jbracher

Postdoctoral researcher, Karlsruhe Institute of Technology / Heidelberg Institute for Theoretical Studies

Pinned Repositories

branching_process_delta
A simple branching process model for delta and non-delta variant cases of COVID-19 in Germany
Language:R5 1 51
cd
Some codes on the Cramer distance
Language:R0 1 00
dengue_noro_rota
Updated files to reproduce the analyses from Bracher/Held: Endemic-epidemic models with discrete-time serial interval distributions for infectious disease prediction
Language:R1 1 02
hhh4addon
Language:R6 3 44
hhh4underreporting
code on hhh4-type models with underreporting; independent of surveillance
Language:R2 3 00
inarma
Codes to reproduce the analysis from Bracher (2018): An INARMA(1, 1) model with Poisson marginals
Language:R40
mem_who
Codes accompanying the paper Bracher/Littek: "A statistical assessment of influenza intensity thresholds from the moving epidemic and WHO methods"
Language:TeX20
NOZGEKA
Materials for the NOZGEKA infectious disease modelling short course, Session "Nowcasting, short-term forecasting and R-values".
20
wis_app
Language:R1 1 01
ZurichR
Some code concerning the Zurich R User Meetup
2 2 00

jbracher's Repositories

jbracher/hhh4addon
Language:R6 3 44
jbracher/branching_process_delta
A simple branching process model for delta and non-delta variant cases of COVID-19 in Germany
Language:R5 1 51
jbracher/hhh4underreporting
code on hhh4-type models with underreporting; independent of surveillance
Language:R2 3 00
jbracher/mem_who
Codes accompanying the paper Bracher/Littek: "A statistical assessment of influenza intensity thresholds from the moving epidemic and WHO methods"
Language:TeX20
jbracher/NOZGEKA
Materials for the NOZGEKA infectious disease modelling short course, Session "Nowcasting, short-term forecasting and R-values".
20
jbracher/dengue_noro_rota
Updated files to reproduce the analyses from Bracher/Held: Endemic-epidemic models with discrete-time serial interval distributions for infectious disease prediction
Language:R1 1 02
jbracher/wis_app
Language:R1 1 01
jbracher/cd
Some codes on the Cramer distance
Language:R0 1 00
jbracher/covid-2019-measures
Language:R00
jbracher/covid19-ensembles
Language:R0 0 00
jbracher/covid19-forecast-hub
Projections of COVID-19, in standardized format
Language:JavaScript0 0
jbracher/covid19-forecast-hub-de
Language:Jupyter Notebook
jbracher/covid19-forecast-hub-europe
European Covid-19 Forecast Hub. Under development.
Language:R
jbracher/covid19-forecast-hub-europe-website
Web site for European Covid-19 Forecast Hub
Language:HTML
jbracher/covid19-forecast-hub-web
Source for the COVID 19 forecast hub website
Language:HTML
jbracher/data-science-strasbourg
Slides and materials for the Strasbourg Data Science Meetup
jbracher/epi_forecasting_DE
Forecasting infectious disease incidence in Germany
Language:R2 0
jbracher/forecast_similarity
Some thoughts about measuring the similarity of quantile forecasts
1 0
jbracher/hospitalization-nowcast-hub
Collecting nowcasts of the 7-day hospitalization incidence in Germany.
Language:R0 0
jbracher/hospitalization-nowcast-hub-website
Codes for the website of the hospitalization nowcast hub
Language:CSS0 0
jbracher/jbracher.github.io
Language:HTML1
jbracher/mem
Language:TeX
jbracher/multibin
Codes to reproduce analyses on the multi-bin logarithmic score as used in the FluSight competitions.
Language:R
jbracher/pairwise_comparisons
jbracher/ptsfc_replication
Language:R0 0
jbracher/R0-methods-comparison
A comparative analysis of statistical methods to estimate the reproduction number in emerging epidemics https://doi.org/10.1093/cid/ciaa1599
Language:R0 0
jbracher/RESPINOW-Hub
Language:R0 0
jbracher/rinarma
An R Package to fit INARMA models
Language:R2 0
jbracher/Rt_estimate_reconstruction
Fork in order to archive on Zenodo
Language:R0 0
jbracher/test_renaming
testing stuff