Epidemiological models with prevalence dependent endogenous self-protection measure

Semu Mitiku Kassa, Aziz Ouhinou

    Research output: Contribution to journalArticle

    11 Citations (Scopus)

    Abstract

    A simple mathematical model for human disease epidemics that takes the human learning behaviour and self-protective measures into account is proposed and investigated. We have analysed the effect of endogenous self-protective measures with respect to the prevalence level of the disease and conversely. In the model it is assumed that people start reacting against contracting a disease with self-protective measures whenever they are informed about the disease and when the burden of the disease is in a recognizable stage. It is shown that increasing the average effectiveness of self-protective measures is more important in decreasing the prevalence of a disease than increasing the proportion of individuals in a population into which awareness is created.

    Original languageEnglish
    Pages (from-to)41-49
    Number of pages9
    JournalMathematical Biosciences
    Volume229
    Issue number1
    DOIs
    Publication statusPublished - Jan 2011

    Fingerprint

    Epidemiological Model
    burden of disease
    disease prevalence
    human diseases
    mathematical models
    learning
    Dependent
    Proportion
    Theoretical Models
    Learning
    Mathematical Model
    Mathematical models
    Population

    All Science Journal Classification (ASJC) codes

    • Agricultural and Biological Sciences(all)
    • Biochemistry, Genetics and Molecular Biology(all)
    • Immunology and Microbiology(all)
    • Applied Mathematics
    • Modelling and Simulation
    • Statistics and Probability
    • Medicine(all)

    Cite this

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    Epidemiological models with prevalence dependent endogenous self-protection measure. / Kassa, Semu Mitiku; Ouhinou, Aziz.

    In: Mathematical Biosciences, Vol. 229, No. 1, 01.2011, p. 41-49.

    Research output: Contribution to journalArticle

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