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A Universal Model for Predicting Dynamics of the Epidemics Caused by Special Pathogens
A universal model intended primarily for predicting dynamics of the mass epidemics (outbreaks) caused by special pathogens is being developed at the State Research Center of Virology and Biotechnology Vector. The model includes the range of major countermeasures: preventive and emergency mass vaccin...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3741903/ https://www.ncbi.nlm.nih.gov/pubmed/23998125 http://dx.doi.org/10.1155/2013/467078 |
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author | Bachinsky, Alexander G. Nizolenko, Lily Ph. |
author_facet | Bachinsky, Alexander G. Nizolenko, Lily Ph. |
author_sort | Bachinsky, Alexander G. |
collection | PubMed |
description | A universal model intended primarily for predicting dynamics of the mass epidemics (outbreaks) caused by special pathogens is being developed at the State Research Center of Virology and Biotechnology Vector. The model includes the range of major countermeasures: preventive and emergency mass vaccination, vaccination of risk groups as well as search for and isolation/observation of infected cases, contacts, and suspects, and quarantine. The intensity of interventions depends on the availability of the relevant resources. The effect of resource limitations on the development of a putative epidemic of Ebola hemorrhagic fever is demonstrated. The modeling results allow for estimation of the material and human resources necessary for eradication of an epidemic. |
format | Online Article Text |
id | pubmed-3741903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-37419032013-09-01 A Universal Model for Predicting Dynamics of the Epidemics Caused by Special Pathogens Bachinsky, Alexander G. Nizolenko, Lily Ph. Biomed Res Int Research Article A universal model intended primarily for predicting dynamics of the mass epidemics (outbreaks) caused by special pathogens is being developed at the State Research Center of Virology and Biotechnology Vector. The model includes the range of major countermeasures: preventive and emergency mass vaccination, vaccination of risk groups as well as search for and isolation/observation of infected cases, contacts, and suspects, and quarantine. The intensity of interventions depends on the availability of the relevant resources. The effect of resource limitations on the development of a putative epidemic of Ebola hemorrhagic fever is demonstrated. The modeling results allow for estimation of the material and human resources necessary for eradication of an epidemic. Hindawi Publishing Corporation 2013 2013-07-24 /pmc/articles/PMC3741903/ /pubmed/23998125 http://dx.doi.org/10.1155/2013/467078 Text en Copyright © 2013 A. G. Bachinsky and L. Ph. Nizolenko. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Bachinsky, Alexander G. Nizolenko, Lily Ph. A Universal Model for Predicting Dynamics of the Epidemics Caused by Special Pathogens |
title | A Universal Model for Predicting Dynamics of the Epidemics Caused by Special Pathogens |
title_full | A Universal Model for Predicting Dynamics of the Epidemics Caused by Special Pathogens |
title_fullStr | A Universal Model for Predicting Dynamics of the Epidemics Caused by Special Pathogens |
title_full_unstemmed | A Universal Model for Predicting Dynamics of the Epidemics Caused by Special Pathogens |
title_short | A Universal Model for Predicting Dynamics of the Epidemics Caused by Special Pathogens |
title_sort | universal model for predicting dynamics of the epidemics caused by special pathogens |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3741903/ https://www.ncbi.nlm.nih.gov/pubmed/23998125 http://dx.doi.org/10.1155/2013/467078 |
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