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A modified chain binomial model to analyse the ongoing measles epidemic in Greece, July 2017 to February 2018
Greece is currently experiencing a large measles outbreak, in the context of multiple similar outbreaks across Europe. We devised and applied a modified chain-binomial epidemic model, requiring very simple data, to estimate the transmission parameters of this outbreak. Model results indicate sustain...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Centre for Disease Prevention and Control (ECDC)
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5930726/ https://www.ncbi.nlm.nih.gov/pubmed/29717695 http://dx.doi.org/10.2807/1560-7917.ES.2018.23.17.18-00165 |
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author | Lytras, Theodore Georgakopoulou, Theano Tsiodras, Sotirios |
author_facet | Lytras, Theodore Georgakopoulou, Theano Tsiodras, Sotirios |
author_sort | Lytras, Theodore |
collection | PubMed |
description | Greece is currently experiencing a large measles outbreak, in the context of multiple similar outbreaks across Europe. We devised and applied a modified chain-binomial epidemic model, requiring very simple data, to estimate the transmission parameters of this outbreak. Model results indicate sustained measles transmission among the Greek Roma population, necessitating a targeted mass vaccination campaign to halt further spread of the epidemic. Our model may be useful for other countries facing similar measles outbreaks. |
format | Online Article Text |
id | pubmed-5930726 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | European Centre for Disease Prevention and Control (ECDC) |
record_format | MEDLINE/PubMed |
spelling | pubmed-59307262018-05-09 A modified chain binomial model to analyse the ongoing measles epidemic in Greece, July 2017 to February 2018 Lytras, Theodore Georgakopoulou, Theano Tsiodras, Sotirios Euro Surveill Rapid Communication Greece is currently experiencing a large measles outbreak, in the context of multiple similar outbreaks across Europe. We devised and applied a modified chain-binomial epidemic model, requiring very simple data, to estimate the transmission parameters of this outbreak. Model results indicate sustained measles transmission among the Greek Roma population, necessitating a targeted mass vaccination campaign to halt further spread of the epidemic. Our model may be useful for other countries facing similar measles outbreaks. European Centre for Disease Prevention and Control (ECDC) 2018-04-26 /pmc/articles/PMC5930726/ /pubmed/29717695 http://dx.doi.org/10.2807/1560-7917.ES.2018.23.17.18-00165 Text en This article is copyright of The Authors, 2018. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made. |
spellingShingle | Rapid Communication Lytras, Theodore Georgakopoulou, Theano Tsiodras, Sotirios A modified chain binomial model to analyse the ongoing measles epidemic in Greece, July 2017 to February 2018 |
title | A modified chain binomial model to analyse the ongoing measles epidemic in Greece, July 2017 to February 2018 |
title_full | A modified chain binomial model to analyse the ongoing measles epidemic in Greece, July 2017 to February 2018 |
title_fullStr | A modified chain binomial model to analyse the ongoing measles epidemic in Greece, July 2017 to February 2018 |
title_full_unstemmed | A modified chain binomial model to analyse the ongoing measles epidemic in Greece, July 2017 to February 2018 |
title_short | A modified chain binomial model to analyse the ongoing measles epidemic in Greece, July 2017 to February 2018 |
title_sort | modified chain binomial model to analyse the ongoing measles epidemic in greece, july 2017 to february 2018 |
topic | Rapid Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5930726/ https://www.ncbi.nlm.nih.gov/pubmed/29717695 http://dx.doi.org/10.2807/1560-7917.ES.2018.23.17.18-00165 |
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