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

In modelSSE: Modelling Infectious Disease Superspreading from Contact Tracing Data

A dataset of COVID-19 outbreak in Hong Kong

Description

This dataset (i.e., COVID19_JanApr2020_HongKong) 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.

Usage

COVID19_JanApr2020_HongKong

Format

A data frame (data.frame) with 290 rows of records, and 2 columns of variables:

obs

Observations of offspring (or secondary) case numbers generated by each seed case.

type

A categorical variable takes the value "secondary" indicating the type of observations.

Source

Summary of data and outbreak situation of the Severe Respiratory Disease associated with a Novel Infectious Agent, released by the Centre for Health Protection, Department of Health, the Government of the Hong Kong Special Administrative Region. See for example, https://www.coronavirus.gov.hk/eng/index.html

References

Adam DC, Wu P, Wong JY, Lau EH, Tsang TK, Cauchemez S, Leung GM, Cowling BJ. Clustering and superspreading potential of SARS-CoV-2 infections in Hong Kong. Nature Medicine. 2020;26(11):1714-1719. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1038/s41591-020-1092-0")}

Examples

data(COVID19_JanApr2020_HongKong)
summary(COVID19_JanApr2020_HongKong)
table(COVID19_JanApr2020_HongKong$obs)

modelSSE documentation built on Sept. 8, 2023, 5:52 p.m.