Geoadditive latent variable modelling of count data on multiple sexual partnering in Nigeria

Adebayo, Samson B.; Fahrmeir, Ludwig and Seiler, Christian (2009): Geoadditive latent variable modelling of count data on multiple sexual partnering in Nigeria. Forthcoming in: Biometrics

Abstract

The 2005 National HIV/AIDS and Reproductive Health Survey in Nigeria provides evidence that multiple sexual partnering increases the risk of contracting HIV and other sexually transmitted diseases. Therefore, partner reduction is one of the prevention strategies to accomplish the Millenium development goal of halting and reversing the spread of HIV/AIDS. In order to explore possible association between sexual partnering and some risk factors, this paper utilizes a novel Bayesian geoadditive latent variable model for count outcomes. This allows us to simultaneously analyze linear and nonlinear effects of covariates as well as spatial variations of one or more latent variables, such as attitude towards multiple partnering, which in turn directly influences the multivariate observable outcomes or indicators. Influence of demographic factors such as age, gender, locality, state of residence, educational attainment, etc., and knowledge about HIV/AIDS on attitude towards multiple partnering is also investigated. Results can provide insights to policy makers with the aim of reducing the spread of HIV and AIDS among the Nigerian populace through partner reduction.

• Item Type: MPRA Paper
• Language: English
• Keywords: factor loading; geographical variations; latent variable model; MCMC; Nigeria; semiparametric Poisson model
• Subjects: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C14 - Semiparametric and Nonparametric Methods; I - Health, Education, and Welfare > I1 - Health

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