wuhan_exported

Constructed from <code>covid19_data</code>, see <code>example(preprocess.data)</code>.

datasets

Implements likelihood inference for early epidemic analysis. BETS is short for the four key epidemiological events being modeled: Begin of exposure, End of exposure, time of Transmission, and time of Symptom onset. The package contains a dataset of the trajectory of confirmed cases during the coronavirus disease (COVID-19) early outbreak. More detail of the statistical methods can be found in Zhao et al. (2020) <arXiv:2004.07743>.

Qingyuan Zhao

bets.covid19

The BETS Model for Early Epidemic Data

Nianqiao Ju

wuhan_exported function

A data frame with 378 rows and 4 variables:<dl class="dl-horizontal">
 <dt>Location</dt><dd>Where the case is confirmed.</dd>
 <dt>Gender</dt><dd>Gender of the patient.</dd>
 <dt>Age</dt><dd>Age of the patient.</dd>
 <dt>B</dt><dd>Beginning of stay in Wuhan.</dd>
 <dt>E</dt><dd>End of stay in Wuhan.</dd>
 <dt>S</dt><dd>Symptom onset.</dd>
</dl>

Format

COVID-19 exported from Wuhan — wuhan_exported

A data frame with 378 rows and 4 variables:<dl class='dl-horizontal'>
 <dt>Location</dt><dd>Where the case is confirmed.</dd>
 <dt>Gender</dt><dd>Gender of the patient.</dd>
 <dt>Age</dt><dd>Age of the patient.</dd>
 <dt>B</dt><dd>Beginning of stay in Wuhan.</dd>
 <dt>E</dt><dd>End of stay in Wuhan.</dd>
 <dt>S</dt><dd>Symptom onset.</dd>
</dl>

wuhan_exported: COVID-19 exported from Wuhan

Description

Usage

Arguments

Format