A Complete Time-Dependent Carrier-borne Epidemic Model

Gurprit Grover, Vajala Ravi, Vishal Deo, Chandra Bhan Yadav*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

A complete time-dependent carrier-borne epidemic model in the presence of more than one carrier is developed in this article. Also, the probability of survival of susceptibles for a random infectious time period is derived. Moreover, the maximum likelihood estimation (MLE) of relative infection rate is obtained which is found to be more efficient than the one obtained by Roy Sunders & Richard J Kryscio in 1976. The proposed complete time-dependent carrierborne epidemic model gives a better explanation than the stochastic model suggested by Wiess in 1965.

Original languageEnglish
Pages (from-to)29-35
Number of pages7
JournalJournal of Communicable Diseases
Volume53
Issue number4
DOIs
Publication statusPublished - 2021

All Science Journal Classification (ASJC) codes

  • Infectious Diseases

Fingerprint

Dive into the research topics of 'A Complete Time-Dependent Carrier-borne Epidemic Model'. Together they form a unique fingerprint.

Cite this