akira-endo/COVID19_clustersize: Estimating the amount of superspreading using outbreak sizes of COVID-19 outside China

Endo, Akira; Abbott, Sam; Kucharski, Adam J.; Funk, Sebastian

doi:10.5281/zenodo.3741744

There is a newer version of the record available.

Published April 6, 2020 | Version v1.0.0

Software Open

akira-endo/COVID19_clustersize: Estimating the amount of superspreading using outbreak sizes of COVID-19 outside China

1. London School of Hygiene & Tropical Medicine
2. KucharskiLondon School of Hygiene & Tropical Medicine

Github repository archived to support a research article: Endo et al. "Estimating the amount of superspreading using outbreak sizes of COVID-19 outside China".

Files

akira-endo/COVID19_clustersize-v1.0.0.zip

Files (1.2 MB)

Name	Size	Download all
akira-endo/COVID19_clustersize-v1.0.0.zip md5:d41974ea2275e627eb24fc3f4a27ceff	1.2 MB	Preview Download

Additional details

Is supplement to: https://github.com/akira-endo/COVID19_clustersize/tree/v1.0.0 (URL)

Citations

Oops! Something went wrong while fetching results.

Views

Downloads

Show more details

	All versions	This version
Views	1,456	328
Downloads	90	45
Data volume	115.6 MB	57.5 MB

More info on how stats are collected....

DOI

Resource type

Software

Publisher

Zenodo

MIT License

A short and simple permissive license with conditions only requiring preservation of copyright and license notices. Licensed works, modifications, and larger works may be distributed under different terms and without source code. Read more

Technical metadata

Created: April 6, 2020
Modified: September 25, 2020

akira-endo/COVID19_clustersize: Estimating the amount of superspreading using outbreak sizes of COVID-19 outside China

Creators

Description

Files

akira-endo/COVID19_clustersize-v1.0.0.zip

Files (1.2 MB)

Additional details

Related works