This dashboard provides a comprehensive view of antibody response data for fragile populations. Here you can explore and visualize summary statistics for the selected cohort, such as the number of patients within each antibody response category at different time points. Use the filters to select specific cohorts and view the distribution of antibody levels over time.

The table displays key metrics, including event names, patient counts, response frequencies, and titer level categories like “None,” “Inconclusive,” “Positive Low,” “Positive Mild,” and “High.” A bar chart below provides a visual representation of antibody responses across events, making it easy to observe trends and patterns.

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Here you can generate an alluvial plot to visualize changes in individuals' antibody response categories over time. The flows in the plot (alluvia) represent individual patients transitioning between consecutive events, with the color of each alluvium indicating the antibody response category of the individual. Note: the data used for this plot has been filtered to include only individuals with five or fewer missing antibody tests.

Filter plot by event:

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This tab allows to compare titer levels between cohorts at a timepoint of interest. A chi-square test is used to assess whether the difference is statistically significant.

A two-way comparison between cohorts at a specific time-point

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This table allows you to estimate transitions from a certain antibody category to another one, and compare these to another cohort's transitions. A t-test is being used to assess statistical significance between differences in transitions.

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Transition probabilities are displayed for selected disease group. Default is all events (average transition probabilities across) time, but filtering for particular time points is also supported.

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