A Bayesian approach for estimating underreported dengue incidence with a focus on non-linear associations between climate and dengue in Dhaka, Bangladesh
Sharmin, Sifat; Glass, Kathryn; Viennet, Elvina; Harley, David
Determining the relation between climate and dengue incidence is challenging due to under-reporting of disease and consequent biased incidence estimates. Non-linear associations between climate and incidence compound this. Here, we introduce a modelling framework to estimate dengue incidence from passive surveillance data while incorporating non-linear climate effects. We estimated the true number of cases per month using a Bayesian generalised linear model, developed in stages to adjust for...[Show more]
|Collections||ANU Research Publications|
|Source:||Statistical Methods in Medical Research|
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