title: Dynamics of HIV infection and AIDS in central African cities.
abstract: A detailed stochastic model of HIV infection and AIDS for large cities in central Africa is described, which reproduces past events in Kinshasa, Zaire and projects rapid future spread of the disease, consistent with recent findings for Nairobi, Kenya. Most of the parameters used describe the behaviour of individuals, and it is therefore possible to look at the effects of changes in such behaviour, and thus to test various strategies aimed at providing effective public health policies. The model demonstrates that, if the spread of infection is to be controlled, changes in the behaviour of the major risk groups are essential. With appropriate modifications, this model could be adapted for use elsewhere in Africa.
authors.affiliation: INSERM U88, 91 Boulevard de l'Hôpital, Paris, France.
authors.forename: B
authors.initials: B
authors.lastname: Auvert
authors.forename: M
authors.initials: M
authors.lastname: Moore
authors.forename: W E
authors.initials: WE
authors.lastname: Bertrand
authors.forename: A
authors.initials: A
authors.lastname: Beauchet
authors.forename: P
authors.initials: P
authors.lastname: Aegerter
authors.forename: D
authors.initials: D
authors.lastname: Lusamba
authors.forename: K T
authors.initials: KT
authors.lastname: Diong
authors.forename: J
authors.initials: J
authors.lastname: Klinowski
mesh_terms: D000163:Acquired Immunodeficiency Syndrome / Q000453:epidemiology* / Q000517:prevention & control; D000350:Africa, Central / Q000453:epidemiology; D005260:Female; D015658:HIV Infections / Q000453:epidemiology* / Q000517:prevention & control; D015438:Health Behavior; D006291:Health Policy; D006801:Humans; D007630:Kenya / Q000453:epidemiology; D008297:Male; D008962:Models, Theoretical; D014505:Urban Population