162 citations · 509 across the 9 of their papers we have counts for
9 papers
A zero-inflated endemic-epidemic model with an application to measles time series in Germany
Junyi Lu, Sebastian Meyer
Count data with excessive zeros are often encountered when modelling infectious disease occurrence. The degree of zero inflation can vary over time due to non-epidemic periods as w…
Forecasting Based on Surveillance Data
Leonhard Held, Sebastian Meyer
Forecasting the future course of epidemics has always been one of the main goals of epidemic modelling. This chapter reviews statistical methods to quantify the accuracy of epidemi…
Self-exciting Point Processes: Infections and Implementations
Sebastian Meyer
This is a comment on Reinhart's "Review of Self-Exciting Spatio-Temporal Point Processes and Their Applications" (arXiv:1708.02647v1). I contribute some experiences from modelling…
An update on statistical boosting in biomedicine
Andreas Mayr, Benjamin Hofner, Elisabeth Waldmann +3
Statistical boosting algorithms have triggered a lot of research during the last decade. They combine a powerful machine-learning approach with classical statistical modelling, off…
Model-based testing for space-time interaction using point processes: An application to psychiatric hospital admissions in an urban area
Sebastian Meyer, Ingeborg Warnke, Wulf Rössler +1
Spatio-temporal interaction is inherent to cases of infectious diseases and occurrences of earthquakes, whereas the spread of other events, such as cancer or crime, is less evident…
Incorporating social contact data in spatio-temporal models for infectious disease spread
Sebastian Meyer, Leonhard Held
Routine public health surveillance of notifiable infectious diseases gives rise to weekly counts of reported cases -- possibly stratified by region and/or age group. We investigate…