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1.
J Theor Biol ; 267(1): 35-40, 2010 Nov 07.
Article in English | MEDLINE | ID: mdl-20670632

ABSTRACT

An SIS/SAS model of gonorrhea transmission in a population of highly active men-having-sex-with-men (MSM) is presented in this paper to study the impact of safe behavior on the dynamics of gonorrhea prevalence. Safe behaviors may fall into two categories-prevention and self-awareness. Prevention will be modeled via consistent condom use and self-awareness via STD testing frequency. Stability conditions for the disease free equilibrium and endemic equilibrium are determined along with a complete analysis of global dynamics. The control reproductive number is used as a means for measuring the effect of changes to model parameters on the prevalence of the disease. We also find that appropriate intervention would be in the form of a multifaceted approach at overall risk reduction rather than tackling one specific control individually.


Subject(s)
Gonorrhea/transmission , Homosexuality, Male , Models, Theoretical , Safe Sex , Gonorrhea/epidemiology , Gonorrhea/prevention & control , Humans , Male , Prevalence
2.
Math Biosci ; 225(2): 141-55, 2010 Jun.
Article in English | MEDLINE | ID: mdl-20303990

ABSTRACT

The combination therapy of antiviral peg-interferon and ribavirin has evolved as one of the better treatments for hepatitis C. In spite of its success in controlling hepatitis C infection, it has also been associated with treatment-related adverse side effects. The most common and life threatening among them is hemolytic anemia, necessitating dose reduction or therapy cessation. The presence of this side effect leads to a trade-off between continuing the treatment and exacerbating the side effects versus decreasing dosage to relieve severe side effects while allowing the disease to progress. The drug epoietin (epoetin) is often administered to stimulate the production of red blood cells (RBC) in the bone marrow, in order to allow treatment without anemia. This paper uses mathematical models to study the effect of combination therapy in light of anemia. In order to achieve this we introduce RBC concentration and amount of drug in the body as state variables in the usual immunological virus infection model. Analysis of this model provides a quantification of the amount of drug a body can tolerate without succumbing to hemolytic anemia. Indirect estimation of parameters allow us to calculate the necessary increment in RBC production to be > or =2.3 times the patient's original RBC production rate to sustain the entire course of treatment without encountering anemia in a sensitive patient.


Subject(s)
Anemia, Hemolytic/prevention & control , Erythropoietin/therapeutic use , Hepatitis C, Chronic/blood , Hepatitis C, Chronic/drug therapy , Interferons/adverse effects , Models, Biological , Ribavirin/adverse effects , Anemia, Hemolytic/chemically induced , Antiviral Agents/administration & dosage , Antiviral Agents/adverse effects , Computer Simulation , Drug Therapy, Combination , Hepacivirus , Humans , Interferons/administration & dosage , Recombinant Proteins , Ribavirin/administration & dosage
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