A combination of differential equations and convolution in understanding the spread of an epidemic | Zendy

Arm S. R. Srinivasa Rao | Zendy; Masayuki Kakehashi | Zendy

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A combination of differential equations and convolution in understanding the spread of an epidemic

Author(s) -

Arm S. R. Srinivasa Rao,

Masayuki Kakehashi

Publication year - 2004

Publication title -

sadhana

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.268

H-Index - 49

eISSN - 0973-7677

pISSN - 0256-2499

DOI - 10.1007/bf02703780

Subject(s) - convolution (computer science) , epidemic model , mathematics , nonlinear system , computer science , transmission (telecommunications) , statistics , differential equation , mathematical analysis , artificial intelligence , population , physics , demography , quantum mechanics , sociology , artificial neural network , telecommunications

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. Anad hoc procedure with a technical note is provided in the appendix

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