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| author | hannajankowski <hkj@yorku.ca> | 2024-05-30 10:57:36 -0400 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2024-05-30 10:57:36 -0400 |
| commit | 1878fca8d7e82bcedd2780e4e97a374c8a5d39f8 (patch) | |
| tree | f46b156b37ea1372ce620aab4eac26581974a23d /inst/app | |
| parent | 23c4ef6fdcdd595515fd4fce510a5f311627ce22 (diff) | |
Delete inst/app/templates/about.html
Diffstat (limited to 'inst/app')
| -rw-r--r-- | inst/app/templates/about.html | 27 |
1 files changed, 0 insertions, 27 deletions
diff --git a/inst/app/templates/about.html b/inst/app/templates/about.html deleted file mode 100644 index d0b81e7..0000000 --- a/inst/app/templates/about.html +++ /dev/null @@ -1,27 +0,0 @@ -<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>, 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, then 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. -</p> |