Document 2310 DOCN M94A2310 TI HIV/AIDS in French Guiana: modelling the epidemic. DT 9412 AU Sobesky M; Nadal JM; Pradinaud R; CISIH, CHG of Cayenne, French Guiana. SO Int Conf AIDS. 1994 Aug 7-12;10(1):333 (abstract no. PC0266). Unique Identifier : AIDSLINE ICA10/94370265 AB OBJECTIVE: To project the number of HIV infections and cumulated AIDS cases in French Guiana through the year 2004. METHODS: the epidemic has been modelized separately for 2 groups, the haitian and the non haitian group. A reference scenario has been defined on the assumption that present trends will continue unchanged; pessimistic and optimistic scenarios have been also determined. For the haitian group, a linear method based on the last known incidence rate has been used and provides the number of cumulated AIDS cases, alternative scenarios are based on the incidence rate. For the non haitian group, a dynamic population model (D. PUZIN, A.J VALLERON) has been used; it provides an estimation of the number of HIV infected persons AIDS excluded, AIDS cases and deaths; alternative scenarios have been determined based on prophylactic therapies and prevention practices. RESULTS: Under the reference scenario, in 2004, the number of cumulated AIDS cases for the whole population would amount to 1330; in case of optimistic and pessimistic scenarios, this number would amount respectively to 1230 and 1500. The number of HIV infected patients AIDS excluded has been determined for the non haitian group; this number would amount 650 in 1993 then would decrease to 500 through the year 2004. In case of a pessimistic and optimistic scenarios, the number of HIV infected patients would amount respectively to 900 and 400. DISCUSSION AND CONCLUSION: The modelization of the HIV/AIDS epidemic including alternative scenarios will greatly help health managers and medical practitioners to project the medical and social needs for HIV infected patients. The results of modelling in our country are probably underestimated because the 2 groups have been modelized separately; furthermore they are strongly dependent on immigration. Some other models including immigration data and contacts between the haitian and the non haitian group should be used to determine accurately the HIV infected population in French Guiana. DE Acquired Immunodeficiency Syndrome/ETHNOLOGY/*EPIDEMIOLOGY/ TRANSMISSION Computer Simulation *Developing Countries Disease Outbreaks/*STATISTICS & NUMER DATA Forecasting French Guiana/EPIDEMIOLOGY Haiti/ETHNOLOGY Human HIV Infections/ETHNOLOGY/*EPIDEMIOLOGY/TRANSMISSION HIV Seroprevalence/*TRENDS *Models, Statistical Population Dynamics Risk Factors MEETING ABSTRACT SOURCE: National Library of Medicine. NOTICE: This material may be protected by Copyright Law (Title 17, U.S.Code).