davies_age_extended: Susceptibility and clinical fraction parameters from Davies...
In njtierney/conmat: Builds Contact Matrices using GAMs and Population Data
davies_age_extended R Documentation
Susceptibility and clinical fraction parameters from Davies et al.
Description
A dataset containing data from https://www.nature.com/articles/s41591-020-0962-9#code-availability
When using this data, ensure that you cite the original authors at:
Usage
davies_age_extended
Format
A data frame of the probability of transmission from a case to a contact. There are 101 rows and 4 variables.
- age
from 0 to 100
- clinical_fraction
Estimate of fraction with clinical symptoms, or the age-specific proportion of infections resulting in clinical symptoms inferred by applying a smoothing spline to the mean estimates from Davies et al.
- davies_original
Age specific parameters of the relative susceptibility to
infection inferred from a smoothing-spline estimate of the mean relative susceptibility estimate from Davies et al.
- davies_updated
Re-estimated parameter of the susceptibility profile for under-16s that is estimated in a similar way but to the age-distribution of infections in England from the UK ONS prevalence survey rather than case counts which may undercount children
Details
"Davies, N.G., Klepac, P., Liu, Y. et al. Age-dependent effects in the transmission and control of COVID-19 epidemics. Nat Med 26, 1205–1211 (2020). https://doi.org/10.1038/s41591-020-0962-9"
njtierney/conmat documentation built on April 17, 2025, 10:27 p.m.
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| davies_age_extended | R Documentation |
Susceptibility and clinical fraction parameters from Davies et al.
Description
A dataset containing data from https://www.nature.com/articles/s41591-020-0962-9#code-availability When using this data, ensure that you cite the original authors at:
Usage
davies_age_extended
Format
A data frame of the probability of transmission from a case to a contact. There are 101 rows and 4 variables.
- age
from 0 to 100
- clinical_fraction
Estimate of fraction with clinical symptoms, or the age-specific proportion of infections resulting in clinical symptoms inferred by applying a smoothing spline to the mean estimates from Davies et al.
- davies_original
Age specific parameters of the relative susceptibility to infection inferred from a smoothing-spline estimate of the mean relative susceptibility estimate from Davies et al.
- davies_updated
Re-estimated parameter of the susceptibility profile for under-16s that is estimated in a similar way but to the age-distribution of infections in England from the UK ONS prevalence survey rather than case counts which may undercount children
Details
"Davies, N.G., Klepac, P., Liu, Y. et al. Age-dependent effects in the transmission and control of COVID-19 epidemics. Nat Med 26, 1205–1211 (2020). https://doi.org/10.1038/s41591-020-0962-9"
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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