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 language | English |
|---|---|
| Pages (from-to) | 29-35 |
| Number of pages | 7 |
| Journal | Journal of Communicable Diseases |
| Volume | 53 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Infectious Diseases
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