Prevention of Leptospirosis Infected Vector and Human Population by Multiple Control Variables

Joint Authors

Shafie, Sharidan
Gul, Taza
Khan, Ilyas
Khan, Sher Afzal
Khan, Muhammad Altaf
Islam, Saeed

Source

Abstract and Applied Analysis

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-11-25

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Mathematics

Abstract EN

Leptospirosis is an infectious disease that damages the liver and kidneys, found mainly in dogs and farm animals and caused by bacteria.

In this paper, we present the optimal control problem applied to a dynamical leptospirosis infected vector and human population by using multiple control variables.

First, we show the existence of the control problem and then use analytical and numerical techniques to investigate the existence cost effective control efforts for prevention of indirect and direct transmission of this disease.

In order to do this, we consider three control functions two for human and one for vector population.

We completely characterize the optimal control problem and compute the numerical solution of the optimality system using an iterative method.

American Psychological Association (APA)

Khan, Muhammad Altaf& Islam, Saeed& Khan, Sher Afzal& Khan, Ilyas& Shafie, Sharidan& Gul, Taza. 2014. Prevention of Leptospirosis Infected Vector and Human Population by Multiple Control Variables. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1014350

Modern Language Association (MLA)

Khan, Muhammad Altaf…[et al.]. Prevention of Leptospirosis Infected Vector and Human Population by Multiple Control Variables. Abstract and Applied Analysis No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1014350

American Medical Association (AMA)

Khan, Muhammad Altaf& Islam, Saeed& Khan, Sher Afzal& Khan, Ilyas& Shafie, Sharidan& Gul, Taza. Prevention of Leptospirosis Infected Vector and Human Population by Multiple Control Variables. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1014350

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1014350