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Titel: Bayesian modelling of the effect of climate on malaria in Burundi
Untertitel:
Kurzfassung: In Burundi, malaria is a major public health issue in terms of both morbidity and mortality with around 2.5 million clinical cases and more than 15,000 deaths each year. It is the single main cause of mortality in pregnant women and children below five years of age. Due to the severe health and economic cost of malaria, there is still a growing need for methods that will help to understand the influencing factors. Several studies have been done on the subject yielding different results as which factors are most responsible for the increase in malaria. The purpose of this study has been to undertake a spatial/longitudinal statistical analysis to identify important climatic variables that influence malaria incidences in Burundi. This paper investigates the effects of climate on malaria in Burundi. For the period 1996-2007, real monthly data on both malaria epidemiology and climate in the area of Burundi are described and analysed. From this analysis, a mathematical model is derived and proposed to assess which variables significantly influence malaria incidences in Burundi. The proposed modelling is based on both generalized linear models (GLM) and generalized additive mixed models (GAMM). The modelling is fully Bayesian and inference is carried out by Markov Chain Monte Carlo (MCMC) techniques.
Schlagworte:
Publikationstyp: Beitrag in Zeitschrift (Autorenschaft)
Erscheinungsdatum: 06.06.2010 (Print)
Erschienen in: Malaria Journal
Malaria Journal
zur Publikation
 ( Springer Verlag GmbH; )
Titel der Serie: -
Bandnummer: -
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Erstveröffentlichung: Ja
Seite: S. 9 - 114

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Erscheinungsdatum: 06.06.2010
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Homepage: http://www.malariajournal.com/content/9/1/114

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