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Estimating under-observation and the full size of the 2016 Zika epidemic in Rio de Janeiro

The 2015-16 Zika epidemic spread quickly from north to south in Brazil. Two striking features were the much higher incidence in young adult women due to sexual transmission, and the serious congenital malformations and miscarriages associated to Zika infection in pregnant women. In this paper we use...

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Detalles Bibliográficos
Autores principales: Bastos, Marcio M., Coelho, Flávio Codeço
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6193587/
https://www.ncbi.nlm.nih.gov/pubmed/30312300
http://dx.doi.org/10.1371/journal.pone.0205001
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author Bastos, Marcio M.
Coelho, Flávio Codeço
author_facet Bastos, Marcio M.
Coelho, Flávio Codeço
author_sort Bastos, Marcio M.
collection PubMed
description The 2015-16 Zika epidemic spread quickly from north to south in Brazil. Two striking features were the much higher incidence in young adult women due to sexual transmission, and the serious congenital malformations and miscarriages associated to Zika infection in pregnant women. In this paper we use case reporting data along with live-birth records to reconstruct the full size of the epidemic through a Bayesian probabilistic graph model representing the Zika transmission probabilities of observation (case reporting) and of birth loss (through miscarriage or abortion). We find that the probability of observing (reporting) a Zika case is different between men and women and ranges between 10 to 13%. From these estimates we reconstruct the full size of the Zika epidemic in Rio de Janeiro in 2015-16.
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spelling pubmed-61935872018-11-05 Estimating under-observation and the full size of the 2016 Zika epidemic in Rio de Janeiro Bastos, Marcio M. Coelho, Flávio Codeço PLoS One Research Article The 2015-16 Zika epidemic spread quickly from north to south in Brazil. Two striking features were the much higher incidence in young adult women due to sexual transmission, and the serious congenital malformations and miscarriages associated to Zika infection in pregnant women. In this paper we use case reporting data along with live-birth records to reconstruct the full size of the epidemic through a Bayesian probabilistic graph model representing the Zika transmission probabilities of observation (case reporting) and of birth loss (through miscarriage or abortion). We find that the probability of observing (reporting) a Zika case is different between men and women and ranges between 10 to 13%. From these estimates we reconstruct the full size of the Zika epidemic in Rio de Janeiro in 2015-16. Public Library of Science 2018-10-12 /pmc/articles/PMC6193587/ /pubmed/30312300 http://dx.doi.org/10.1371/journal.pone.0205001 Text en © 2018 Bastos, Coelho 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
Bastos, Marcio M.
Coelho, Flávio Codeço
Estimating under-observation and the full size of the 2016 Zika epidemic in Rio de Janeiro
title Estimating under-observation and the full size of the 2016 Zika epidemic in Rio de Janeiro
title_full Estimating under-observation and the full size of the 2016 Zika epidemic in Rio de Janeiro
title_fullStr Estimating under-observation and the full size of the 2016 Zika epidemic in Rio de Janeiro
title_full_unstemmed Estimating under-observation and the full size of the 2016 Zika epidemic in Rio de Janeiro
title_short Estimating under-observation and the full size of the 2016 Zika epidemic in Rio de Janeiro
title_sort estimating under-observation and the full size of the 2016 zika epidemic in rio de janeiro
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6193587/
https://www.ncbi.nlm.nih.gov/pubmed/30312300
http://dx.doi.org/10.1371/journal.pone.0205001
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