A WITHIN HOST MODEL of BLOOD STAGE MALARIA with TREATMENT

Theresia Marijani, Edward Lungu

Research output: Contribution to journalArticle

Abstract

We consider a mathematical model for malaria involving, susceptible red blood cells (RBCs), latent infected red blood cells (RBCs), active IRBCs, intracellular parasites, extracellular parasites and effector cells. We extend the model to include effect of treatment on the prognosis of malaria. One of the questions addressed in our study is: what range of the parameter, n1, which denotes the number of intracellular parasites released from a naturally dying activated infected red blood cell can lead to malaria pathogenesis? Sensitivity analysis revealed that poor parametric estimation can lead to wrong disease prognosis, and consequently to over or under-prescription of treatment drugs. In malaria endemic areas where the parasite is developing resistance to the drugs, this can limit options of treatment drugs. We recommend that the administration of malaria treatment drugs should be done under supervision as is the case for TB to ensure complete adherence to treatment and reduce the emergence of malaria drug resistant strains. Secondly, we recommend that individuals with malaria or showing symptoms of the disease should be tested for other chronic infections which could complicate the treatment of malaria.

Original languageEnglish
Pages (from-to)1-27
Number of pages27
JournalJournal of Biological Systems
Volume25
Issue number1
DOIs
Publication statusPublished - Mar 1 2017

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Malaria
malaria
Drug therapy
Blood
Cells
Drugs
drug
Red Blood Cells
parasite
Parasites
drug therapy
parasites
erythrocytes
Erythrocytes
blood
Prognosis
Sensitivity analysis
prognosis
Pharmaceutical Preparations
Mathematical models

All Science Journal Classification (ASJC) codes

  • Ecology
  • Agricultural and Biological Sciences (miscellaneous)
  • Applied Mathematics

Cite this

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A WITHIN HOST MODEL of BLOOD STAGE MALARIA with TREATMENT. / Marijani, Theresia; Lungu, Edward.

In: Journal of Biological Systems, Vol. 25, No. 1, 01.03.2017, p. 1-27.

Research output: Contribution to journalArticle

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