Rao, Arni SR Srinivasa and Kakehashi, Masayuki (2004) A combination of differential equations and convolution in understanding the spread of an epidemic. In: Sadhana, 29 (3). pp. 305-313.
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Abstract
Nonlinear dynamical method of projecting the transmission of an epidemic is accurate if the input parameters and initial value variables are reliable. Here, such a model is proposed for predicting an epidemic.A method to supplement two variables and two parameters for this proposed model is demonstrated through a robust statistical approach. The method described here worked well in case of three continuous distributions. Model predictions could be lower estimates due to under-reporting of disease cases. An ad hoc procedure with a technical note is provided in the appendix.
Item Type: | Journal Article |
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Publication: | Sadhana |
Publisher: | Indian Academy of Sciences |
Additional Information: | Copyright for this article belongs to Indain Academy of Sciences. |
Keywords: | Dynamical model;likelihood;convolution;HIV |
Department/Centre: | Division of Biological Sciences > Centre for Ecological Sciences |
Date Deposited: | 11 Jan 2005 |
Last Modified: | 19 Sep 2010 04:17 |
URI: | http://eprints.iisc.ac.in/id/eprint/2629 |
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