Literature DB >> 20042311

A computer simulation of employee vaccination to mitigate an influenza epidemic.

Bruce Y Lee1, Shawn T Brown, Philip C Cooley, Richard K Zimmerman, William D Wheaton, Shanta M Zimmer, John J Grefenstette, Tina-Marie Assi, Timothy J Furphy, Diane K Wagener, Donald S Burke.   

Abstract

BACKGROUND: Better understanding the possible effects of vaccinating employees is important and can help policymakers and businesses plan vaccine distribution and administration logistics, especially with the current H1N1 influenza vaccine in short supply.
PURPOSE: This article aims to determine the effects of varying vaccine coverage, compliance, administration rates, prioritization, and timing among employees during an influenza pandemic.
METHODS: As part of the H1N1 influenza planning efforts of the Models of Infectious Disease Agent Study network, an agent-based computer simulation model was developed for the Washington DC metropolitan region, encompassing five metropolitan statistical areas. Each simulation run involved introducing 100 infectious individuals to initiate a 1.3 reproductive-rate (R(0)) epidemic, consistent with H1N1 parameters to date. Another set of scenarios represented a R(0)=1.6 epidemic.
RESULTS: An unmitigated epidemic resulted in substantial productivity losses (a mean of $112.6 million for a serologic 15% attack rate and $193.8 million for a serologic 25% attack rate), even with the relatively low estimated mortality impact of H1N1. Although vaccinating Advisory Committee on Immunization Practices-defined priority groups resulted in the largest savings, vaccinating all remaining workers captured additional savings and, in fact, reduced healthcare workers' and critical infrastructure workers' chances of infection. Moreover, although employee vaccination compliance affected the epidemic, once 20% compliance was achieved, additional increases in compliance provided less incremental benefit. Even though a vast majority of the workplaces in the DC metropolitan region had fewer than 100 employees, focusing on vaccinating only those in larger firms (> or =100 employees) was just as effective in mitigating the epidemic as trying to vaccinate employees in all workplaces.
CONCLUSIONS: Timely vaccination of at least 20% of the large-company workforce can play an important role in epidemic mitigation. Copyright (c) 2010 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 20042311      PMCID: PMC2833347          DOI: 10.1016/j.amepre.2009.11.009

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


  19 in total

1.  Modelling disease outbreaks in realistic urban social networks.

Authors:  Stephen Eubank; Hasan Guclu; V S Anil Kumar; Madhav V Marathe; Aravind Srinivasan; Zoltán Toroczkai; Nan Wang
Journal:  Nature       Date:  2004-05-13       Impact factor: 49.962

2.  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

3.  Population-wide benefits of routine vaccination of children against influenza.

Authors:  Derek Weycker; John Edelsberg; M Elizabeth Halloran; Ira M Longini; Azhar Nizam; Vincent Ciuryla; Gerry Oster
Journal:  Vaccine       Date:  2005-01-26       Impact factor: 3.641

4.  Modeling targeted layered containment of an influenza pandemic in the United States.

Authors:  M Elizabeth Halloran; Neil M Ferguson; Stephen Eubank; Ira M Longini; Derek A T Cummings; Bryan Lewis; Shufu Xu; Christophe Fraser; Anil Vullikanti; Timothy C Germann; Diane Wagener; Richard Beckman; Kai Kadau; Chris Barrett; Catherine A Macken; Donald S Burke; Philip Cooley
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-10       Impact factor: 11.205

5.  Estimating the impact of school closure on influenza transmission from Sentinel data.

Authors:  Simon Cauchemez; Alain-Jacques Valleron; Pierre-Yves Boëlle; Antoine Flahault; Neil M Ferguson
Journal:  Nature       Date:  2008-04-10       Impact factor: 49.962

6.  The transmissibility and control of pandemic influenza A (H1N1) virus.

Authors:  Yang Yang; Jonathan D Sugimoto; M Elizabeth Halloran; Nicole E Basta; Dennis L Chao; Laura Matrajt; Gail Potter; Eben Kenah; Ira M Longini
Journal:  Science       Date:  2009-09-10       Impact factor: 47.728

Review 7.  Vaccines for preventing influenza in healthy children.

Authors:  S Smith; V Demicheli; C Di Pietrantonj; A R Harnden; T Jefferson; N J Matheson; A Rivetti
Journal:  Cochrane Database Syst Rev       Date:  2006-01-25

8.  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

Review 9.  Estimating influenza vaccine efficacy from challenge and community-based study data.

Authors:  Nicole E Basta; M Elizabeth Halloran; Laura Matrajt; Ira M Longini
Journal:  Am J Epidemiol       Date:  2008-10-29       Impact factor: 4.897

10.  Pandemic potential of a strain of influenza A (H1N1): early findings.

Authors:  Christophe Fraser; Christl A Donnelly; Simon Cauchemez; William P Hanage; Maria D Van Kerkhove; T Déirdre Hollingsworth; Jamie Griffin; Rebecca F Baggaley; Helen E Jenkins; Emily J Lyons; Thibaut Jombart; Wes R Hinsley; Nicholas C Grassly; Francois Balloux; Azra C Ghani; Neil M Ferguson; Andrew Rambaut; Oliver G Pybus; Hugo Lopez-Gatell; Celia M Alpuche-Aranda; Ietza Bojorquez Chapela; Ethel Palacios Zavala; Dulce Ma Espejo Guevara; Francesco Checchi; Erika Garcia; Stephane Hugonnet; Cathy Roth
Journal:  Science       Date:  2009-05-11       Impact factor: 47.728

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  48 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

3.  Dynamic simulation of crime perpetration and reporting to examine community intervention strategies.

Authors:  Michael A Yonas; Jessica G Burke; Shawn T Brown; Jeffrey D Borrebach; Richard Garland; Donald S Burke; John J Grefenstette
Journal:  Health Educ Behav       Date:  2013-10

4.  Enhancing dissemination and implementation research using systems science methods.

Authors:  Jessica G Burke; Kristen Hassmiller Lich; Jennifer Watling Neal; Helen I Meissner; Michael Yonas; Patricia L Mabry
Journal:  Int J Behav Med       Date:  2015-06

Review 5.  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 6.  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

7.  A systems approach to vaccine decision making.

Authors:  Bruce Y Lee; Leslie E Mueller; Carla G Tilchin
Journal:  Vaccine       Date:  2016-12-22       Impact factor: 3.641

8.  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

9.  Employer-incurred health care costs and productivity losses associated with influenza.

Authors:  Sudeep Karve; Derek A Misurski; Genevieve Meier; Keith L Davis
Journal:  Hum Vaccin Immunother       Date:  2013-01-15       Impact factor: 3.452

10.  Influenza A (H1N1) 2009: Impact on Frankfurt in due consideration of health care and public health.

Authors:  Sabine Wicker; Holger F Rabenau; Harald Bias; David A Groneberg; René Gottschalk
Journal:  J Occup Med Toxicol       Date:  2010-04-26       Impact factor: 2.646

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