Serial interval from publicly reported cases

Data on which initial serial interval estimates were performed by Du et al, 2020.

Usage

data("du_serial_interval")

Format

An object of class tbl_df (inherits from tbl, data.frame) with 752 rows and 3 columns.

Source

https://github.com/MeyersLabUTexas/COVID-19

Details

"This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited."

du_serial_interval dataframe with 752 rows and 3 columns

id (dbl)

Unique case id

symptom_onset (dbl)

Time of symptom onset as an integer

infector_id (dbl)

Case id of infector where known

References

Z. Du, X. Xu, Y. Wu, L. Wang, B. J. Cowling, and L. A. Meyers, ‘Serial Interval of COVID-19 among Publicly Reported Confirmed Cases’, Emerg Infect Dis, vol. 26, no. 6, pp. 1341–1343, Jun. 2020, doi: 10.3201/eid2606.200357.

Examples

dplyr::glimpse(du_serial_interval)
#> Rows: 752
#> Columns: 3
#> $ id            <dbl> 23, 28, 35, 22, 49, 62, 60, 63, 65, 66, 68, 88, 76, 95, …
#> $ symptom_onset <dbl> 16, 15, 16, 14, 18, 15, 17, 11, 23, 17, 21, 23, 22, 12, …
#> $ infector_id   <dbl> NA, NA, NA, NA, NA, NA, 62, 60, NA, NA, NA, NA, NA, NA, …