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

1 files changed, 11 insertions, 10 deletions

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
   <a href="https://doi.org/10.1371/journal.pone.0269306" target="_blank">article</a>.
 </p>
-
 <h4>What is the basic reproduction number?</h4>
 <p>
-  The basic reproduction number, denoted <em>R<sub>0</sub></em>, 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 <em>R</em><sub>0</sub>, 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.
 </p>
 <p>
-  If <em>R<sub>0</sub></em> &lt; 1, the disease will eventually die out. On the other hand, if
-  <em>R<sub>0</sub></em> &gt; 1, the disease will spread (the higher the <em>R<sub>0</sub></em>, the faster this will happen). Due to uncertainty of known data about the disease, it is difficult to
-  determine <em>R<sub>0</sub></em> 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 <em>R</em><sub>0</sub> &lt; 1, the disease will eventually die out. On the other hand, if
+  <em>R</em><sub>0</sub> &gt; 1, the disease will spread (the higher the <em>R</em><sub>0</sub>, the faster this will
+  happen). Due to uncertainty of known data about the disease, it is difficult to determine <em>R</em><sub>0</sub>
+  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.
 </p>