Last updated: 2020-02-03

Checks: 1 1

Knit directory: HHVtransmission/

This reproducible R Markdown analysis was created with workflowr (version 1.4.0). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.


The R Markdown file has unstaged changes. To know which version of the R Markdown file created these results, you’ll want to first commit it to the Git repo. If you’re still working on the analysis, you can ignore this warning. When you’re finished, you can run wflow_publish to commit the R Markdown file and build the HTML.

Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility. The version displayed above was the version of the Git repository at the time these results were generated.

Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use wflow_publish or wflow_git_commit). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated:


Ignored files:
    Ignored:    .DS_Store
    Ignored:    .Rhistory
    Ignored:    .Rproj.user/
    Ignored:    analysis/.DS_Store
    Ignored:    analysis/.Rhistory
    Ignored:    data/.DS_Store
    Ignored:    docs/.DS_Store
    Ignored:    docs/figure/.DS_Store
    Ignored:    output/.DS_Store
    Ignored:    output/preprocess-model-data/.DS_Store

Untracked files:
    Untracked:  data/tmp/

Unstaged changes:
    Modified:   analysis/_site.yml
    Modified:   analysis/about.Rmd
    Modified:   analysis/index.Rmd

Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.


These are the previous versions of the R Markdown and HTML files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view them.

File Version Author Date Message
html c50009c Bryan 2020-02-01 Build site.
Rmd a1d2e7b Bryan 2020-01-24 update with documentation
html a1d2e7b Bryan 2020-01-24 update with documentation
Rmd af2a4c1 Bryan 2019-12-30 all updates after co-author review; edits to tables/figs; ID75
html af2a4c1 Bryan 2019-12-30 all updates after co-author review; edits to tables/figs; ID75
html 54f6c39 Bryan 2019-11-10 separate pre-process model data and update index
Rmd ce0f229 Bryan Mayer 2019-07-09 analysis through first-final draft
html ce0f229 Bryan Mayer 2019-07-09 analysis through first-final draft
html 3bc1e7c Bryan Mayer 2019-07-04 updated analysis through exposure overview
Rmd 39e3dc0 Bryan Mayer 2019-06-07 update through transmission risk
html 39e3dc0 Bryan Mayer 2019-06-07 update through transmission risk
html c96d292 Bryan Mayer 2019-04-12 updated through exposure assessment
html 6021a9c Bryan Mayer 2019-04-08 Build site.
html 37f0c94 Bryan Mayer 2019-04-08 Build site.
html 2f57367 Bryan Mayer 2019-04-08 Build site.
html 5af6494 Bryan Mayer 2019-03-21 Build site.
Rmd 510405b Bryan Mayer 2019-03-21 wflow_git_commit(all = T)
Rmd bdcc098 Bryan Mayer 2019-03-19 Start workflowr project.

Article Authors: Mayer BT, Krantz E, Wald A, Corey L, Casper C, Gantt S, and Schiffer JT

This article was published in Viruses in 2020 and the pdf is available there.

Citation: Mayer, B.T.; Krantz, E.M.; Wald, A.; Corey, L.; Casper, C.; Gantt, S.; Schiffer, J.T. Estimating the Risk of Human Herpesvirus 6 and Cytomegalovirus Transmission to Ugandan Infants from Viral Shedding in Saliva by Household Contacts. Viruses 2020, 12, 171.

Analysis Roadmap:

  1. General statistics: Overview of the data, survival analysis, and descriptive analysis of exposures.
  2. Transmission modeling: Code that fits transmission models using the survival likelihood optimization and sensitivity analysis.
  3. Transmission model analysis: Results from the final transmission model: weekly risk estimation by exposure source and dose-response curves.

Data and other code