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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Published in:PLoS Neglected Tropical Diseases
Main Authors: Eduardo Stramandinoli Moreno, Rita de Cássia Barradas Barata
Format: Article in Journal/Newspaper
Language:English
Published: Public Library of Science (PLoS) 2012
Subjects:
Online Access:https://doi.org/10.1371/journal.pntd.0001658
https://doaj.org/article/9ef21f69200249fb8a1dff75b2ace844
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spelling 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
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Arctic medicine. Tropical medicine
RC955-962
Public aspects of medicine
RA1-1270
spellingShingle 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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container_title PLoS Neglected Tropical Diseases
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