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Estimating the subcritical transmissibility of the Zika outbreak in the State of Florida, USA, 2016

BACKGROUND: Florida State has reported autochthonous transmission of Zika virus since late July 2016. Here we assessed the transmissibility associated with the outbreak and generated a short-term forecast. METHODS: Time-dependent dynamics of imported cases reported in the state of Florida was approx...

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Autores principales: Dinh, Linh, Chowell, Gerardo, Mizumoto, Kenji, Nishiura, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5103397/
https://www.ncbi.nlm.nih.gov/pubmed/27829439
http://dx.doi.org/10.1186/s12976-016-0046-1
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author Dinh, Linh
Chowell, Gerardo
Mizumoto, Kenji
Nishiura, Hiroshi
author_facet Dinh, Linh
Chowell, Gerardo
Mizumoto, Kenji
Nishiura, Hiroshi
author_sort Dinh, Linh
collection PubMed
description BACKGROUND: Florida State has reported autochthonous transmission of Zika virus since late July 2016. Here we assessed the transmissibility associated with the outbreak and generated a short-term forecast. METHODS: Time-dependent dynamics of imported cases reported in the state of Florida was approximated by a logistic growth equation. We estimated the reproduction number using the renewal equation in order to predict the incidence of local cases arising from both local and imported primary cases. Using a bootstrap method together with the logistic and renewal equations, a short-term forecast of local and imported cases was carried out. RESULTS: The reproduction number was estimated at 0.16 (95 % Confidence Interval: 0.13, 0.19). Employing the logistic equation to capture a drastic decline in the number of imported cases expected through the course of 2016, together with the low estimate of the local reproduction number in Florida, the expected number of local reported cases was demonstrated to show an evident declining trend for the remainder of 2016. CONCLUSIONS: The risk of local transmission in the state of Florida is predicted to dramatically decline by the end of 2016.
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spelling pubmed-51033972016-11-10 Estimating the subcritical transmissibility of the Zika outbreak in the State of Florida, USA, 2016 Dinh, Linh Chowell, Gerardo Mizumoto, Kenji Nishiura, Hiroshi Theor Biol Med Model Research BACKGROUND: Florida State has reported autochthonous transmission of Zika virus since late July 2016. Here we assessed the transmissibility associated with the outbreak and generated a short-term forecast. METHODS: Time-dependent dynamics of imported cases reported in the state of Florida was approximated by a logistic growth equation. We estimated the reproduction number using the renewal equation in order to predict the incidence of local cases arising from both local and imported primary cases. Using a bootstrap method together with the logistic and renewal equations, a short-term forecast of local and imported cases was carried out. RESULTS: The reproduction number was estimated at 0.16 (95 % Confidence Interval: 0.13, 0.19). Employing the logistic equation to capture a drastic decline in the number of imported cases expected through the course of 2016, together with the low estimate of the local reproduction number in Florida, the expected number of local reported cases was demonstrated to show an evident declining trend for the remainder of 2016. CONCLUSIONS: The risk of local transmission in the state of Florida is predicted to dramatically decline by the end of 2016. BioMed Central 2016-11-09 /pmc/articles/PMC5103397/ /pubmed/27829439 http://dx.doi.org/10.1186/s12976-016-0046-1 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Dinh, Linh
Chowell, Gerardo
Mizumoto, Kenji
Nishiura, Hiroshi
Estimating the subcritical transmissibility of the Zika outbreak in the State of Florida, USA, 2016
title Estimating the subcritical transmissibility of the Zika outbreak in the State of Florida, USA, 2016
title_full Estimating the subcritical transmissibility of the Zika outbreak in the State of Florida, USA, 2016
title_fullStr Estimating the subcritical transmissibility of the Zika outbreak in the State of Florida, USA, 2016
title_full_unstemmed Estimating the subcritical transmissibility of the Zika outbreak in the State of Florida, USA, 2016
title_short Estimating the subcritical transmissibility of the Zika outbreak in the State of Florida, USA, 2016
title_sort estimating the subcritical transmissibility of the zika outbreak in the state of florida, usa, 2016
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5103397/
https://www.ncbi.nlm.nih.gov/pubmed/27829439
http://dx.doi.org/10.1186/s12976-016-0046-1
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