tywhooping

A dataset containing the weekly incidence 
incidence of whooping cough in Philadelphia between 1925 and 1947.

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"

tywhooping function

A data frame with 1200 rows and 5 variables:<dl class="dl-horizontal">
 <dt>YEAR</dt><dd>the year</dd>
 <dt>WEEK</dt><dd>the week</dd>
 <dt>PHILADELPHIA</dt><dd>weekly whooping cough incidence</dd>
 <dt>TIME</dt><dd>the time counter</dd>
 <dt>TM</dt><dd>observation counter</dd>
</dl>

Format

Weekly incidence of whooping cough in Philadelphia between 1925 and 1947. — tywhooping

A data frame with 1200 rows and 5 variables:<dl class='dl-horizontal'>
 <dt>YEAR</dt><dd>the year</dd>
 <dt>WEEK</dt><dd>the week</dd>
 <dt>PHILADELPHIA</dt><dd>weekly whooping cough incidence</dd>
 <dt>TIME</dt><dd>the time counter</dd>
 <dt>TM</dt><dd>observation counter</dd>
</dl>

tywhooping: Weekly incidence of whooping cough in Philadelphia between 1925 and 1947.

Description

Usage

Arguments

Format