Sensitivity to the probability of transmission per sex escort ps short act is explored in the analysis.
The client population acts as a bridge between the highly sexually active and less sexually active populations, providing potential routes of transmission into the wider population; hence, in more-realistic models, the size and network structure of the client population should determine the extent to which.
Please help us improve our organization using this form.Feedback Grievance Form, sWOP-USA want to be able to address community concerns and issues.45 - 56 ) 19 Garnett GP, Mertz KJ, Finelli L, Levine WC,.I69 - 77 ) 9 Alary M, Mukenge-Tshibaka L, Beriner F, et.Results were not sensitive to the average number of sex acts per partnership Disease pathogenesis Individuals recover and are again classified with the susceptible population (i.e., no acquired immunity) at rate.Similar patterns were observed for the other 3 scenarios Figure 4 Relationship between the sizes of the sex worker and client populations and the mean endemic prevalence of gonorrhea at day 5000 in the simulation, for scenario.110 - 4 ) 6 Ghys PD, Diallo MO, Ettiegne-Traore V, et.This result was likely to be due to the structure of the model, in which the sexual activity of the client group was determined by the SWs.The sexual activity in each class was defined by the rate (c) of acquisition of sex partners per unit of time.An increasing number of epidemiological and sociological studies are now collecting detailed information on patterns of sex work in different communities, including information on SW-client contact rate, nonpaying partners, and the prevalence of STIs 8, 10,.Increasing the size of the SW population resulted in overall higher levels of sexual activity and, hence, a denser network structure, which enables infection to persist Figure 4 Relationship between the sizes of the sex worker and client populations and the mean endemic prevalence.
The size of the SW population (relative to the total population) was found to be most important in determining the overall prevalence of infection.
The probability of transmission during this contact is a, which is the probability of transmission per sex act.
The use of simulation models in exploring the influence of network structures on the epidemiology of sexually transmitted infections.Management of sexually transmitted diseases and HIV prevention in men at high risk: targeting clients and non-paying sexual partners of female sex workers in Benin, aids, 2000, vol.Effect of interventions to control sexually transmitted disease on the incidence of HIV infection in female sex workers, aids, 2001, vol.The transmission dynamics of gonorrhoea: modelling the reported behaviour of infected patients from Newark, New Jersey, Philos Trans R Soc Lond B Biol Sci, 1999, vol.50 - 8 ) 3 Tsunoe H, Tanaka M, Nakayama H, et.
If SW-client contact rates were fixed and a contact was initiated, the SW was assumed to pick randomly from a list of clients.
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