Epidemiological models with prevalence dependent endogenous self-protection measure.
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.
Department of Mathematics, Addis Ababa University, P.O. Box 1176, Addis Ababa, Ethiopia. smtk@math.aau.edu.et
Semu Mitiku
SM
Kassa
Aziz
A
Ouhinou
D000465:Algorithms; D001902:Botswana / Q000453:epidemiology; D003141:Communicable Diseases / Q000453:epidemiology*; D003198:Computer Simulation; D018562:Disease Transmission, Infectious / Q000517:prevention & control; D015658:HIV Infections / Q000453:epidemiology / Q000517:prevention & control; D015438:Health Behavior; D006266:Health Education; D006801:Humans; D008954:Models, Biological; D015995:Prevalence; D040242:Risk Reduction Behavior; D012725:Sexual Behavior