dalziel

A dataset of Measles incidence across 40 US cities with relevant demographic data

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"

dalziel function

A data frame with 44,720 rows and 10 variables:<dl class="dl-horizontal">
 <dt>biweek</dt><dd>biweek of the year</dd>
 <dt>cases</dt><dd>incidence</dd>
 <dt>year</dt><dd>year</dd>
 <dt>loc</dt><dd>city name</dd>
 <dt>pop</dt><dd>population size</dd>
 <dt>rec</dt><dd>susceptible recruits</dd>
 <dt>country</dt><dd>country</dd>
 <dt>lon</dt><dd>city longitude</dd> 
 <dt>lat</dt><dd>city latitude</dd> 
 <dt>decimalYear</dt><dd>time counter</dd>
</dl>

Format

Measles incidence across 40 US cities — dalziel

A data frame with 44,720 rows and 10 variables:<dl class='dl-horizontal'>
 <dt>biweek</dt><dd>biweek of the year</dd>
 <dt>cases</dt><dd>incidence</dd>
 <dt>year</dt><dd>year</dd>
 <dt>loc</dt><dd>city name</dd>
 <dt>pop</dt><dd>population size</dd>
 <dt>rec</dt><dd>susceptible recruits</dd>
 <dt>country</dt><dd>country</dd>
 <dt>lon</dt><dd>city longitude</dd> 
 <dt>lat</dt><dd>city latitude</dd> 
 <dt>decimalYear</dt><dd>time counter</dd>
</dl>

dalziel: Measles incidence across 40 US cities

Description

Usage

Arguments

Format