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Re-naming KITmetricslab-bivariate_branching, shortening model description. #1031
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10 changes: 4 additions & 6 deletions
10
...ata-KITmetricslab-bivariate_branching.txt → ...etadata-KITmetricslab-bivar_branching.txt
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,21 +1,19 @@ | ||
team_name: KITmetricslab | ||
model_name: bivariate_branching | ||
model_abbr: KITmetricslab-bivariate_branching | ||
model_name: bivar_branching | ||
model_abbr: KITmetricslab-bivar_branching | ||
model_contributors: Johannes Bracher (Karlsruhe Institute of Technology) <[email protected]> | ||
website_url: https://github.com/jbracher/branching_process_delta | ||
license: cc-by-4.0 | ||
team_model_designation: primary | ||
methods: Delta-variant and other cases are modelled as independent branching processes, with weekly growth\ | ||
\ rates following random walks. Vaccination progress is currently not included.\ | ||
\ Forecasts up to 4 wk are generated due to ensemble inclusion requirements, but 3 and 4 wk should be\ | ||
\ interpreted with great caution. | ||
\ rates following random walks. Forecasts for 3 and 4 wk are likely unreliable. | ||
team_funding: Helmholtz Innovation and Data Science Project "SIMCARD" | ||
data_inputs: JHU (confirmed cases), RKI sequencing data (variants) | ||
methods_long: "The total weekly incidence is modelled as the sum of two independent overdispersed branching\ | ||
\ processes (delta / non-delta cases; may be updated to other pairs of variants later), with the weekly | ||
\ growth rates following multiplicative random walks. Sequencing data are included via an additional binomial\ | ||
\ observation process with the probabilities for the two variants proportional to their occurrence in the two | ||
\ latent branching processes. Posterior samples are enerated using the JAGS software. Priors were chosen as\ | ||
\ latent branching processes. Posterior samples are generated using the JAGS software. Priors were chosen as\ | ||
\ 'uninformative' uniform distributions, but may be specified in a more informative fashion in the future.\ | ||
\ In order to be included in the ensemble forecasts are generated up to 4 wk into the future, but given the\ | ||
\ simple model structure, three and four-week-ahead forecasts should be interpreted with caution." |
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You can actually keep this line as it was if you wish. The most important is to edit the line below:
model_abbr
. It is the one with the character limit