Eze, Jude Ikechukwu (2009) Modelling HIV/AIDS Epidemic in Nigeria. PhD thesis, University of Glasgow.
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Abstract
Nigeria is one of the countries most affected by the HIV/AIDS pandemic, third only to India and South Africa. With about 10% of the global HIV/AIDS cases estimated to be in the country, the public health and socio-economic implications are enormous. This thesis has two broad aims: the first is to develop statistical models which adequately describe the spatial distribution of the Nigerian HIV/AIDS epidemic and its associated ecological risk factors; the second, to develop models that could reconstruct the HIV incidence curve, obtain an estimate of the hidden HIV/AIDS population and a short term projection for AIDS incidence and a measure of precision of the estimates. To achieve these objectives, we first examined data from various sources and selected three sets of data based on national coverage and minimal reporting delay. The data sets are the outcome of the National HIV/AIDS Sentinel Surveillance Survey conducted in 1999, 2001, 2003 and 2005 by the Federal Ministry of Health; the outcome of the survey of 1057 health and laboratory facilities conducted by the Nigerian Institute of Medical Research in 2000; and case by case HIV screening data collected from an HIV/AIDS centre of excellence.
| Item Type: | Thesis (PhD) |
|---|---|
| Uncontrolled Keywords: | HIV Transmission in Nigeria, A description of available data on HIV/AIDS in Nigeria, UNAIDS/WHO methods, Spatial Analysis, Moran's Index and Geary's Ratio Statistics,Multi-level Models ., Monitoring Convergence, Spatial Analysis, Search for Spatial Trends, Measures of Spatial Correlation, multi-level models, Spatial Multilevel models ., Multiple Membership Multiple Classi¯cation Model, Back-projection Models, Non-parametric Back-projection ., Application to Hong Kong data, Analysis of the HIV Screening Data, |
| Subjects: | B Philosophy. Psychology. Religion > BD Speculative Philosophy H Social Sciences > HA Statistics |
| Divisions: | Africana Jesuitica |
| Depositing User: | JHI Africa |
| Date Deposited: | 14 Apr 2014 13:47 |
| Last Modified: | 14 Mar 2018 09:55 |
| URI: | http://thesisbank.jhia.ac.ke/id/eprint/68 |
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