A Universal Model for Predicting Dynamics of the Epidemics Caused by Special Pathogens
Joint Authors
Bachinsky, Alexander G.
Nizolenko, Lily Ph.
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-24
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Bachinsky, Alexander G.& Nizolenko, Lily Ph.. 2013. A Universal Model for Predicting Dynamics of the Epidemics Caused by Special Pathogens. BioMed Research International،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1004365
Modern Language Association (MLA)
Bachinsky, Alexander G.& Nizolenko, Lily Ph.. A Universal Model for Predicting Dynamics of the Epidemics Caused by Special Pathogens. BioMed Research International No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1004365
American Medical Association (AMA)
Bachinsky, Alexander G.& Nizolenko, Lily Ph.. A Universal Model for Predicting Dynamics of the Epidemics Caused by Special Pathogens. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1004365
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1004365