Update web app entry point

- Rename 'app' -> 'web'
- Return shiny app object in entry point function

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+<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>