Data · dataset · 2022
seabbs/ecdc-weekly-growth-forecasts
Listed in LSHTM Data Compass
A Bayesian autoregressive model using weekly incidence data designed to run as a Github action.
Description
Both cases and the growth rate are assumed to be AR(1) processes with the growth rate being differenced and scaled by a decay parameter. The model is implemented using the forecast.vocs R package.
Links
Where it is published
- DOI doi.org/10.5281/zenodo.7189620 ↗
DOI / persistent id · from lshtm ac uk
Catalogue records · 1
- OAI-PMH record datacompass.lshtm.ac.uk/cgi/oai2?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3… ↗
metadata API · from lshtm ac uk
Topics
- From keywords
- Earth & Environmental Science · Humanities · Life Sciences · Medicine & Health · Social Science
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| LSHTM Data Compass | oai:datacompass.lshtm.ac.uk:3127 | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].local:field:earth-environmental | mapping · lshtm ac uk | connector:lshtm_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · lshtm ac uk | connector:lshtm_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · lshtm ac uk | connector:lshtm_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · lshtm ac uk | connector:lshtm_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · lshtm ac uk | connector:lshtm_ac_uk@1.0.0 | |
| description | source · lshtm ac uk | connector:lshtm_ac_uk@1.0.0 | /metadata/dc/description |
| publication_date | source · lshtm ac uk | connector:lshtm_ac_uk@1.0.0 | |
| title | source · lshtm ac uk | connector:lshtm_ac_uk@1.0.0 | /metadata/dc/title |