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Dynamics of Ebola epidemics in West Africa 2014

This paper investigates the dynamics of Ebola virus transmission in West Africa during 2014. The reproduction numbers for the total period of epidemic and for different consequent time intervals are estimated based on a simple linear model. It contains one major parameter - the average infectious pe...

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Detalles Bibliográficos
Autores principales: Evans, Robin J., Mammadov, Musa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4722695/
https://www.ncbi.nlm.nih.gov/pubmed/26834975
http://dx.doi.org/10.12688/f1000research.5941.2
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author Evans, Robin J.
Mammadov, Musa
author_facet Evans, Robin J.
Mammadov, Musa
author_sort Evans, Robin J.
collection PubMed
description This paper investigates the dynamics of Ebola virus transmission in West Africa during 2014. The reproduction numbers for the total period of epidemic and for different consequent time intervals are estimated based on a simple linear model. It contains one major parameter - the average infectious period that defines the dynamics of epidemics. Numerical implementations are carried out on data collected from three countries Guinea, Sierra Leone and Liberia as well as the total data collected worldwide. Predictions are provided by considering different scenarios involving the average times of infectiousness for the next few months and the end of the current epidemic is estimated according to each scenario.
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spelling pubmed-47226952016-01-29 Dynamics of Ebola epidemics in West Africa 2014 Evans, Robin J. Mammadov, Musa F1000Res Research Note This paper investigates the dynamics of Ebola virus transmission in West Africa during 2014. The reproduction numbers for the total period of epidemic and for different consequent time intervals are estimated based on a simple linear model. It contains one major parameter - the average infectious period that defines the dynamics of epidemics. Numerical implementations are carried out on data collected from three countries Guinea, Sierra Leone and Liberia as well as the total data collected worldwide. Predictions are provided by considering different scenarios involving the average times of infectiousness for the next few months and the end of the current epidemic is estimated according to each scenario. F1000Research 2015-05-26 /pmc/articles/PMC4722695/ /pubmed/26834975 http://dx.doi.org/10.12688/f1000research.5941.2 Text en Copyright: © 2015 Evans RJ and Mammadov M http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Note
Evans, Robin J.
Mammadov, Musa
Dynamics of Ebola epidemics in West Africa 2014
title Dynamics of Ebola epidemics in West Africa 2014
title_full Dynamics of Ebola epidemics in West Africa 2014
title_fullStr Dynamics of Ebola epidemics in West Africa 2014
title_full_unstemmed Dynamics of Ebola epidemics in West Africa 2014
title_short Dynamics of Ebola epidemics in West Africa 2014
title_sort dynamics of ebola epidemics in west africa 2014
topic Research Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4722695/
https://www.ncbi.nlm.nih.gov/pubmed/26834975
http://dx.doi.org/10.12688/f1000research.5941.2
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