Comparison of three methods for ascertainment of contact information relevant to respiratory pathogen transmission in encounter networks
Open Access
- 10 June 2010
- journal article
- research article
- Published by Springer Nature in BMC Infectious Diseases
- Vol. 10 (1) , 166
- https://doi.org/10.1186/1471-2334-10-166
Abstract
Mathematical models of infection that consider targeted interventions are exquisitely dependent on the assumed mixing patterns of the population. We report on a pilot study designed to assess three different methods (one retrospective, two prospective) for obtaining contact data relevant to the determination of these mixing patterns.This publication has 26 references indexed in Scilit:
- Estimating the impact of school closure on social mixing behaviour and the transmission of close contact infections in eight European countriesBMC Infectious Diseases, 2009
- Mining social mixing patterns for infectious disease models based on a two-day population survey in BelgiumBMC Infectious Diseases, 2009
- Social Contacts and Mixing Patterns Relevant to the Spread of Infectious DiseasesPLoS Medicine, 2008
- Modeling targeted layered containment of an influenza pandemic in the United StatesProceedings of the National Academy of Sciences, 2008
- Dynamic social networks and the implications for the spread of infectious diseaseJournal of The Royal Society Interface, 2008
- Social contact networks for the spread of pandemic influenza in children and teenagersBMC Public Health, 2008
- Social contacts of school children and the transmission of respiratory-spread pathogensEpidemiology and Infection, 2007
- Social mixing patterns for transmission models of close contact infections: exploring self-evaluation and diary-based data collection through a web-based interfaceEpidemiology and Infection, 2006
- Strategies for mitigating an influenza pandemicNature, 2006
- Mitigation strategies for pandemic influenza in the United StatesProceedings of the National Academy of Sciences, 2006