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Real surveillance data covering the Omicron BA.1 to BA.2 variant replacement in the United States, December 2021 through June 2022. This is one of the best-documented variant replacement events and serves as an independent validation dataset.

Usage

cdc_ba2_transition

Format

A data frame with 150 rows and 4 columns:

date

Biweek ending date (Date).

lineage

Lineage name: BA.1, BA.2, BA.2.12.1, BA.4/5, Other.

count

Approximate sequence count per biweek (integer).

proportion

CDC weighted proportion estimate (numeric).

Source

CDC COVID Data Tracker (data.cdc.gov, public domain).

References

Lyngse FP, et al. (2022). Household transmission of SARS-CoV-2 Omicron variant of concern subvariants BA.1 and BA.2 in Denmark. Nature Communications, 13:5760. doi:10.1038/s41467-022-33498-0

Examples

data(cdc_ba2_transition)
vd <- lfq_data(cdc_ba2_transition,
               date = date, lineage = lineage, count = count)
fit <- fit_model(vd, engine = "mlr", pivot = "BA.1")
# BA.2 Rt ~ 1.34 (consistent with published estimates)
growth_advantage(fit, type = "relative_Rt", generation_time = 3.2)
#> # A tibble: 5 × 6
#>   lineage   estimate lower upper type        pivot
#>   <chr>        <dbl> <dbl> <dbl> <chr>       <chr>
#> 1 BA.1         1     1     1     relative_Rt BA.1 
#> 2 BA.2         1.34  1.34  1.34  relative_Rt BA.1 
#> 3 BA.2.12.1    1.56  1.55  1.56  relative_Rt BA.1 
#> 4 BA.4/5       2.01  2.00  2.02  relative_Rt BA.1 
#> 5 Other        0.707 0.704 0.711 relative_Rt BA.1