The key challenge during food-borne disease outbreaks, e.g. the 2011 EHEC/HUS outbreak in Germany, is the design of efficient mitigation strategies based on a timely identification of the outbreak’s spatial origin. Standard public health procedures typically use case-control studies and tracings along food shipping chains. These methods are time-consuming and suffer from biased data collected slowly from interviews with patients. In this project , we applied a network-theoretical method to identify the spatial origin of food-borne disease outbreaks. The approach was based on the idea of replacing the conventional geographic distance with an effective network distance. Based on plausible assumptions on the structure of the national food distribution network, the approach was able to correctly localize the origin of the 2011 German EHEC/HUS outbreak.
- Descriptive analysis of epidemiological characteristics
- Network-based source detection using concentricity score and correlation between infection arrival times and effective distance
- Approximation of transportation routes using the gravity law of trade
Open-source software as R package NetOrigin (Origin Estimation for Propagation Processes on Complex Networks) is available on CRAN.
- J. Manitz, T. Kneib, M. Schlather, D. Helbing, and D. Brockmann (2014): Origin Detection during food-borne Disease Outbreaks - A case study 2011 EHEC/HUS Outbreak in Germany. PLOS Currents Outbreaks. Edition 1. pp. 1-31.
- J. Manitz with contributions by J. Harbering (2016). NetOrigin: An R package for network-based Origin Detection. R package version 1.0-2.
- J. Manitz, J. Harbering, M. Schmidt, T. Kneib, and A. Schöbel (2014): Network-based Source Detection: From Infectious Disease Spreading to Train Delay Propagation. Proceedings of the 29th International Workshop on Statistical Modelling. Volume 1. pp. 201-205.
- J. Manitz, and T. Kneib (2013): Model-based source estimation during foodborne disease outbreaks. Proceedings of the 28th International Workshop on Statistical Modelling. 2013. pp. 263-267.