variables and multiple correspondence analyses. Eduardo Stramandinoli Moreno Rita de Cássia Barradas Barata 2012-01-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0001658 https://doaj.org/article/9ef21f69200249fb8a1dff75b2ace844 EN eng Public Library of Science (PLoS) http://europepmc.org/articles/PMC3389021?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0001658 https://doaj.org/article/9ef21f69200249fb8a1dff75b2ace844 PLoS Neglected Tropical Diseases, Vol 6, Iss 7, p e1658 (2012) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2012 ftdoajarticles https://doi.org/10.1371/journal.pntd.0001658 2022-12-30T23:12:14Z Yellow fever (YF) is endemic in much of Brazil, where cases of the disease are reported every year. Since 2008, outbreaks of the disease have occurred in regions of the country where no reports had been registered for decades, which has obligated public health authorities to redefine risk areas for the disease. The aim of the present study was to propose a methodology of environmental risk analysis for defining priority municipalities for YF vaccination, using as example, the State of São Paulo, Brazil. The municipalities were divided into two groups (affected and unaffected by YF) and compared based on environmental parameters related to the disease's eco-epidemiology. Bivariate analysis was used to identify statistically significant associations between the variables and virus circulation. Multiple correspondence analysis (MCA) was used to evaluate the relationship among the variables and their contribution to the dynamics of YF in Sao Paulo. The MCA generated a factor that was able to differentiate between affected and unaffected municipalities and was used to determine risk levels. This methodology can be replicated in other regions, standardized, and adapted to each context. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLoS Neglected Tropical Diseases 6 7 e1658 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
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English |
topic |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Eduardo Stramandinoli Moreno Rita de Cássia Barradas Barata Methodology for definition of yellow fever priority areas, based on environmental variables and multiple correspondence analyses. |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
Yellow fever (YF) is endemic in much of Brazil, where cases of the disease are reported every year. Since 2008, outbreaks of the disease have occurred in regions of the country where no reports had been registered for decades, which has obligated public health authorities to redefine risk areas for the disease. The aim of the present study was to propose a methodology of environmental risk analysis for defining priority municipalities for YF vaccination, using as example, the State of São Paulo, Brazil. The municipalities were divided into two groups (affected and unaffected by YF) and compared based on environmental parameters related to the disease's eco-epidemiology. Bivariate analysis was used to identify statistically significant associations between the variables and virus circulation. Multiple correspondence analysis (MCA) was used to evaluate the relationship among the variables and their contribution to the dynamics of YF in Sao Paulo. The MCA generated a factor that was able to differentiate between affected and unaffected municipalities and was used to determine risk levels. This methodology can be replicated in other regions, standardized, and adapted to each context. |
format |
Article in Journal/Newspaper |
author |
Eduardo Stramandinoli Moreno Rita de Cássia Barradas Barata |
author_facet |
Eduardo Stramandinoli Moreno Rita de Cássia Barradas Barata |
author_sort |
Eduardo Stramandinoli Moreno |
title |
Methodology for definition of yellow fever priority areas, based on environmental variables and multiple correspondence analyses. |
title_short |
Methodology for definition of yellow fever priority areas, based on environmental variables and multiple correspondence analyses. |
title_full |
Methodology for definition of yellow fever priority areas, based on environmental variables and multiple correspondence analyses. |
title_fullStr |
Methodology for definition of yellow fever priority areas, based on environmental variables and multiple correspondence analyses. |
title_full_unstemmed |
Methodology for definition of yellow fever priority areas, based on environmental variables and multiple correspondence analyses. |
title_sort |
methodology for definition of yellow fever priority areas, based on environmental variables and multiple correspondence analyses. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2012 |
url |
https://doi.org/10.1371/journal.pntd.0001658 https://doaj.org/article/9ef21f69200249fb8a1dff75b2ace844 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
PLoS Neglected Tropical Diseases, Vol 6, Iss 7, p e1658 (2012) |
op_relation |
http://europepmc.org/articles/PMC3389021?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0001658 https://doaj.org/article/9ef21f69200249fb8a1dff75b2ace844 |
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https://doi.org/10.1371/journal.pntd.0001658 |
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PLoS Neglected Tropical Diseases |
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6 |
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7 |
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e1658 |
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