Scarpone C., Brinkmann S. T., Große T., Sonnenwald D., Fuchs M., Walker BB. (2020): A multimethod approach for county-scale geospatial analysis of emerging infectious diseases: a cross-sectional case study of COVID-19 incidence in Germany. Int J Health Geogr 19, 32. https://doi.org/10.1186/s12942-020-00225-1.
Here we provide a brief overview of our procedure with the key methods used in our analysis: Note, that we do not provide the processing of the OSM data.
The age groups from the official census data (INKAR) were different from those of the RKI. Therefore, a probabilistic age estimation has been applied.
A empirical distribution function has been applied to estimate the probability of the RKI age groups:
The comparison for whole Germany between the original and the estimated distributions is shown here:
Here we provide a brief overview of our key analysis method used in our analysis. Due to random seeds, results may vary to a limited degree. Users can set serialize=TRUE in the bartMachine() function to save a specific model for a new session.
A full explanation is provided within the script.
Blake Byron Walker, Sebastian Brinkmann, Tim Große
Institute of Geography
Friedrich-Alexander-Universitaet Erlangen-Nuernberg
Erlangen, Germany
e-mail: bastibrinkmann94@gmail.com