Joint spatial modelling of disease risk using multiple sources: an application on HIV prevalence from antenatal sentinel and demographic and health surveys in Namibia

Abstract Background In disease mapping field, researchers often encounter data from multiple sources. Such data are fraught with challenges such as lack of a representative sample, often incomplete and most of which may have measurement errors, and may be spatially and temporally misaligned. This pa...

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主要な著者: D. Ntirampeba (著者), I. Neema (著者), L. N. Kazembe (著者)
フォーマット: 図書
出版事項: BMC, 2017-08-01T00:00:00Z.
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