Oumy Niass, A. Diongue, Philippe Saint-Pierre, A. Touré
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Using Markov assumption with covariates to assess the Plasmodium falciparum malaria serological markers evolution
In this study, we develop Three Markov models which are continuous time-homogeneous Model, time piecewise constant intensities Markov model and semi-Markov model with
Weibull distribution as the waiting time distribution to evaluate malaria serology evolution. We consider two-state model describing antibody reactivity defined by immunologists.
We discuss in detail the application of these models to identify relationships between malaria control program and serological measurements of malaria transmission
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