modelSSE
Modelling Infectious Disease Superspreading from Contact Tracing Data
Last update: 7 September 2023
Copyright license: GNU General Public License, version 3.0
Software version identifier: 0.1-1, 0.1-2, 0.1-3
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>).
- Estimating the transmission potential of supercritical processes based on the final size distribution of minor outbreaks
- Superspreading and the effect of individual variation on disease emergence
- Detecting Differential Transmissibilities That Affect the Size of Self-Limited Outbreaks
- The role of superspreading in Middle East respiratory syndrome coronavirus (MERS-CoV) transmission
- Characterizing superspreading potential of infectious disease: Decomposition of individual transmissibility
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