smidm
Statistical Modelling for Infectious Disease Management
Statistical models for specific coronavirus disease 2019 use cases at German local health authorities. All models of Statistical modelling for infectious disease management 'smidm' are part of the decision support toolkit in the 'EsteR' project. More information is published in Sonja Jäckle, Rieke Alpers, Lisa Kühne, Jakob Schumacher, Benjamin Geisler, Max Westphal "'EsteR' – A Digital Toolkit for COVID-19 Decision Support in Local Health Authorities" (2022) <doi:10.3233/SHTI220799> and Sonja Jäckle, Elias Röger, Volker Dicken, Benjamin Geisler, Jakob Schumacher, Max Westphal "A Statistical Model to Assess Risk for Supporting COVID-19 Quarantine Decisions" (2021) <doi:10.3390/ijerph18179166>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling linux/jammy R-4.5 | smidm_1.0.tar.gz |
181.9 KiB |
1.0 |
rolling linux/noble R-4.5 | smidm_1.0.tar.gz |
181.9 KiB |
1.0 |
rolling source/ R- | smidm_1.0.tar.gz |
169.5 KiB |
1.0 |
latest linux/jammy R-4.5 | smidm_1.0.tar.gz |
181.9 KiB |
1.0 |
latest linux/noble R-4.5 | smidm_1.0.tar.gz |
181.9 KiB |
1.0 |
latest source/ R- | smidm_1.0.tar.gz |
169.5 KiB |
1.0 |
2026-04-26 source/ R- | smidm_1.0.tar.gz |
169.5 KiB |
1.0 |
2026-04-23 source/ R- | smidm_1.0.tar.gz |
169.5 KiB |
1.0 |
2026-04-09 windows/windows R-4.5 | smidm_1.0.zip |
192.8 KiB |
1.0 |
2025-04-20 source/ R- | smidm_1.0.tar.gz |
169.5 KiB |