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A Model of the 2014 Ebola Epidemic in West Africa with Contact Tracing

A differential equations model is developed for the 2014 Ebola epidemics in Sierra Leone and Liberia. The model describes the dynamic interactions of the susceptible and infected populations of these countries. The model incorporates the principle features of contact tracing, namely, the number of c...

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Autores principales: Webb, Glenn, Browne, Cameron, Huo, Xi, Seydi, Ousmane, Seydi, Moussa, Magal, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4323422/
https://www.ncbi.nlm.nih.gov/pubmed/25685636
http://dx.doi.org/10.1371/currents.outbreaks.846b2a31ef37018b7d1126a9c8adf22a
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author Webb, Glenn
Browne, Cameron
Huo, Xi
Seydi, Ousmane
Seydi, Moussa
Magal, Pierre
author_facet Webb, Glenn
Browne, Cameron
Huo, Xi
Seydi, Ousmane
Seydi, Moussa
Magal, Pierre
author_sort Webb, Glenn
collection PubMed
description A differential equations model is developed for the 2014 Ebola epidemics in Sierra Leone and Liberia. The model describes the dynamic interactions of the susceptible and infected populations of these countries. The model incorporates the principle features of contact tracing, namely, the number of contacts per identified infectious case, the likelihood that a traced contact is infectious, and the efficiency of the contact tracing process. The model is first fitted to current cumulative reported case data in each country. The data fitted simulations are then projected forward in time, with varying parameter regimes corresponding to contact tracing efficiencies. These projections quantify the importance of the identification, isolation, and contact tracing processes for containment of the epidemics.
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spelling pubmed-43234222015-02-13 A Model of the 2014 Ebola Epidemic in West Africa with Contact Tracing Webb, Glenn Browne, Cameron Huo, Xi Seydi, Ousmane Seydi, Moussa Magal, Pierre PLoS Curr Research A differential equations model is developed for the 2014 Ebola epidemics in Sierra Leone and Liberia. The model describes the dynamic interactions of the susceptible and infected populations of these countries. The model incorporates the principle features of contact tracing, namely, the number of contacts per identified infectious case, the likelihood that a traced contact is infectious, and the efficiency of the contact tracing process. The model is first fitted to current cumulative reported case data in each country. The data fitted simulations are then projected forward in time, with varying parameter regimes corresponding to contact tracing efficiencies. These projections quantify the importance of the identification, isolation, and contact tracing processes for containment of the epidemics. Public Library of Science 2015-01-30 /pmc/articles/PMC4323422/ /pubmed/25685636 http://dx.doi.org/10.1371/currents.outbreaks.846b2a31ef37018b7d1126a9c8adf22a Text en http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research
Webb, Glenn
Browne, Cameron
Huo, Xi
Seydi, Ousmane
Seydi, Moussa
Magal, Pierre
A Model of the 2014 Ebola Epidemic in West Africa with Contact Tracing
title A Model of the 2014 Ebola Epidemic in West Africa with Contact Tracing
title_full A Model of the 2014 Ebola Epidemic in West Africa with Contact Tracing
title_fullStr A Model of the 2014 Ebola Epidemic in West Africa with Contact Tracing
title_full_unstemmed A Model of the 2014 Ebola Epidemic in West Africa with Contact Tracing
title_short A Model of the 2014 Ebola Epidemic in West Africa with Contact Tracing
title_sort model of the 2014 ebola epidemic in west africa with contact tracing
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4323422/
https://www.ncbi.nlm.nih.gov/pubmed/25685636
http://dx.doi.org/10.1371/currents.outbreaks.846b2a31ef37018b7d1126a9c8adf22a
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