Deriving Pandemic Disease Mitigation Strategies by Mining Social Contact Networks

DOI10.1007/978-3-319-18567-5_19zbMath1366.91128OpenAlexW2245123661MaRDI QIDQ5270523

No author found.

Publication date: 23 June 2017

Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-18567-5_19

zbMATH Keywords

decision treecontact networkpandemic planningpublic policy generation

Mathematics Subject Classification ID

Social networks; opinion dynamics (91D30) Medical epidemiology (92C60)

Cites Work

• The failure of \(R_{0}\)
• The estimation of the effective reproductive number from disease outbreak data
• Estimation and inference of \(R_0\) of an infectious pathogen by a removal method
• Authoritative sources in a hyperlinked environment
• Detail in network models of epidemiology: are we there yet?
• Estimation of the Basic Reproduction Number for Infectious Diseases from Age-Stratified Serological Survey Data
• Estimating the Transmission Rate for a Highly Infectious Disease

This page was built for publication: Deriving Pandemic Disease Mitigation Strategies by Mining Social Contact Networks