Bayesian geostatistical modelling of stunting in Rwanda: risk factors and spatially explicit residual stunting burden

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Watershed Planning within a Quantitative Scenario Analysis Framework
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Vestine Uwiringiyimana1,2, Frank Osei1, Sherif Amer3

  • 1Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands.

BMC Public Health
|January 25, 2022
PubMed
Abstract

Keywords:
Bayesian modellingRwandaSpatial patternSpatial residualsStunting

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