X-Git-Url: https://git.nmode.ca/Rnaught/blobdiff_plain/107922f7ea55c5ad0f96966e4bd70988dc1a5f82..3a6bcfcf37a8423bbb59db85cf5b3aad6f7bcf72:/inst/app/templates/content/about.html?ds=sidebyside 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 article.
-- The basic reproduction number, denoted R0, 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 R0, 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.
- If R0 < 1, the disease will eventually die out. On the other hand, if - R0 > 1, the disease will spread (the higher the R0, the faster this will happen). Due to uncertainty of known data about the disease, it is difficult to - determine R0 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 R0 < 1, the disease will eventually die out. On the other hand, if + R0 > 1, the disease will spread (the higher the R0, the faster this will + happen). Due to uncertainty of known data about the disease, it is difficult to determine R0 + 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.