peru

Rubella incidence by age as studied by Metcalf et al (2011).

datasets

Functions, data sets and shiny apps for "Epidemics: Models and Data in R" by Ottar N. Bjornstad (ISBN 978-3-319-97487-3) <https://www.springer.com/gp/book/9783319974866>. The package contains functions to study the S(E)IR model, spatial and age-structured SIR models; time-series SIR and chain-binomial stochastic models; catalytic disease models; coupled map lattice models of spatial transmission and network models for social spread of infection. The package is also an advanced quantitative companion to the coursera Epidemics Massive Online Open Course <https://www.coursera.org/learn/epidemics>.

Ottar Bjornstad

epimdr

Functions and Data for "Epidemics: Models and Data in R"

peru function

A data frame with 95 rows and 2 variables:<dl class="dl-horizontal">
 <dt>age</dt><dd>end of age-bracket (in years)</dd>
 <dt>cumulative</dt><dd>cumulative number of rubella cases</dd>
 <dt>incidence</dt><dd>number of rubella cases</dd>
 <dt>n</dt><dd>total cases</dd>
</dl>

Format

Rubella in Peru data. — peru

A data frame with 95 rows and 2 variables:<dl class='dl-horizontal'>
 <dt>age</dt><dd>end of age-bracket (in years)</dd>
 <dt>cumulative</dt><dd>cumulative number of rubella cases</dd>
 <dt>incidence</dt><dd>number of rubella cases</dd>
 <dt>n</dt><dd>total cases</dd>
</dl>

peru: Rubella in Peru data.

Description

Usage

Arguments

Format