Evidence map›Paper›PMID 20042311›Full record

ArticleAmerican journal of preventive medicine2010

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

Bruce Y Lee, 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 and 1 more

Open access · greenAbstract read
In one paragraph

Article in American journal of preventive medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

54 citing papers in PubMed, 109 citations in OpenAlex.

  1. Influenza disease burden investigation and cost-effectiveness analysis based on system dynamics model.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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  9. Predicting the second wave of COVID-19 in Washtenaw County, MI.medRxiv : the preprint server for health sciences · 2020
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  19. A systems approach to obesity.Nutrition reviews · 2017
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Bruce Y LeeUniversity of Pittsburgh, 200 Meyran Avenue, Pittsburgh, PA 15213, USA. BYL1@pitt.edu
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
University of Pittsburgh · USRTI International · USPittsburgh Supercomputing Center · US

Funding

Training, Outreach & Diversity ComponentU54GM088491 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BURKE, DONALD SCOTT · 2009 to 2018
$16.7M
NIGMS NIH HHS 1U54 GM 088491-0109NIGMS NIH HHS U54 GM088491
6 · The paper itself

Abstract

backgroundBetter 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.

methodsAs 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.

resultsAn 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.

conclusionsTimely vaccination of at least 20% of the large-company workforce can play an important role in epidemic mitigation.

Indexed as

Influenza A Virus, H1N1 SubtypeComputer SimulationDisease OutbreaksDistrict of ColumbiaEfficiencyHumansInfluenza, HumanInfluenza VaccinesMass VaccinationOccupational HealthOccupational Health ServicesTime FactorsUnited StatesWorkplaceInfluenza Vaccines

Identifiers

PMID20042311
PMCPMC2833347
OpenAlexW2088610686

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.