Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1782466582050504704 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5103397 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT dinhlinh estimatingthesubcriticaltransmissibilityofthezikaoutbreakinthestateoffloridausa2016 AT chowellgerardo estimatingthesubcriticaltransmissibilityofthezikaoutbreakinthestateoffloridausa2016 AT mizumotokenji estimatingthesubcriticaltransmissibilityofthezikaoutbreakinthestateoffloridausa2016 AT nishiurahiroshi estimatingthesubcriticaltransmissibilityofthezikaoutbreakinthestateoffloridausa2016 |