Detecting local risk factors for residual malaria in northern Ghana using Bayesian model averaging

Detecting local risk factors for residual malaria in northern Ghana using Bayesian model averaging

Abstract Background There is a need for comprehensive evaluations of the underlying local factors that contribute to residual malaria in sub-Saharan Africa. However, it is difficult to compare the wide array of demographic, socio-economic, and environmental variables associated with malaria transmis...

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Bibliografische gegevens
Hoofdauteurs: Justin Millar, Paul Psychas, Benjamin Abuaku, Collins Ahorlu, Punam Amratia, Kwadwo Koram, Samuel Oppong, Denis Valle
Formaat: Artikel
Taal:English
Gepubliceerd in: BMC 2018-09-01
Reeks:Malaria Journal
Onderwerpen:
Risk factors
Bayesian model averaging
Nonlinear patterns
Statistical methods
Online toegang:http://link.springer.com/article/10.1186/s12936-018-2491-2

Internet

http://link.springer.com/article/10.1186/s12936-018-2491-2

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