From 9fd931aeeba4ab7bdede1a625f64e7024c2b55aa Mon Sep 17 00:00:00 2001 From: Naeem Model Date: Sun, 9 Jun 2024 16:01:51 +0000 Subject: Update Shiny app - Remove template/logic for single data entry - Change 'Add estimators' to 'About estimators'; adding estimators and viewing estimates are now done in the same tab - Swap rows and columns in estimates table (estimators as row names, datasets as column names) - Add a separate column for the serial interval to the estimates table - Add plots for daily and weekly data using the Plotly library - Remove italics from the subscript in all occurences of 'R_0' - Fix code/text formatting --- inst/app/templates/content/about.html | 21 +++++++++++---------- 1 file changed, 11 insertions(+), 10 deletions(-) (limited to 'inst/app/templates/content/about.html') diff --git a/inst/app/templates/content/about.html b/inst/app/templates/content/about.html index d88738f..73b75ea 100644 --- a/inst/app/templates/content/about.html +++ b/inst/app/templates/content/about.html @@ -10,18 +10,19 @@ Technical details about the estimators featured in this project can be found in the reference article.

-

What is the basic reproduction number?

- The basic reproduction number, denoted R0, is defined as the expected number of infections caused by a - single infectious individual when introduced into a totally susceptible population. It assumes that all individuals in a given population are susceptible to the disease, - and that no preventive measures (such as lockdowns or vaccinations) have been enforced. It is a useful - indicator of the transmissibility of an infectious disease during the early stages of its spread and detection. + The basic reproduction number, denoted R0, is defined as the expected number of infections caused + by a single infectious individual when introduced into a totally susceptible population. It assumes that all + individuals in a given population are susceptible to the disease, and that no preventive measures (such as lockdowns + or vaccinations) have been enforced. It is a useful indicator of the transmissibility of an infectious disease during + the early stages of its spread and detection.

- If R0 < 1, the disease will eventually die out. On the other hand, if - R0 > 1, the disease will spread (the higher the R0, the faster this will happen). Due to uncertainty of known data about the disease, it is difficult to - determine R0 precisely. - Therefore, many estimation methods exist, each based on different assumptions and yielding different estimates. It is the - responsibility of users to employ the most appropriate estimator (or suite of estimators) given the situation at hand. + If R0 < 1, the disease will eventually die out. On the other hand, if + R0 > 1, the disease will spread (the higher the R0, the faster this will + happen). Due to uncertainty of known data about the disease, it is difficult to determine R0 + precisely. Therefore, many estimation methods exist, each based on different assumptions and yielding different + estimates. It is the responsibility of users to employ the most appropriate estimator (or suite of estimators) given + the situation at hand.

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