Published August 13, 2021
| Version v1
Preprint
Open
Data of "Meteorological factors and non-pharmaceutical interventions explain local differences in the spread of SARS-CoV-2 in Austria"
Creators
- 1. Complexity Science Hub, Medical University of Vienna
- 2. Zentralanstalt für Meteorologie und Geodynamik
- 3. Austrian National Public Health Institute
- 4. Complexity Science Hub, TU Wien
- 5. TU Wien, dwh GmbH
- 6. DEXHELPP, TU Wien, dwh GmbH
Description
A data-driven modelling approach based on an age-structured model that compares 116 Austrian regions to a suitably chosen control set of regions to explain variations in local transmission rates through a combination of meteorological factors, non-pharamaceutical interventions and mobility.
Repository contains input data time series of metereological factors, regional measures and mobility used to calculate the effect sizes of these variable groups.
Files
cloud_mean_Bezirk.csv
Files
(16.6 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:4ce3fbb125ce0e417f6552ae0cdc4d81
|
3.1 MB | Preview Download |
|
md5:00e09e7eb65e5e2a6761ff7571a6e54b
|
155.1 kB | Preview Download |
|
md5:71ff1d812e332bcae529f02915a6343c
|
3.6 MB | Preview Download |
|
md5:c312391449bacfa220a4b22f1bf8910e
|
2.5 MB | Preview Download |
|
md5:799df20e71847663f5eee76503b00e1b
|
410.4 kB | Download |
|
md5:b443ac53729578a510b062e14c39bcb0
|
3.5 MB | Preview Download |
|
md5:0d4ff70285da233f131a98cd764dd642
|
3.5 MB | Preview Download |