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diff --git a/inst/app/templates/content/about.html b/inst/app/templates/content/about.html index d88738f..73b75ea 100644 --- a/inst/app/templates/content/about.html +++ b/inst/app/templates/content/about.html @@ -10,18 +10,19 @@ 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>, 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> - If <em>R<sub>0</sub></em> < 1, the disease will eventually die out. On the other hand, if - <em>R<sub>0</sub></em> > 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> < 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> |