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Structure in the variability of the basic reproductive number (R(0)) for Zika epidemics in the Pacific islands
Before the outbreak that reached the Americas in 2015, Zika virus (ZIKV) circulated in Asia and the Pacific: these past epidemics can be highly informative on the key parameters driving virus transmission, such as the basic reproduction number ([Formula: see text]). We compare two compartmental mode...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5262383/ https://www.ncbi.nlm.nih.gov/pubmed/27897973 http://dx.doi.org/10.7554/eLife.19874 |
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author | Champagne, Clara Salthouse, David Georges Paul, Richard Cao-Lormeau, Van-Mai Roche, Benjamin Cazelles, Bernard |
author_facet | Champagne, Clara Salthouse, David Georges Paul, Richard Cao-Lormeau, Van-Mai Roche, Benjamin Cazelles, Bernard |
author_sort | Champagne, Clara |
collection | PubMed |
description | Before the outbreak that reached the Americas in 2015, Zika virus (ZIKV) circulated in Asia and the Pacific: these past epidemics can be highly informative on the key parameters driving virus transmission, such as the basic reproduction number ([Formula: see text]). We compare two compartmental models with different mosquito representations, using surveillance and seroprevalence data for several ZIKV outbreaks in Pacific islands (Yap, Micronesia 2007, Tahiti and Moorea, French Polynesia 2013-2014, New Caledonia 2014). Models are estimated in a stochastic framework with recent Bayesian techniques. [Formula: see text] for the Pacific ZIKV epidemics is estimated between 1.5 and 4.1, the smallest islands displaying higher and more variable values. This relatively low range of [Formula: see text] suggests that intervention strategies developed for other flaviviruses should enable as, if not more effective control of ZIKV. Our study also highlights the importance of seroprevalence data for precise quantitative analysis of pathogen propagation, to design prevention and control strategies. DOI: http://dx.doi.org/10.7554/eLife.19874.001 |
format | Online Article Text |
id | pubmed-5262383 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-52623832017-02-01 Structure in the variability of the basic reproductive number (R(0)) for Zika epidemics in the Pacific islands Champagne, Clara Salthouse, David Georges Paul, Richard Cao-Lormeau, Van-Mai Roche, Benjamin Cazelles, Bernard eLife Epidemiology and Global Health Before the outbreak that reached the Americas in 2015, Zika virus (ZIKV) circulated in Asia and the Pacific: these past epidemics can be highly informative on the key parameters driving virus transmission, such as the basic reproduction number ([Formula: see text]). We compare two compartmental models with different mosquito representations, using surveillance and seroprevalence data for several ZIKV outbreaks in Pacific islands (Yap, Micronesia 2007, Tahiti and Moorea, French Polynesia 2013-2014, New Caledonia 2014). Models are estimated in a stochastic framework with recent Bayesian techniques. [Formula: see text] for the Pacific ZIKV epidemics is estimated between 1.5 and 4.1, the smallest islands displaying higher and more variable values. This relatively low range of [Formula: see text] suggests that intervention strategies developed for other flaviviruses should enable as, if not more effective control of ZIKV. Our study also highlights the importance of seroprevalence data for precise quantitative analysis of pathogen propagation, to design prevention and control strategies. DOI: http://dx.doi.org/10.7554/eLife.19874.001 eLife Sciences Publications, Ltd 2016-11-29 /pmc/articles/PMC5262383/ /pubmed/27897973 http://dx.doi.org/10.7554/eLife.19874 Text en © 2016, Champagne et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Epidemiology and Global Health Champagne, Clara Salthouse, David Georges Paul, Richard Cao-Lormeau, Van-Mai Roche, Benjamin Cazelles, Bernard Structure in the variability of the basic reproductive number (R(0)) for Zika epidemics in the Pacific islands |
title | Structure in the variability of the basic reproductive number (R(0)) for Zika epidemics in the Pacific islands |
title_full | Structure in the variability of the basic reproductive number (R(0)) for Zika epidemics in the Pacific islands |
title_fullStr | Structure in the variability of the basic reproductive number (R(0)) for Zika epidemics in the Pacific islands |
title_full_unstemmed | Structure in the variability of the basic reproductive number (R(0)) for Zika epidemics in the Pacific islands |
title_short | Structure in the variability of the basic reproductive number (R(0)) for Zika epidemics in the Pacific islands |
title_sort | structure in the variability of the basic reproductive number (r(0)) for zika epidemics in the pacific islands |
topic | Epidemiology and Global Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5262383/ https://www.ncbi.nlm.nih.gov/pubmed/27897973 http://dx.doi.org/10.7554/eLife.19874 |
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