+<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> < 1, the disease will eventually die out. On the other hand, if
+ <em>R</em><sub>0</sub> > 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>
git.nmode.ca / Rnaught / blobdiff
