Mapping influenza activity in emergency departments in France using Bayesian model-based geostatistics.

ABSTRACT:

Background

Maps of influenza activity are important tools to monitor influenza epidemics and inform policymakers. In France, the availability of a high-quality data set from the Oscour^® surveillance network, covering 92% of hospital emergency department (ED) visits, offers new opportunities for disease mapping. Traditional geostatistical mapping methods such as Kriging ignore underlying population sizes, are not suited to non-Gaussian data and do not account for uncertainty in parameter estimates.

Objective

Our objective was to create reliable weekly interpolated maps of influenza activity in the ED setting, to inform Santé publique France (the French national public health agency) and local healthcare authorities.

Methods

We used Oscour^® data of

SUBMITTER: Paireau J 

PROVIDER: S-EPMC6185885 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature