Evidence map›Paper›PMID 21339828›Full record

ArticleEpidemics2011

Economic and social impact of influenza mitigation strategies by demographic class.

Chris Barrett, Keith Bisset, Jonathan Leidig, Achla Marathe, Madhav Marathe

Abstract read
In one paragraph

Article in Epidemics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Agent-Based Computational Epidemiological Modeling.Journal of the Indian Institute of Science · 2021
    Review
  7. Observational
  8. The Prediction of Infectious Diseases: A Bibliometric Analysis.International journal of environmental research and public health · 2020
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Discovery of under immunized spatial clusters using network scan statistics.BMC medical informatics and decision making · 2019
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

5 authors.

Chris BarrettNetwork Dynamics and Simulation Science Laboratory, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, 24061, USA. cbarrett@vbi.vt.edu
Keith Bisset
Jonathan Leidig
Achla Marathe
Madhav Marathe

Funding

Synthetic Information Systems for Better Informing Public Health PolicymakersU01GM070694 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI EUBANK, STEPHEN G, MARATHE, MADHAV VISHNU · 2004 to 2016
$8.6M
NIGMS NIH HHS GM070694-05/06NIGMS NIH HHS U01 GM070694PHS HHS 2506055-01
6 · The paper itself

Abstract

backgroundWe aim to determine the economic and social impact of typical interventions proposed by the public health officials and preventive behavioral changes adopted by the private citizens in the event of a "flu-like" epidemic.

methodWe apply an individual-based simulation model to the New River Valley area of Virginia for addressing this critical problem. The economic costs include not only the loss in productivity due to sickness but also the indirect cost incurred through disease avoidance and caring for dependents.

resultsThe results show that the most important factor responsible for preventing income loss is the modification of individual behavior; it drops the total income loss by 62% compared to the base case. The next most important factor is the closure of schools which reduces the total income loss by another 40%.

conclusionsThe preventive behavior of the private citizens is the most important factor in controlling the epidemic.

Indexed as

Health BehaviorSocial ClassAdolescentAgedAntiviral AgentsChildChild, PreschoolCommunicable Disease ControlComputer SimulationDisease OutbreaksHumansInfantInfant, NewbornInfluenza, HumanMiddle AgedModels, BiologicalAntiviral AgentsAntiviral DistributionComputational EpidemiologyDemographicsIntervention Strategies

Identifiers

PMID21339828
PMCPMC3039122

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.