A Complete Time-Dependent Carrier-borne Epidemic Model
Author(s) -
Chandra Bhan Yadav
Publication year - 2021
Publication title -
journal of communicable diseases
Language(s) - English
Resource type - Journals
eISSN - 2581-351X
pISSN - 0019-5138
DOI - 10.24321/0019.5138.202171
Subject(s) - epidemic model , maximum likelihood , statistics , mathematics , statistical physics , econometrics , physics , demography , sociology , population
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 carrier-borne epidemic model gives a better explanation than the stochastic model suggested by Wiess in 1965.
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