Bayesian spatio-temporal modeling of Schistosoma japonicum prevalence data in the absence of a diagnostic 'gold' standard.
BACKGROUND: Spatial modeling is increasingly utilized to elucidate relationships between demographic, environmental, and socioeconomic factors, and infectious disease prevalence data. However, there is a paucity of studies focusing on spatio-temporal modeling that take into account the uncertainty o...
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Main Authors: | , , , , , , , |
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Format: | Book |
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Public Library of Science (PLoS),
2008-01-01T00:00:00Z.
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A1234.567 |
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