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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<sub>0</sub></em>, describes the expected number of infections caused by a
+  single infectious individual. 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. As such, it is a useful
+  indicator of the transmissibility of a disease during the early stages of its detection.
+</p>
+<p>
+  If <em>R<sub>0</sub></em> &lt; 1, then the disease will eventually die out. On the other hand, if
+  <em>R<sub>0</sub></em> &gt; 1, the rate at which the disease spreads is exponential. Typically, it is difficult to
+  determine <em>R<sub>0</sub></em> precisely, due to uncertainty in information relating to the spread of the disease.
+  Therefore, many estimation methods exist, each based on their own models and yielding different estimates. It is the
+  responsibility of public health officials to employ the most appropriate estimator given the situation at hand.
+</p>