jbracher Goto Github PK
Name: Johannes Bracher
Type: User
Bio: Postdoctoral researcher, Karlsruhe Institute of Technology / Heidelberg Institute for Theoretical Studies
Johannes Bracher's Projects
branching_process_delta
A simple branching process model for delta and non-delta variant cases of COVID-19 in Germany
cd
Some codes on the Cramer distance
cdcforecastutils
utilities for forecasting for cdc competitions
covid-2019-measures
covid19-ensembles
covid19-forecast-hub
Projections of COVID-19, in standardized format
covid19-forecast-hub-de
covid19-forecast-hub-europe
European Covid-19 Forecast Hub. Under development.
covid19-forecast-hub-europe-website
Web site for European Covid-19 Forecast Hub
covid19-forecast-hub-web
Source for the COVID 19 forecast hub website
data-science-strasbourg
Slides and materials for the Strasbourg Data Science Meetup
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
epi_forecasting_de
Forecasting infectious disease incidence in Germany
forecast_similarity
Some thoughts about measuring the similarity of quantile forecasts
hhh4addon
hhh4underreporting
code on hhh4-type models with underreporting; independent of surveillance
hospitalization-nowcast-hub
Collecting nowcasts of the 7-day hospitalization incidence in Germany.
hospitalization-nowcast-hub-website
Codes for the website of the hospitalization nowcast hub
inarma
Codes to reproduce the analysis from Bracher (2018): An INARMA(1, 1) model with Poisson marginals
intro_to_shiny
Introduction to R Shiny for students from Kantonale Maturitätsschule für Erwachsene Zürich, 12 Nov 2018
jbracher.github.io
mem
mem_who
Codes accompanying the paper Bracher/Littek: "A statistical assessment of influenza intensity thresholds from the moving epidemic and WHO methods"
multibin
Codes to reproduce analyses on the multi-bin logarithmic score as used in the FluSight competitions.
ncov-cfr
R code and documentation to estimate case fatality ratio of 2019-nCoV from cases outside China
nozgeka
Materials for the NOZGEKA infectious disease modelling short course, Session "Nowcasting, short-term forecasting and R-values".
pairwise_comparisons
ptsfc_replication
r0-methods-comparison
A comparative analysis of statistical methods to estimate the reproduction number in emerging epidemics https://doi.org/10.1093/cid/ciaa1599
respinow-hub
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