COMPANION ANIMAL DISEASE DIAGNOSTICS BASED ON LITERAL-AWARE MEDICAL KNOWLEDGE GRAPH REPRESENTATION LEARNING




Modelling spatio-temporal patterns of disease for spatially misaligned data: An application on measles incidence data in Namibia from 2005-2014.

BACKGROUND:Making inferences about measles distribution patterns at small area level is vital for more focal targeted intervention.However, in statistical literature, the analysis of originally collected data on one resolution with the purpose to make inferences on a different level of spatial resolution is referred to as the misalignment problem.I

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