Hepatitis-B virus infection is globally ubiquitous, but its distribution is
very heterogeneous, with prevalence of serological markers in various nati
ons ranging from less than 1% to more than 90%. We propose an explanation f
or this diversity using a mathematical model of hepatitis-B virus transmiss
ion dynamics that shows, for the first time,'catastrophic' behavior using r
ealistic epidemiological processes and parameters. Our major conclusion is
that the prevalence of infection is largely determined by a feedback mechan
ism that relates the rate of transmission, average age at infection and age
-related probability of developing carriage following infection. Using the
model we identify possible, highly non-linear, consequences of chemotherapy
and immunization interventions, for which the starting prevalence of carri
ers is the most influential, predictive quantity. Taken together, our resul
ts demand a re-evaluation of public health policy towards hepatitis-B.