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Mathematical models for devising the optimal Ebola virus disease eradication
BACKGROUND: The 2014–2015 epidemic of Ebola virus disease (EVD) in West Africa defines an unprecedented health threat for human. METHODS: We construct a mathematical model to devise the optimal Ebola virus disease eradication plan. We used mathematical model to investigate the numerical spread of Eb...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5452395/ https://www.ncbi.nlm.nih.gov/pubmed/28569196 http://dx.doi.org/10.1186/s12967-017-1224-6 |
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author | Jiang, Shuo Wang, Kaiqin Li, Chaoqun Hong, Guangbin Zhang, Xuan Shan, Menglin Li, Hongbin Wang, Jin |
author_facet | Jiang, Shuo Wang, Kaiqin Li, Chaoqun Hong, Guangbin Zhang, Xuan Shan, Menglin Li, Hongbin Wang, Jin |
author_sort | Jiang, Shuo |
collection | PubMed |
description | BACKGROUND: The 2014–2015 epidemic of Ebola virus disease (EVD) in West Africa defines an unprecedented health threat for human. METHODS: We construct a mathematical model to devise the optimal Ebola virus disease eradication plan. We used mathematical model to investigate the numerical spread of Ebola and eradication pathways, further fit our model against the real total cases data and calculated infection rate as 1.754. RESULTS: With incorporating hospital isolation and application of medication in our model and analyzing their effect on resisting the spread, we demonstrate the second peak of 10,029 total cases in 23 days, and expect to eradicate EVD in 285 days. Using the regional spread of EVD with our transmission model analysis, we analyzed the numbers of new infections through four important transmission paths including household, community, hospital and unsafe funeral. CONCLUSIONS: Based on the result of the model, we find out the key paths in different situations and propose our suggestion to control regional transmission. We fully considers Ebola characteristics, economic and time optimization, dynamic factors and local condition constraints, and to make our plan realistic, sensible and feasible. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12967-017-1224-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5452395 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54523952017-06-02 Mathematical models for devising the optimal Ebola virus disease eradication Jiang, Shuo Wang, Kaiqin Li, Chaoqun Hong, Guangbin Zhang, Xuan Shan, Menglin Li, Hongbin Wang, Jin J Transl Med Research BACKGROUND: The 2014–2015 epidemic of Ebola virus disease (EVD) in West Africa defines an unprecedented health threat for human. METHODS: We construct a mathematical model to devise the optimal Ebola virus disease eradication plan. We used mathematical model to investigate the numerical spread of Ebola and eradication pathways, further fit our model against the real total cases data and calculated infection rate as 1.754. RESULTS: With incorporating hospital isolation and application of medication in our model and analyzing their effect on resisting the spread, we demonstrate the second peak of 10,029 total cases in 23 days, and expect to eradicate EVD in 285 days. Using the regional spread of EVD with our transmission model analysis, we analyzed the numbers of new infections through four important transmission paths including household, community, hospital and unsafe funeral. CONCLUSIONS: Based on the result of the model, we find out the key paths in different situations and propose our suggestion to control regional transmission. We fully considers Ebola characteristics, economic and time optimization, dynamic factors and local condition constraints, and to make our plan realistic, sensible and feasible. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12967-017-1224-6) contains supplementary material, which is available to authorized users. BioMed Central 2017-06-01 /pmc/articles/PMC5452395/ /pubmed/28569196 http://dx.doi.org/10.1186/s12967-017-1224-6 Text en © The Author(s) 2017 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 Jiang, Shuo Wang, Kaiqin Li, Chaoqun Hong, Guangbin Zhang, Xuan Shan, Menglin Li, Hongbin Wang, Jin Mathematical models for devising the optimal Ebola virus disease eradication |
title | Mathematical models for devising the optimal Ebola virus disease eradication |
title_full | Mathematical models for devising the optimal Ebola virus disease eradication |
title_fullStr | Mathematical models for devising the optimal Ebola virus disease eradication |
title_full_unstemmed | Mathematical models for devising the optimal Ebola virus disease eradication |
title_short | Mathematical models for devising the optimal Ebola virus disease eradication |
title_sort | mathematical models for devising the optimal ebola virus disease eradication |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5452395/ https://www.ncbi.nlm.nih.gov/pubmed/28569196 http://dx.doi.org/10.1186/s12967-017-1224-6 |
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