1990
DOI: 10.1093/ije/19.2.417
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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 th… Show more

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Cited by 18 publications
(5 citation statements)
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“…The probability of male-to-female transmission is twice that of female-to-male transmission. For both men and women the probability of transmission depends on whether the infected individual is in the early, intermediate, or late phase (10). The early phase covers the first 40 days and the late phase the last 360 days of the incubation period.…”
Section: Description Of the Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…The probability of male-to-female transmission is twice that of female-to-male transmission. For both men and women the probability of transmission depends on whether the infected individual is in the early, intermediate, or late phase (10). The early phase covers the first 40 days and the late phase the last 360 days of the incubation period.…”
Section: Description Of the Modelmentioning
confidence: 99%
“…The main objective of this paper is to examine the relative importance of sexual behavior and biological factors on the HIV spread in sub-Saharan Africa using a new version of the simulation model SimulAIDS (8)(9)(10). The model includes a number of parameters that can be used to give a detailed description of sexual behaviour making it possible to identify the particular factors that most strongly influence the HIV epidemic.…”
Section: Introductionmentioning
confidence: 99%
“…Gupta, 1989;Garnett and Anderson, 1996). The other extreme are stochastic, comprehensive models simulating the dynamics of disease spread at the level of individuals and their interactions MICROSIMULATION MODEL 137 (Mode, 1988;Auvert, 1990;Leslie, 1990;Kretzschmar, 1993;Morris and Kretzschmar, 1995;Boily and Anderson, 1996;Ghani, 1997). The latter type of models is particularly suitable for application in specific epidemiological settings.…”
Section: Introductionmentioning
confidence: 99%
“…In that year, the prevalence of HIV infection was only 0.2% among pregnant women in Léopoldville, but it rose to 3% 10 years later [50]. Auvert et al [51] plotted the epidemic curve for Léopoldville. They back-calculate that the number of infected individuals already exceeded 10 in Léo-poldville in 1952 ‫ע‬ 5 years, placing the introduction well before the first OPV vaccination.…”
Section: Corroborative Informationmentioning
confidence: 99%