COVID19_JanApr2020_HongKong

This dataset (i.e., <code>COVID19_JanApr2020_HongKong</code>) contains 290 observations of offspring case number generated by one seed case,
which were collected during the coronavirus disease 2019 (COVID-19) outbreak in Hong Kong, China from January to April 2020.

datasets

Comprehensive analytical tools are provided to characterize infectious disease superspreading from contact tracing surveillance data. The underlying theoretical frameworks of this toolkit include branching process with transmission heterogeneity (Lloyd-Smith et al. (2005) <doi:10.1038/nature04153>), case cluster size distribution (Nishiura et al. (2012) <doi:10.1016/j.jtbi.2011.10.039>, Blumberg et al. (2014) <doi:10.1371/journal.ppat.1004452>, and Kucharski and Althaus (2015) <doi:10.2807/1560-7917.ES2015.20.25.21167>), and decomposition of reproduction number (Zhao et al. (2022) <doi:10.1371/journal.pcbi.1010281>).

Shi Zhao

modelSSE

Modelling Infectious Disease Superspreading from Contact Tracing
Data

COVID19_JanApr2020_HongKong function

A data frame (<code>data.frame</code>) with 290 rows of records, and 2 columns of variables:<dl>
<dt><code>obs</code></dt>
<dd>Observations of offspring (or secondary) case numbers generated by each seed case.</dd><dt><code>type</code></dt>
<dd>A categorical variable takes the value "secondary" indicating the type of observations.</dd>
</dl>

Format

A dataset of COVID-19 outbreak in Hong Kong — COVID19_JanApr2020_HongKong

A data frame (<code>data.frame</code>) with 290 rows of records, and 2 columns of variables:<dl>
<dt><code>obs</code></dt>
<dd>Observations of offspring (or secondary) case numbers generated by each seed case.</dd>

<dt><code>type</code></dt>
<dd>A categorical variable takes the value "secondary" indicating the type of observations.</dd>


</dl>

COVID19_JanApr2020_HongKong: A dataset of COVID-19 outbreak in Hong Kong

Description

Usage

Arguments

Format

References

Examples