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Child Health and Epidemiology using Bayesian Geo-Additive Latent Variable Models

MACSI at the Department of Mathematics and Statistics at the University of Limerick invites you to a seminar

Date: Friday October 25th, 2019, Room A2-002 @ 3p.m.

Speaker: Dr Khaled Khatab, Sheffield Hallam University, UK.

Title: Child Health and Epidemiology using Bayesian Geo-Additive Latent Variable Models

 Abstract: This presents both theoretical contributions and empirical applications of advanced statistical techniques including geo-additive models that link individual measures with area variables to account for spatial correlation; multilevel models that address the issue of clustering within family and household; and flexible parametric alternatives to existing intensity models.

Previous studies which have focused on childhood disease in developing counties have typically neglected aspects of the associations between diseases. The notable exception to this are studies conducted before focused more on separate geoadditive probit models for childhood diseases. However, the diseases often coexist in the same eco-epidemiological settings and may share common risk factors, and morbidity and mortality may be a result of cumulative effects of different diseases. Khatab (2007), Khatab and Fharmeir (2009), and Khatab (2010), Khatab and Kandala (2011), and al (2017) considered the different types of diseases as a health status indicator, and different types of undernutrition (stunting, wasting, and underweight) as nutritional status for the latent variable model. These analytical techniques are illustrated mainly through modelling maternal and child health in the African context, using data from demographic and health surveys.

Further Information:  If you have any questions regarding this seminar, please direct them to Romina Gaburro (061 2131930, email  or Clifford Nolan (061 202766),