Evidence map›Paper›PMID 25928152›Full record

ArticleBMC public health2015

The role of vaccination coverage, individual behaviors, and the public health response in the control of measles epidemics: an agent-based simulation for California.

Fengchen Liu, Wayne T A Enanoria, Jennifer Zipprich, Seth Blumberg, Kathleen Harriman, Sarah F Ackley, William D Wheaton, Justine L Allpress, Travis C Porco

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
5.5field-weighted citation impact, top 4% 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 94 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  7. Are all underimmunized measles clusters equally critical?medRxiv : the preprint server for health sciences · 2023
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  12. Impact of Low Rates of Influenza on Next-Season Influenza Infections.American journal of preventive medicine · 2022
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  18. Contact tracing - Old models and new challenges.Infectious Disease Modelling · 2021
    Article
  19. Planning as Inference in Epidemiological Dynamics Models.Frontiers in artificial intelligence · 2021
    Article
  20. Article
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

9 authors at 4 institutions in 1 country.

Fengchen LiuFrancis I. Proctor Foundation, University of California, San Francisco, CA, USA. fengchen.liu@ucsf.edu.
Wayne T A EnanoriaDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA. wayne.enanoria@ucsf.edu.
Jennifer ZipprichCalifornia Department of Public Health, Immunization Branch, Richmond, CA, USA. jennifer.zipprich@cdph.ca.gov.
Seth BlumbergFrancis I. Proctor Foundation, University of California, San Francisco, CA, USA. blumberg.seth@gmail.com.
Kathleen HarrimanCalifornia Department of Public Health, Immunization Branch, Richmond, CA, USA. kathleen.harriman@cdph.ca.gov.
Sarah F AckleyFrancis I. Proctor Foundation, University of California, San Francisco, CA, USA. sarah.ackley@ucsf.edu.
William D WheatonRTI Research Triangle Institute International, San Francisco, CA, USA. wdw@rti.org.
Justine L AllpressRTI Research Triangle Institute International, San Francisco, CA, USA. jla@rti.org.
Travis C PorcoFrancis I. Proctor Foundation, University of California, San Francisco, CA, USA. travis.porco@ucsf.edu.
University of California, San Francisco · USCalifornia Department of Public Health · USRTI International · USSan Francisco Foundation · US

Funding

"Modeling contact investigation and rapid response"U01GM087728 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PORCO, TRAVIS CHRISTIAN · 2011 to 2015
$2.2M
NIGMS NIH HHS U01 GM087728NIGMS NIH HHS U01GM087728
6 · The paper itself

Abstract

backgroundMeasles cases continue to occur among susceptible individuals despite the elimination of endemic measles transmission in the United States. Clustering of disease susceptibility can threaten herd immunity and impact the likelihood of disease outbreaks in a highly vaccinated population. Previous studies have examined the role of contact tracing to control infectious diseases among clustered populations, but have not explicitly modeled the public health response using an agent-based model.

methodsWe developed an agent-based simulation model of measles transmission using the Framework for Reconstructing Epidemiological Dynamics (FRED) and the Synthetic Population Database maintained by RTI International. The simulation of measles transmission was based on interactions among individuals in different places: households, schools, daycares, workplaces, and neighborhoods. The model simulated different levels of immunity clustering, vaccination coverage, and contact investigations with delays caused by individuals' behaviors and/or the delay in a health department's response. We examined the effects of these characteristics on the probability of uncontrolled measles outbreaks and the outbreak size in 365 days after the introduction of one index case into a synthetic population.

resultsWe found that large measles outbreaks can be prevented with contact investigations and moderate contact rates by having (1) a very high vaccination coverage (≥ 95%) with a moderate to low level of immunity clustering (≤ 0.5) for individuals aged less than or equal to 18 years, or (2) a moderate vaccination coverage (85% or 90%) with no immunity clustering for individuals (≤ 18 years of age), a short intervention delay, and a high probability that a contact can be traced. Without contact investigations, measles outbreaks may be prevented by the highest vaccination coverage with no immunity clustering for individuals (≤ 18 years of age) with moderate contact rates; but for the highest contact rates, even the highest coverage with no immunity clustering for individuals (≤ 18 years of age) cannot completely prevent measles outbreaks.

conclusionsThe simulation results demonstrated the importance of vaccination coverage, clustering of immunity, and contact investigations in preventing uncontrolled measles outbreaks.

Indexed as

Immunization ScheduleAdolescentAdultCaliforniaChildDisease OutbreaksDisease SusceptibilityEpidemicsFemaleHumansMaleMeaslesMeasles VaccineMiddle AgedModels, TheoreticalPublic HealthMeasles Vaccine

Identifiers

PMID25928152
PMCPMC4438575
OpenAlexW2030378217

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.