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

Mathematics

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