Optimal Control Model of Malaria Disease with Standard Incidence Rate
Sacrifice Nana-Kyere, Richmond Hede Doe, Francis Agyei Boateng, James Kwabena Odum, Seth Marmah, Desmond Titus Banon
Journal of Advances in Mathematics and Computer Science · pp. 1–21 · Published 3 Aug 2017
10.9734/JAMCS/2017/35011Abstract
In this research article, an optimal control model of malaria disease with standard incidence rate is proposed. Maximum Principle was employed to derive the necessary conditions for the existence of optimal control. Numerical solution of the optimality was derived and computed to investigate the optimum control strategy that would be efficacious to be implemented in reducing the number of exposed and infected humans.
Cited by 5
Gbenga Adegbite, Sunday Edeki, Itunuoluwa Isewon · Infectious Disease Modelling · 2023
Sacrifice Nana-Kyere, Baba Seidu, Kwara Nantomah · Journal of Applied Mathematics · 2024
Perpetual Appiah, Henry Amankwah, Francis Benyah · Journal of Mathematics and Statistics · 2024
Songbai Guo, Jin Lu, Min He · Physica Scripta · 2025
Onoja Abu, Ikechukwu Ignatius Ayogu · Springer Proceedings in Mathematics & Statistics · 2021
Related research
- Optimal Control of an Epidemic Model of Leptospirosis with Nonlinear Saturated Incidences — shares topic coverage
- Effect of Control on the Mathematical Model of Hepatitis B Virus with Infective Migrant — shares topic coverage
- Healthcare-Strain-Aware Epidemic Control Using State-Constrained Optimization — shares topic coverage
- Evolution of Lovelock Tensor as a Generalized Einstein Tensor and Lovelock Gravity under Ricci Flow — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
5
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.