Bayesian hierarchical spatial and spatio-temporal modeling and mapping of tuberculosis in Kenya.
Global spread of infectious disease threatens the well-being of human, domestic, and wildlife health. A proper understanding of global distribution of these diseases is an important part of disease management and policy making. However, data are subject to complexities by heterogeneity across host c...
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| Language: | en |
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2013
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| Online Access: | http://hdl.handle.net/10413/10279 |