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Stochastic Models for the Infectivity Function in an Infinite Population of Susceptible Individuals
Joint Authors
Blanco, Liliana
Arunachalam, Viswanathan
Source
Journal of Probability and Statistics
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-11
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Two stochastic models to study the course of the transient behaviour of the total infectivity present in an infinite population of susceptible individuals are developed.
The conditional intensity function of the contagion comprises two components: one is due to the external sources only and the other is the contribution of each of the infected persons which is nonstationary in nature.
The statistical characteristics of the number of infected individuals at any time are explicitly obtained.
Estimation of the model parameters is also indicated.
American Psychological Association (APA)
Arunachalam, Viswanathan& Blanco, Liliana. 2017. Stochastic Models for the Infectivity Function in an Infinite Population of Susceptible Individuals. Journal of Probability and Statistics،Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1186300
Modern Language Association (MLA)
Arunachalam, Viswanathan& Blanco, Liliana. Stochastic Models for the Infectivity Function in an Infinite Population of Susceptible Individuals. Journal of Probability and Statistics No. 2017 (2017), pp.1-6.
https://search.emarefa.net/detail/BIM-1186300
American Medical Association (AMA)
Arunachalam, Viswanathan& Blanco, Liliana. Stochastic Models for the Infectivity Function in an Infinite Population of Susceptible Individuals. Journal of Probability and Statistics. 2017. Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1186300
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186300