Contribution of latent class models to the study of the spatio-temporal distribution of malaria vectors and to the temporal study of adherence to antiretroviral treatment by HIV patients
Identifieur interne : 001917 ( Main/Exploration ); précédent : 001916; suivant : 001918Contribution of latent class models to the study of the spatio-temporal distribution of malaria vectors and to the temporal study of adherence to antiretroviral treatment by HIV patients
Auteurs : Olayide Boussari [France]Source :
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Abstract
This work focuses on two health issues relating to two major pandemics in sub- Saharan Africa : i) the heterogeneity encountered in the spatial and temporal distribution of malaria vectors ; ii) the variability in adherence to antiretroviral treatment by people living with the human immunodeficiency virus. Methodologically, these two problems are related to the consideration of the heterogeneity in the modeling of data from repeated measurements. They also require the development of statistical tools to distinguish from the data, homogeneous clusters of localities, individuals. . . that are needed to make more efficient health measures often deployed by practitioners in the fight against malaria and HIV/AIDS. The finite mixture models, due to their flexibility, are statistical tools that not only provide good estimates in the presence of heterogeneity in the observations but also a good classification of statistical units. We show that they are able to deal with the problematics of our study. The spatial and temporal distributions of malaria vectors are modeled through two different applications of finite mixture models and a simple tool to evaluate the impact of vector control methods is generated. We introduce a ”variance trajectories” method in a third application of finite mixture models to data on adherence to antiretroviral therapy by people living with human immunodeficiency virus
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