Spatial prediction of malaria prevalence in Papua New Guinea: a comparison of Bayesian decision network and multivariate regression modelling approaches for improved accuracy in prevalence prediction

Overview of attention for article published in Malaria Journal, June 2021

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Spatial prediction of #malaria prevalence in #PNG: comparing modelling approaches for improved accuracy, by Eimear Cleary et al. @ANUPopHealth @pngimr @SwissTPH @MalariaJournal #endmalaria #PapuaNewGuinea https://t.co/Wj0pPnUhGE

19 Jul 2021

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RT @MalariaPapers: Spatial prediction of malaria prevalence in Papua New Guinea: a comparison of Bayesian decision network and multivariate…

14 Jun 2021

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RT @MalariaPapers: Spatial prediction of malaria prevalence in Papua New Guinea: a comparison of Bayesian decision network and multivariate…

14 Jun 2021

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Spatial prediction of malaria prevalence in Papua New Guinea: a comparison of Bayesian decision network and multivariate regression modelling approaches for improved accuracy in prevalence prediction https://t.co/asx5GxTtEE

14 Jun 2021

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