Dutch flu trend

Schneider PP^1,2, van Gool CJAW³, Spreeuwenberg P⁴, Hooiveld M⁴, Donker GA⁴, Barnett DJ¹, Paget J⁴.

¹ Faculty of Health, Medicine and Life Sciences, Maastricht University; ² School of Health and Related Research, University of Sheffield; ³ Nivel (Netherlands Institute of Health Service Research); ⁴ School CAPHRI, Maastricht University

In the first stage of the project, I investigated whether Wikipedia page views were correlated with the incidence of influenza in several countries around the world.

• Code and data repository[Deprecated!]

Subsequently, I included Google search queries and used several statical learning techniques to estimate the incidence of influenza in Germany in near real time.

• Conference poster for WEON 2018
• A tutorial on digital epidemiology in R
• Data & code repository

Finally, we piloted the method during the 2017-2018 influenza-like illness epidemic in the Netherlands.

• Preprint: Schneider PP, van Gool CJAW, Spreeuwenberg P, Hooiveld M, Donker GA, Barnett DJ, Paget J. Preprint: Using digital epidemiology methods to monitor influenza-like illness in the Netherlands in real-time: the 2017-2018 season. bioRxiv. 2018. https://doi.org/10.1101/440867

• Publication: tbc