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).
- Version0.1-3
- R version≥ 3.0.0
- LicenseGPL-3
- Needs compilation?No
- Last release09/07/2023
Documentation
Team
Shi Zhao
Insights
Last 30 days
This package has been downloaded 176 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,643 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 21, 2024 with 197 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports1 package