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) 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).
- Version1.0
- R versionunknown
- LicenseBSD_3_clause
- LicenseLICENSE
- Needs compilation?No
- Last release08/27/2022
Documentation
- VignetteStatistical Modelling for Infectious Disease Management - Contacts
- VignetteStatistical Modelling for Infectious Disease Management - Contagious period
- VignetteStatistical Modelling for Infectious Disease Management - Prediction of future infections in a group
- VignetteStatistical Modelling for Infectious Disease Management - Infection period
- VignetteStatistical Modelling for Infectious Disease Management - Risk assessment group quarantine
- MaterialREADME
Team
Sonja Jäckle
Max Westphal
Show author detailsRolesAuthorStefanie Grimm
Show author detailsRolesAuthorRieke Alpers
Hong Phuc Truong
Show author detailsRolesAuthorAmelie Lucker
Show author detailsRolesContributorFraunhofer MEVIS
Show author detailsRolesCopyright holderFraunhofer ITWM
Show author detailsRolesCopyright holder
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- Imports2 packages
- Suggests9 packages