incidence

A dataset containing daily incidence of COVID-19 for France, 
Germany, UK and the USA

datasets

Using variational techniques we address some epidemiological
problems as the incidence curve decomposition by inverting the renewal
equation as described in Alvarez et al. (2021) <doi:10.1073/pnas.2105112118>
and Alvarez et al. (2022) <doi:10.3390/biology11040540> or the estimation of
the functional relationship between epidemiological indicators. We also
propose a learning method for the short time forecast of the trend
incidence curve as described in
Morel et al. (2022) <doi:10.1101/2022.11.05.22281904>.

Luis Alvarez

EpiInvert

Variational Techniques in Epidemiology

Jean-David Morel

Jean-Michel Morel

incidence function

A data frame with 5 variables:<dl>
 <dt>date</dt>
<dd>date of the incidence.</dd> <dt>FRA</dt>
<dd>incidence of France.</dd> <dt>DEU</dt>
<dd>incidence of Germany.</dd> <dt>UK</dt>
<dd>incidence of UK.</dd> <dt>USA</dt>
<dd>incidence of USA.</dd>
</dl>An updated version of this dataset can be found at 
https://www.ctim.es/covid19/incidence.csv

Format

A dataset containing daily incidence of COVID-19 for France, 
Germany, UK and the USA — incidence

A data frame with 5 variables:<dl>
 <dt>date</dt>
<dd>date of the incidence.</dd>

 <dt>FRA</dt>
<dd>incidence of France.</dd>

 <dt>DEU</dt>
<dd>incidence of Germany.</dd>

 <dt>UK</dt>
<dd>incidence of UK.</dd>

 <dt>USA</dt>
<dd>incidence of USA.</dd>


</dl>

An updated version of this dataset can be found at 
https://www.ctim.es/covid19/incidence.csv

incidence: A dataset containing daily incidence of COVID-19 for France, Germany, UK and the USA

Description

Usage

Arguments

Format