Software Open Access
ImperialCollegeLondon/covid19model: Age groups that sustain resurging COVID-19 epidemics in the United States (peer-reviewed)
Melodie Monod; Alexandra Blenkinsop; Xiaoyue Xi; Juliette Unwin; Swapnil Mishra; Oliver Ratman
Version 11 Release
This is the release related to our Science Paper, where we use age-specific mobility data to estimate the epidemic in the USA by accounting for age-specific heterogeneity. All other code is still the same for previous releases.
To run this code you need to follow the steps listed in the age-specific model here.
The code should be run in full mode to obtain credible results. Not running a full run to estimate anything is not recommended and discouraged. Only a full run should be used to get results.
The instructions for European, Italy, Brazil, USA, Nature, and IFR code are the same as earlier (Look at version 3, version 4, version 5, version 6, version 7, and version 8). This release is specific to Science paper.
This release has been checked on macOS Catalina version 10.15.6/7 and Ubuntu version 18.04.2.
| Name | Size | |
|---|---|---|
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ImperialCollegeLondon/covid19model-v11.0.zip
md5:4688eed41fb29b302c65da993f582dc3 |
117.1 MB | Download |
| All versions | This version | |
|---|---|---|
| Views | 3,456 | 823 |
| Downloads | 193 | 33 |
| Data volume | 13.5 GB | 3.9 GB |
| Unique views | 2,676 | 666 |
| Unique downloads | 160 | 31 |
Indexed in
- Publication date:
- January 25, 2021
- DOI:
-
- Related identifiers:
- Supplement to
- Communities:
- License (for files):
- Other (Open)