Literature DB >> 20965375

Vaccination deep into a pandemic wave potential mechanisms for a "third wave" and the impact of vaccination.

Bruce Y Lee1, Shawn T Brown, Philip Cooley, John J Grefenstette, Richard K Zimmerman, Shanta M Zimmer, Margaret A Potter, Roni Rosenfeld, William D Wheaton, Ann E Wiringa, Kristina M Bacon, Donald S Burke.   

Abstract

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.
PURPOSE: 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.
Copyright © 2010 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20965375      PMCID: PMC2975455          DOI: 10.1016/j.amepre.2010.07.014

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  35 in total

1.  Vaccination versus treatment of influenza in working adults: a cost-effectiveness analysis.

Authors:  Michael B Rothberg; David N Rose
Journal:  Am J Med       Date:  2005-01       Impact factor: 4.965

2.  Epidemiological evidence of an early wave of the 1918 influenza pandemic in New York City.

Authors:  Donald R Olson; Lone Simonsen; Paul J Edelson; Stephen S Morse
Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-26       Impact factor: 11.205

3.  The signature features of influenza pandemics--implications for policy.

Authors:  Mark A Miller; Cecile Viboud; Marta Balinska; Lone Simonsen
Journal:  N Engl J Med       Date:  2009-05-07       Impact factor: 91.245

Review 4.  Evolution and ecology of influenza A viruses.

Authors:  R G Webster; W J Bean; O T Gorman; T M Chambers; Y Kawaoka
Journal:  Microbiol Rev       Date:  1992-03

5.  Public health and medical responses to the 1957-58 influenza pandemic.

Authors:  D A Henderson; Brooke Courtney; Thomas V Inglesby; Eric Toner; Jennifer B Nuzzo
Journal:  Biosecur Bioterror       Date:  2009-09

6.  Transmission dynamics and impact of pandemic influenza A (H1N1) 2009 virus.

Authors: 
Journal:  Wkly Epidemiol Rec       Date:  2009-11-13

7.  Economics of influenza vaccine administration timing for children.

Authors:  Bruce Y Lee; Julie H Y Tai; Rachel R Bailey; Kenneth J Smith; Andrew J Nowalk
Journal:  Am J Manag Care       Date:  2010-03       Impact factor: 2.229

8.  Modelling seasonality and viral mutation to predict the course of an influenza pandemic.

Authors:  P Shi; P Keskinocak; J L Swann; B Y Lee
Journal:  Epidemiol Infect       Date:  2010-02-17       Impact factor: 2.451

9.  The timing of influenza vaccination for older adults (65 years and older).

Authors:  Bruce Y Lee; Julie H Y Tai; Rachel R Bailey; Kenneth J Smith
Journal:  Vaccine       Date:  2009-09-26       Impact factor: 3.641

10.  Strategies for mitigating an influenza pandemic.

Authors:  Neil M Ferguson; Derek A T Cummings; Christophe Fraser; James C Cajka; Philip C Cooley; Donald S Burke
Journal:  Nature       Date:  2006-04-26       Impact factor: 49.962

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  25 in total

1.  Impact of introducing the pneumococcal and rotavirus vaccines into the routine immunization program in Niger.

Authors:  Bruce Y Lee; Tina-Marie Assi; Jayant Rajgopal; Bryan A Norman; Sheng-I Chen; Shawn T Brown; Rachel B Slayton; Souleymane Kone; Hailu Kenea; Joel S Welling; Diana L Connor; Angela R Wateska; Anirban Jana; Ann E Wiringa; Willem G Van Panhuis; Donald S Burke
Journal:  Am J Public Health       Date:  2011-11-28       Impact factor: 9.308

2.  How influenza vaccination policy may affect vaccine logistics.

Authors:  Tina-Marie Assi; Korngamon Rookkapan; Jayant Rajgopal; Vorasith Sornsrivichai; Shawn T Brown; Joel S Welling; Bryan A Norman; Diana L Connor; Sheng-I Chen; Rachel B Slayton; Yongjua Laosiritaworn; Angela R Wateska; Stephen R Wisniewski; Bruce Y Lee
Journal:  Vaccine       Date:  2012-04-24       Impact factor: 3.641

Review 3.  A systems approach to obesity.

Authors:  Bruce Y Lee; Sarah M Bartsch; Yeeli Mui; Leila A Haidari; Marie L Spiker; Joel Gittelsohn
Journal:  Nutr Rev       Date:  2017-01       Impact factor: 7.110

Review 4.  The 2009 H1N1 influenza pandemic: a case study of how modeling can assist all stages of vaccine decision-making.

Authors:  Bruce Y Lee; Ann E Wiringa
Journal:  Hum Vaccin       Date:  2011-01-01

5.  Preparedness and emergency response research centers: using a public health systems approach to improve all-hazards preparedness and response.

Authors:  Mary Leinhos; Shoukat H Qari; Mildred Williams-Johnson
Journal:  Public Health Rep       Date:  2014       Impact factor: 2.792

6.  Does Choice of Influenza Vaccine Type Change Disease Burden and Cost-Effectiveness in the United States? An Agent-Based Modeling Study.

Authors:  Jay V DePasse; Kenneth J Smith; Jonathan M Raviotta; Eunha Shim; Mary Patricia Nowalk; Richard K Zimmerman; Shawn T Brown
Journal:  Am J Epidemiol       Date:  2017-05-01       Impact factor: 4.897

7.  Apollo: giving application developers a single point of access to public health models using structured vocabularies and Web services.

Authors:  Michael M Wagner; John D Levander; Shawn Brown; William R Hogan; Nicholas Millett; Josh Hanna
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

8.  A sequential experimental design method to evaluate a combination of school closure and vaccination policies to control an H1N1-like pandemic.

Authors:  Kiatikun Louis Luangkesorn; Farhad Ghiasabadi; Jagpreet Chhatwal
Journal:  J Public Health Manag Pract       Date:  2013 Sep-Oct

9.  Quantifying the economic value and quality of life impact of earlier influenza vaccination.

Authors:  Bruce Y Lee; Sarah M Bartsch; Shawn T Brown; Philip Cooley; William D Wheaton; Richard K Zimmerman
Journal:  Med Care       Date:  2015-03       Impact factor: 2.983

10.  Removing the regional level from the Niger vaccine supply chain.

Authors:  Tina-Marie Assi; Shawn T Brown; Souleymane Kone; Bryan A Norman; Ali Djibo; Diana L Connor; Angela R Wateska; Jayant Rajgopal; Rachel B Slayton; Bruce Y Lee
Journal:  Vaccine       Date:  2013-04-17       Impact factor: 3.641

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