Cargando…

Determination of the spatial susceptibility to Yellow Fever using a multicriteria analysis

BACKGROUND: The outbreak of sylvatic Yellow Fever (SYF) in humans during 2016-2017 in Brazil is one of the greatest in the history of the disease. The occurrence of the disease in areas with low vaccination coverage favoured the dissemination of the disease; therefore, it is necessary to identify th...

Descripción completa

Detalles Bibliográficos
Autores principales: de Paiva, Camilla Adriane, Oliveira, Adriana Paulo de Sousa, Muniz, Samuel Soares, Calijuri, Maria Lúcia, dos Santos, Vitor Juste, Alves, Sabrina do Carmo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Instituto Oswaldo Cruz, Ministério da Saúde 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6506150/
https://www.ncbi.nlm.nih.gov/pubmed/31066755
http://dx.doi.org/10.1590/0074-02760180509
_version_ 1783416834839543808
author de Paiva, Camilla Adriane
Oliveira, Adriana Paulo de Sousa
Muniz, Samuel Soares
Calijuri, Maria Lúcia
dos Santos, Vitor Juste
Alves, Sabrina do Carmo
author_facet de Paiva, Camilla Adriane
Oliveira, Adriana Paulo de Sousa
Muniz, Samuel Soares
Calijuri, Maria Lúcia
dos Santos, Vitor Juste
Alves, Sabrina do Carmo
author_sort de Paiva, Camilla Adriane
collection PubMed
description BACKGROUND: The outbreak of sylvatic Yellow Fever (SYF) in humans during 2016-2017 in Brazil is one of the greatest in the history of the disease. The occurrence of the disease in areas with low vaccination coverage favoured the dissemination of the disease; therefore, it is necessary to identify the areas vulnerability to the YF virus (YFV) to assist in the adoption of preventive measures. OBJECTIVE: To correlate the physical-environmental elements associated with the occurrence of SYF in humans via a multicriteria analysis. METHODS: For the multicriteria analysis, preponderant elements related to SYF occurrences, including soil usage and coverage, temperature, precipitation, altitude, mosquito transmitters, and non-human primate occurrence areas, were considered. The results were validated by assessing the correlation between the incidence of SYF and the vulnerable areas identified in the multicriteria analysis. RESULTS: Two regions with different vulnerability to the occurrence of the disease were identified in the multicriteria analysis, with emphasis on the southern areas of the state of São Paulo northeast areas of Minas Gerais, and the entire states of Rio de Janeiro and Espírito Santo. The map of SYF vulnerability obtained in the multicriteria analysis coincides with the areas in which cases of the disease have been recorded. The regions that presented the greatest suitability were in fact the municipalities with the highest incidence. MAIN CONCLUSIONS: The multicriteria analysis revealed that the elements that were used are suited for and consistent in the prediction of the areas that are vulnerable to SYF. The results obtained indicate the proximity of the areas that are most vulnerable to the disease to densely populated areas where an Aedes aegypti infestation was observed, which confers a high risk of re-urbanisation of YF.
format Online
Article
Text
id pubmed-6506150
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Instituto Oswaldo Cruz, Ministério da Saúde
record_format MEDLINE/PubMed
spelling pubmed-65061502019-05-17 Determination of the spatial susceptibility to Yellow Fever using a multicriteria analysis de Paiva, Camilla Adriane Oliveira, Adriana Paulo de Sousa Muniz, Samuel Soares Calijuri, Maria Lúcia dos Santos, Vitor Juste Alves, Sabrina do Carmo Mem Inst Oswaldo Cruz Original Article BACKGROUND: The outbreak of sylvatic Yellow Fever (SYF) in humans during 2016-2017 in Brazil is one of the greatest in the history of the disease. The occurrence of the disease in areas with low vaccination coverage favoured the dissemination of the disease; therefore, it is necessary to identify the areas vulnerability to the YF virus (YFV) to assist in the adoption of preventive measures. OBJECTIVE: To correlate the physical-environmental elements associated with the occurrence of SYF in humans via a multicriteria analysis. METHODS: For the multicriteria analysis, preponderant elements related to SYF occurrences, including soil usage and coverage, temperature, precipitation, altitude, mosquito transmitters, and non-human primate occurrence areas, were considered. The results were validated by assessing the correlation between the incidence of SYF and the vulnerable areas identified in the multicriteria analysis. RESULTS: Two regions with different vulnerability to the occurrence of the disease were identified in the multicriteria analysis, with emphasis on the southern areas of the state of São Paulo northeast areas of Minas Gerais, and the entire states of Rio de Janeiro and Espírito Santo. The map of SYF vulnerability obtained in the multicriteria analysis coincides with the areas in which cases of the disease have been recorded. The regions that presented the greatest suitability were in fact the municipalities with the highest incidence. MAIN CONCLUSIONS: The multicriteria analysis revealed that the elements that were used are suited for and consistent in the prediction of the areas that are vulnerable to SYF. The results obtained indicate the proximity of the areas that are most vulnerable to the disease to densely populated areas where an Aedes aegypti infestation was observed, which confers a high risk of re-urbanisation of YF. Instituto Oswaldo Cruz, Ministério da Saúde 2019-05-06 /pmc/articles/PMC6506150/ /pubmed/31066755 http://dx.doi.org/10.1590/0074-02760180509 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 Original Article
de Paiva, Camilla Adriane
Oliveira, Adriana Paulo de Sousa
Muniz, Samuel Soares
Calijuri, Maria Lúcia
dos Santos, Vitor Juste
Alves, Sabrina do Carmo
Determination of the spatial susceptibility to Yellow Fever using a multicriteria analysis
title Determination of the spatial susceptibility to Yellow Fever using a multicriteria analysis
title_full Determination of the spatial susceptibility to Yellow Fever using a multicriteria analysis
title_fullStr Determination of the spatial susceptibility to Yellow Fever using a multicriteria analysis
title_full_unstemmed Determination of the spatial susceptibility to Yellow Fever using a multicriteria analysis
title_short Determination of the spatial susceptibility to Yellow Fever using a multicriteria analysis
title_sort determination of the spatial susceptibility to yellow fever using a multicriteria analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6506150/
https://www.ncbi.nlm.nih.gov/pubmed/31066755
http://dx.doi.org/10.1590/0074-02760180509
work_keys_str_mv AT depaivacamillaadriane determinationofthespatialsusceptibilitytoyellowfeverusingamulticriteriaanalysis
AT oliveiraadrianapaulodesousa determinationofthespatialsusceptibilitytoyellowfeverusingamulticriteriaanalysis
AT munizsamuelsoares determinationofthespatialsusceptibilitytoyellowfeverusingamulticriteriaanalysis
AT calijurimarialucia determinationofthespatialsusceptibilitytoyellowfeverusingamulticriteriaanalysis
AT dossantosvitorjuste determinationofthespatialsusceptibilitytoyellowfeverusingamulticriteriaanalysis
AT alvessabrinadocarmo determinationofthespatialsusceptibilitytoyellowfeverusingamulticriteriaanalysis