The influence of different sexual-contact patterns between age classes on the predicted demographic impact of AIDS in developing countries.
A model is developed to describe the spread of HIV within heterosexual communities and the demographic impact of AIDS. The model combines epidemiologic and demographic processes and is designed to mirror the impact of AIDS in sub-Saharan Africa. Refinements on past work in this area include unequal probabilities for transmission from females to males and from males to females, the inclusion of an age- and sex-dependent sexual-partner choice function and distributed incubation plus infectious periods. Numerical studies suggest that unequal transmission probabilities (weighted to a greater probability from males to females than vice versa), and the tendency of males to choose sexual partners of the opposite sex younger than themselves, both act to increase the demographic impact of AIDS over that predicted with equal transmission between the sexes and partner choice restricted within given age classes. Analyses support the conclusions of past work that the epidemic will only have a small detrimental impact on the dependency ratio of a population (the ratio of dependents to working adults) even when a weighting is added to take account of the extra burden imposed by the care of adult AIDS patients. However, a small increase in the ratio can imply a significant rise in the number of dependents within the population. Stimulation studies of the impact of changes in behavior to reduce transmission highlight to the need to induce such changes as early as possible in the course of the epidemic in order to minimize its impact. Directions for future research are discussed emphasizing the need to acquire quantitative data on sexual habits and to construct models to represent heterogeneity in sexual behavior.
Anderson
R M
RM
Parasite Epidemiology Research Group, Imperial College, London University, England.
Ng
T W
TW
Boily
M C
MC
May
R M
RM
D000163:Acquired Immunodeficiency Syndrome / Q000453:epidemiology* / Q000517:prevention & control / Q000635:transmission; D000367:Age Factors; D003906:Developing Countries; D005260:Female; D006801:Humans; D008297:Male; D008433:Mathematics; D015233:Models, Statistical; D011157:Population Dynamics; D012737:Sex Factors; D012747:Sexual Partners