ArticleInfluenza and other respiratory viruses2018
Mapping influenza activity in emergency departments in France using Bayesian model-based geostatistics.
Article in Influenza and other respiratory viruses, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Individual and Environmental Factors Influencing Influenza Transmission: A Multilevel Analysis.Influenza and other respiratory viruses · 2026Article
- Article
- How Spatial Epidemiology Helps Understand Infectious Human Disease Transmission.Tropical medicine and infectious disease · 2022Review
- Mapping influenza activity in emergency departments in France using Bayesian model-based geostatistics.Influenza and other respiratory viruses · 2018Article
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7 authors.
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Abstract
backgroundMaps 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
objectiveOur 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.
methodsWe used Oscour
resultsOver the study period, 45 565 (0.82%) visits were coded as influenza cases. Maps resulting from the model are presented for each week, displaying the posterior mean of the influenza proportion and its associated uncertainty. Our model performed better than Kriging.
conclusionsOur model allows producing smoothed maps where the random noise has been properly removed to reveal the spatial risk surface. The algorithm was incorporated into the national surveillance system to produce maps in real time and could be applied to other diseases.
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