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[Rnaught] / inst / app / templates / content / about.html

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   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>
   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>
 <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>
 </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>
 </p>