Influence of social contact patterns and demographic factors on influenza simulation results-Reference-Cited by-同舟云学术

Influence of social contact patterns and demographic factors on influenza simulation results

Published:2016-11-07 Issue:1 Volume:16 Page:
ISSN:1471-2334
Container-title:BMC Infectious Diseases
language:en
Short-container-title:BMC Infect Dis

Author:

Schmidt-Ott Ruprecht,Schwehm Markus,Eichner Martin

Publisher

Springer Science and Business Media LLC

Subject

Infectious Diseases

Link

http://link.springer.com/content/pdf/10.1186/s12879-016-1981-5.pdf

Reference23 articles.

1. Mossong J, et al. Social contacts and mixing patterns relevant to the spread of infectious diseases. PLoS Med. 2008;5(3):e74.

2. Lanzieri G. The greying of the baby boomers. A century-long view of ageing in European populations. Eurostat Statistics in focus. 2011;(23). Available from: https://bookshop.europa.eu .

3. Wallinga J, Teunis P, Kretzschmar M. Using data on social contacts to estimate age-specific transmission parameters for respiratory-spread infectious agents. Am J Epidemiol. 2006;164(10):936–44.

4. Eichner M, et al. 4Flu—an individual based simulation tool to study the effects of quadrivalent vaccination on seasonal influenza in Germany. BMC Infect Dis. 2014;14:365.

5. Dolk C, et al. Cost-Utility of Quadrivalent Versus Trivalent Influenza Vaccine in Germany, Using an Individual-Based Dynamic Transmission Model. Pharmacoeconomics. 2016. [Epub ahead of print].

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