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modelSSE: Modelling Infectious Disease Superspreading from Contact Tracing Data

Comprehensive analytical tools are provided to characterize infectious disease superspreading from contact tracing surveillance data. The underlying theoretical frameworks of this toolkit include branching process with transmission heterogeneity (Lloyd-Smith et al. (2005) <doi:10.1038/nature04153>), case cluster size distribution (Nishiura et al. (2012) <doi:10.1016/j.jtbi.2011.10.039>, Blumberg et al. (2014) <doi:10.1371/journal.ppat.1004452>, and Kucharski and Althaus (2015) <doi:10.2807/1560-7917.ES2015.20.25.21167>), and decomposition of reproduction number (Zhao et al. (2022) <doi:10.1371/journal.pcbi.1010281>).

Version: 0.1-3
Depends: R (≥ 3.0.0)
Imports: Delaporte
Published: 2023-09-07
DOI: 10.32614/CRAN.package.modelSSE
Author: Shi Zhao ORCID iD [aut, cre]
Maintainer: Shi Zhao <zhaoshi.cmsa at gmail.com>
License: GPL-3
NeedsCompilation: no
In views: Epidemiology
CRAN checks: modelSSE results

Documentation:

Reference manual: modelSSE.pdf

Downloads:

Package source: modelSSE_0.1-3.tar.gz
Windows binaries: r-devel: modelSSE_0.1-3.zip, r-release: modelSSE_0.1-3.zip, r-oldrel: modelSSE_0.1-3.zip
macOS binaries: r-release (arm64): modelSSE_0.1-3.tgz, r-oldrel (arm64): modelSSE_0.1-3.tgz, r-release (x86_64): modelSSE_0.1-3.tgz, r-oldrel (x86_64): modelSSE_0.1-3.tgz
Old sources: modelSSE archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.