Characterizing local-scale heterogeneity of malaria risk: a case study in Bunkpurugu-Yunyoo district in northern Ghana

Characterizing local-scale heterogeneity of malaria risk: a case study in Bunkpurugu-Yunyoo district in northern Ghana

Abstract Background Bayesian methods have been used to generate country-level and global maps of malaria prevalence. With increasing availability of detailed malaria surveillance data, these methodologies can also be used to identify fine-scale heterogeneity of malaria parasitaemia for operational p...

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Bibliographic Details
Main Authors: Punam Amratia, Paul Psychas, Benjamin Abuaku, Collins Ahorlu, Justin Millar, Samuel Oppong, Kwadwo Koram, Denis Valle
Format: Article
Language:English
Published: BMC 2019-03-01
Series:Malaria Journal
Subjects:
Malaria
Bayesian
Fine-scale
Geostatistical
Ghana
Online Access:http://link.springer.com/article/10.1186/s12936-019-2703-4

Internet

http://link.springer.com/article/10.1186/s12936-019-2703-4

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