Influenza Vaccine Effectiveness: Local Data with Global Impact

[Pages:50]Influenza Vaccine Effectiveness: Local Data with Global Impact

Emily Toth Martin, MPH PhD Assistant Professor, Epidemiology

Influenza

Yearly vaccine selection

Global Surveillance

US Flu VE Network: Five Study Sites

US Hospitalized Influenza Vaccine Effectiveness Network (HAIVEN)

? 5 year cooperative agreement, 2015-16 through 2019-20

? CDC and 4 partner institutions ? Year 1 (2014-2015) ? University of Michigan

Only ? Year 2 (2015-2016) 7 hospitals with 4700 beds ? Year 3+ (2016-) now 10+ hospitals

University of Michigan

Arnold Monto Emily Martin

University of Pittsburgh

Rick Zimmerman

Vanderbilt University

Keipp Talbot

CDC

Fernanda Silveira Don Middleton

Baylor Scott & White

Alicia Fry

Health

Jill Ferdinands

Manju Gaglani

Test-Negative Design Most commonly used observational design for estimating VE

Participants are selected from people presenting with a common case definition.

Cough in ambulatory setting; Clinical syndrome in hospital setting

Active surveillance in US

Swab collected for RT-PCR testing

Cases: subjects testing positive for influenza Controls: subjects testing negative for influenza

Estimated ratios of the odds of influenza in vaccinated and unvaccinated subjects

are used to calculate VE.

Jackson et al. Vaccine 2013; 31:2165-8. Foppa et al. Vaccine 2013; 31:3104-9.

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