superspreading: Understand Individual-Level Variation in Infectious Disease Transmission
Lambert, JW; Kucharski, AJ
; Adam, DC; Funk, S; Gupte, P; Gruson, H; Azam, JM and Hartgerink, C
(2025).
superspreading: Understand Individual-Level Variation in Infectious Disease Transmission.
[Dataset].
Comprehensive R Archive Network.
https://cran.r-project.org/package=superspreading
; Adam, DC; Funk, S; Gupte, P; Gruson, H; Azam, JM and Hartgerink, C
(2025).
superspreading: Understand Individual-Level Variation in Infectious Disease Transmission.
[Dataset].
Comprehensive R Archive Network.
https://cran.r-project.org/package=superspreading
Estimate and understand individual-level variation in transmission. Implements density and cumulative compound Poisson discrete distribution functions (Kremer et al. (2021) <doi:10.1038/s41598-021-93578-x>), as well as functions to calculate infectious disease outbreak statistics given epidemiological parameters on individual-level transmission; including the probability of an outbreak becoming an epidemic/extinct (Kucharski et al. (2020) <doi:10.1016/S1473-3099(20)30144-4>), or the cluster size statistics, e.g. what proportion of cases cause X\% of transmission (Lloyd-Smith et al. (2005) <doi:10.1038/nature04153>).
Keywords
Infectious disease transmission| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software R script |
| Capture method | Other |
| Date | 15 July 2025 |
| Language(s) of written materials | English |
| Creator(s) |
Lambert, JW; Kucharski, AJ; Adam, DC; Funk, S; Gupte, P; Gruson, H; Azam, JM and Hartgerink, C
|
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & Dynamics (2023-) |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 21 Jul 2025 09:32 |
| Last Modified | 30 Jun 2026 13:30 |
| Publisher | Comprehensive R Archive Network |
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