From e920b3e514e717fc05ed524267d3b53e272fec51 Mon Sep 17 00:00:00 2001
From: Naeem Model <me@nmode.ca>
Date: Mon, 6 Jan 2025 23:55:43 +0000
Subject: Update web app entry point

- Rename 'app' -> 'web'
- Return shiny app object in entry point function
---
 inst/app/templates/content/about.html | 28 ----------------------------
 1 file changed, 28 deletions(-)
 delete mode 100644 inst/app/templates/content/about.html

(limited to 'inst/app/templates/content/about.html')

diff --git a/inst/app/templates/content/about.html b/inst/app/templates/content/about.html
deleted file mode 100644
index 73b75ea..0000000
--- a/inst/app/templates/content/about.html
+++ /dev/null
@@ -1,28 +0,0 @@
-<h1>Welcome to the Rnaught web application</h1>
-<p>
-  Rnaught is an R package and web application for estimating the
-  <a href="https://en.wikipedia.org/wiki/Basic_reproduction_number" target="_blank">basic reproduction number</a>
-  of infectious diseases. For information about using this application, view the
-  <span class="fw-bold text-primary">Help <span class="glyphicon glyphicon-question-sign"></span></span> tab.
-  To learn more about the package, visit the online
-  <a href="https://MI2YorkU.github.io/Rnaught" target="_blank">documentation</a> or
-  <a href="https://github.com/MI2YorkU/Rnaught" target="_blank">GitHub</a> repository.
-  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</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</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>
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