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• W2073121844 startingPage "131" @default.
• W2073121844 abstract "Many factors, including therapy and behavioral changes, have modified the course of the HIV/AIDS epidemic in recent years. To include these modifications in HIV/AIDS models, in the absence of appropriate external data sources, changes over time in the parameters can be incorporated by a recursive estimation technique such as the Kalman filter. The Kalman filter accounts for stochastic fluctuations in both the model and the data and provides a means to assess any parameter modifications included in new observations. The Kalman filter approach was applied to a simple differential model to describe the observed HIV/AIDS epidemic in the homo/bisexual male community in Paris (France). This approach gave quantitative information on the time-evolution of some parameters of major epidemiological significance (average transmission rate, mean incubation rate, and basic reproduction rate), which appears quite consistent with the recent epidemiological literature." @default.
• W2073121844 created "2016-06-24" @default.
• W2073121844 creator A5008792660 @default.
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• W2073121844 date "1997-03-01" @default.
• W2073121844 modified "2023-10-16" @default.
• W2073121844 title "Using the Kalman filter and dynamic models to assess the changing HIV/AIDS epidemic" @default.
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• W2073121844 doi "https://doi.org/10.1016/s0025-5564(96)00155-1" @default.
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• W2073121844 hasPublicationYear "1997" @default.
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