Estimating the Parameters of a Disease Model from Clinical Data
George Theodore Azu-Tungmah, Francis T. Oduro, Gabriel A. Okyere
Journal of Advances in Mathematics and Computer Science · pp. 1–11 · Published 9 Sep 2017
10.9734/JAMCS/2017/34641Abstract
Estimation of parameters (rate constants) in infectious disease models can be done either through literature or from clinical data. This article presents parameter estimation of a disease model from clinical data using the numerical integration followed by minimization of the error function. The error function is the overall sum of squared distances between the model-fitted points and the corresponding clinical data points at certain time points. Numerical integration was done using written Mat lab code using ode15s solver because of stiff nature of the disease models. Minimization of the error function was also done through a written Mat lab code using Mat lab routine “fmincon”.
Cited by 0
No indexed citations yet.
Related research
- A Genetic Algorithm with Neighborhood Search to Solve Integer and Linear Programming Problems — shares topic coverage
- Direct Solution of Initial Value Problems of Fourth Order Ordinary Differential Equations Using Modified Implicit Hybrid Block Method — shares topic coverage
- Fully Implicit Hybrid Block –Predictor Corrector Method for the Numerical Integration of y″' = f(x, y, y', y''), y(xο)= ηο, y'(xο) = η1, y''(xο) = η3 — shares topic coverage
- A Proposed Method for Numerical Integration — shares topic coverage
- Application of Alpha Power Cubic Transmuted Dagum Distribution to Real-Life Data — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.