A stochastic model for expected time to seroconversion under correlated intercontact times using SCBZ property

AUTHOR AND
AFFILIATION

R. KANNAN, M. RABERT and R.SATHIYAMOORTHI

KEYWORDS:

Acquired Immuno Deficiency Syndrome, Antigenic Diversity Threshold, Human Immunodeficiency Virus, Intercontact times, Seroconversion.

Issue Date:

April 2013

Pages:

ISSN:

2319-8044 (Online) – 2231-346X (Print)

Source:

Vol.25 – No.1

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DOI:

jusps-A

ABSTRACT:

This paper focuses on the study of a stochastic model for predicting seroconversion time of HIV transmission under correlated intercontact times. In the estimation of expected time to seroconversion, there is an important role for the interarrival times between successive contacts and it has a significant influence. We propose a stochastic model assuming the intercontact times between successive contacts are correlated random variables and the threshold distribution is SCBZ property. The expected time to seroconversion and its variance are derived and numerical illustrations are provided.

Copy the following to cite this Article:

R. KANNAN, M. RABERT and R.SATHIYAMOORTHI, “A stochastic model for expected time to seroconversion under correlated intercontact times using SCBZ property”, Journal of Ultra Scientist of Physical Sciences, Volume 25, Issue 1, Page Number , 2016


Copy the following to cite this URL:

R. KANNAN, M. RABERT and R.SATHIYAMOORTHI, “A stochastic model for expected time to seroconversion under correlated intercontact times using SCBZ property”, Journal of Ultra Scientist of Physical Sciences, Volume 25, Issue 1, Page Number , 2016

Available from: http://www.ultrascientist.org/paper/258/


This paper focuses on the study of a stochastic model for predicting seroconversion time of HIV transmission under correlated intercontact times. In the estimation of expected time to seroconversion, there is an important role for the interarrival times between successive contacts and it has a significant influence. We propose a stochastic model assuming the intercontact times between successive contacts are correlated random variables and the threshold distribution is SCBZ property. The expected time to seroconversion and its variance are derived and numerical illustrations are provided.