Forecasting Global HIV-Aids Dynamics

In the light of the considerable biomathematical effort devoted to building models of the incidence of HIV and AIDS in communities, in this paper a multiregion specification is developed that includes a parsimonious cross-infection mechanism where high-risk and low-risk populations are distinguished by their promiscuity rates. The nature of this mixing is compared with some existing modelling formats, and some preliminary simulations are presented for the timing and spread of the epidemic in a sixteen-city global system

Econometrics · Economics · Management science · Physics · Statistical physics · Computer Science · COVID-19 epidemiological studies · Mathematical and Theoretical Epidemiology and Ecology Models · Medicine · Psychology · Virology

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