globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2012.04.001
Scopus记录号: 2-s2.0-84883132668
论文题名:
Bayesian analysis of zero inflated spatiotemporal HIV/TB child mortality data through the INLA and SPDE approaches: Applied to data observed between 1992 and 2010 in rural North East South Africa
作者: Musenge E; , Chirwa T; F; , Kahn K; , Vounatsou P
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 22, 期:1
起始页码: 86
结束页码: 98
语种: 英语
英文关键词: Agincourt South Africa ; Big "N" ; GMRF ; HIV/TB mortality ; INLA SPDE ; Spatiotemporal ; Zero inflated
Scopus关键词: Bayesian analysis ; child health ; Gaussian method ; human immunodeficiency virus ; Markov chain ; Monte Carlo analysis ; mortality ; pregnancy ; public health ; rural area ; spatiotemporal analysis ; tuberculosis ; South Africa
英文摘要: Longitudinal mortality data with few deaths usually have problems of zero-inflation. This paper presents and applies two Bayesian models which cater for zero-inflation, spatial and temporal random effects. To reduce the computational burden experienced when a large number of geo-locations are treated as a Gaussian field (GF) we transformed the field to a Gaussian Markov Random Fields (GMRF) by triangulation. We then modelled the spatial random effects using the Stochastic Partial Differential Equations (SPDEs). Inference was done using a computationally efficient alternative to Markov chain Monte Carlo (MCMC) called Integrated Nested Laplace Approximation (INLA) suited for GMRF. The models were applied to data from 71,057 children aged 0 to under 10 years from rural north-east South Africa living in 15,703 households over the years 1992-2010. We found protective effects on HIV/TB mortality due to greater birth weight, older age and more antenatal clinic visits during pregnancy (adjusted RR (95% CI)): 0.73(0.53;0.99), 0.18(0.14;0.22) and 0.96(0.94;0.97) respectively. Therefore childhood HIV/TB mortality could be reduced if mothers are better catered for during pregnancy as this can reduce motherto- child transmissions and contribute to improved birth weights. The INLA and SPDE approaches are computationally good alternatives in modelling large multilevel spatiotemporal GMRF data structures. © 2012 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79848
Appears in Collections:气候变化事实与影响

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作者单位: MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Biostatistics and Epidemiology Division, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Swiss Tropical and Public Health Institute, Basel, Switzerland; Centre for Global Health Research, Umeå University, Umeå, Sweden; INDEPTH Network, Accra, Ghana

Recommended Citation:
Musenge E,, Chirwa T,F,et al. Bayesian analysis of zero inflated spatiotemporal HIV/TB child mortality data through the INLA and SPDE approaches: Applied to data observed between 1992 and 2010 in rural North East South Africa[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,22(1)
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