owid

A dataset containing COVID-19 epidemiological indicators for Canada, France, 
Germany, Italy, UK and the USA from Our World in data organization
https://github.com/owid/covid-19-data/tree/master/public/data up to 2022-11-28. 
In the case a data value is not available for a given day we assign the value 0 
to the indicator

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

owid function

A dataframe with 13 variables:<dl>
 <dt>iso_code</dt>
<dd>iso code of the country</dd> <dt>location</dt>
<dd>country name</dd> <dt>date</dt>
<dd>date of the indicator value</dd> <dt>new_cases</dt>
<dd>new confirmed cases</dd> <dt>new_cases_smoothed</dt>
<dd>new confirmed cases smoothed</dd> <dt>new_cases_restored_EpiInvert</dt>
<dd>new confirmed cases restored using EpiInvert</dd> <dt>new_deaths</dt>
<dd>new deaths attributed to COVID-19</dd> <dt>new_deaths_smoothed</dt>
<dd>new deaths smoothed</dd> <dt>new_deaths_restored_EpiInvert</dt>
<dd>new deaths restored using EpiInvert</dd> <dt>icu_patients</dt>
<dd>number of COVID-19 patients in intensive care units (ICUs) 
 on a given day</dd> <dt>hosp_patients</dt>
<dd>number of COVID-19 patients in hospital on a given day</dd> <dt>weekly_icu_admissions</dt>
<dd>number of COVID-19 patients newly admitted to 
 intensive care units (ICUs) in a given week (reporting date and the preceding 
 6 days)</dd> <dt>weekly_hosp_admissions</dt>
<dd>number of COVID-19 patients newly admitted to 
hospitals in a given week (reporting date and the preceding 6 days)</dd> </dl>

Format

A dataset with COVID-19 indicators — owid

A dataframe with 13 variables:<dl>
 <dt>iso_code</dt>
<dd>iso code of the country</dd>

 <dt>location</dt>
<dd>country name</dd>

 <dt>date</dt>
<dd>date of the indicator value</dd>

 <dt>new_cases</dt>
<dd>new confirmed cases</dd>

 <dt>new_cases_smoothed</dt>
<dd>new confirmed cases smoothed</dd>

 <dt>new_cases_restored_EpiInvert</dt>
<dd>new confirmed cases restored using EpiInvert</dd>

 <dt>new_deaths</dt>
<dd>new deaths attributed to COVID-19</dd>

 <dt>new_deaths_smoothed</dt>
<dd>new deaths smoothed</dd>

 <dt>new_deaths_restored_EpiInvert</dt>
<dd>new deaths restored using EpiInvert</dd>

 <dt>icu_patients</dt>
<dd>number of COVID-19 patients in intensive care units (ICUs) 
 on a given day</dd>

 <dt>hosp_patients</dt>
<dd>number of COVID-19 patients in hospital on a given day</dd>

 <dt>weekly_icu_admissions</dt>
<dd>number of COVID-19 patients newly admitted to 
 intensive care units (ICUs) in a given week (reporting date and the preceding 
 6 days)</dd>

 <dt>weekly_hosp_admissions</dt>
<dd>number of COVID-19 patients newly admitted to 
hospitals in a given week (reporting date and the preceding 6 days)</dd>

 

</dl>

owid: A dataset with COVID-19 indicators

Description

Usage

Arguments

Format