Vaccination deep into a pandemic wave potential mechanisms for a "third wave" and the impact of vaccination.
BACKGROUND
In December 2009, when the H1N1 influenza pandemic appeared to be subsiding, public health officials and unvaccinated individuals faced the question of whether continued H1N1 immunization was still worthwhile.


OBJECTIVE
To delineate what combinations of possible mechanisms could generate a third pandemic wave and then explore whether vaccinating the population at different rates and times would mitigate the wave.


METHODS
As part of ongoing work with the Office of the Assistant Secretary for Preparedness and Response at the USDHHS during the H1N1 influenza pandemic, the University of Pittsburgh Models of Infectious Disease Agent Study team employed an agent-based computer simulation model of the Washington DC metropolitan region to delineate what mechanisms could generate a "third pandemic wave" and explored whether vaccinating the population at different rates and times would mitigate the wave. This model included explicit representations of the region's individuals, school systems, workplaces/commutes, households, and communities.


RESULTS
Three mechanisms were identified that could cause a third pandemic wave; substantially increased viral transmissibility from seasonal forcing (changing influenza transmission with changing environmental conditions, i.e., seasons) and progressive viral adaptation; an immune escape variant; and changes in social mixing from holiday school closures. Implementing vaccination for these mechanisms, even during the down-slope of the fall epidemic wave, significantly mitigated the third wave. Scenarios showed the gains from initiating vaccination earlier, increasing the speed of vaccination, and prioritizing population subgroups based on Advisory Committee on Immunization Practices recommendations.


CONCLUSIONS
Additional waves in an epidemic can be mitigated by vaccination even when an epidemic appears to be waning.
Department of Medicine, University of Pittsburgh, PA 15213, USA. BYL1@pitt.edu
Bruce Y
BY
Lee
Shawn T
ST
Brown
Philip
P
Cooley
John J
JJ
Grefenstette
Richard K
RK
Zimmerman
Shanta M
SM
Zimmer
Margaret A
MA
Potter
Roni
R
Rosenfeld
William D
WD
Wheaton
Ann E
AE
Wiringa
Kristina M
KM
Bacon
Donald S
DS
Burke
D000293:Adolescent; D000328:Adult; D000368:Aged; D002648:Child; D002675:Child, Preschool; D003198:Computer Simulation; D004196:Disease Outbreaks / Q000517:prevention & control* / Q000706:statistics & numerical data; D004219:District of Columbia / Q000453:epidemiology; D006801:Humans; D053118:Influenza A Virus, H1N1 Subtype / Q000276:immunology*; D007252:Influenza Vaccines / Q000008:administration & dosage* / Q000600:supply & distribution; D007251:Influenza, Human / Q000453:epidemiology / Q000517:prevention & control*; D008875:Middle Aged; D008954:Models, Biological; D055815:Young Adult
D007252:Influenza Vaccines