Evidence map›Paper›PMID 22300798›Full record

ArticleJournal of theoretical biology2012

Economic analysis of the use of facemasks during pandemic (H1N1) 2009.

Samantha M Tracht, Sara Y Del Valle, Brian K Edwards

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 6 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

15 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Article
  8. Article
  9. Review
  10. Effectiveness of Face Masks in Reducing the Spread of COVID-19: A Model-Based Analysis.Medical decision making : an international journal of the Society for Medical Decision Making · 2021
    Article
  11. Article
  12. Costs and benefits of interventions aimed at major infectious disease threats: lessons from the literature.The European journal of health economics : HEPAC : health economics in prevention and care · 2020
    Review
  13. Review
  14. Article
  15. 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

3 authors.

Samantha M TrachtEnergy & Infrastructure Analysis Group, Decisions Applications Division, Los Alamos National Laboratory, Los Alamos, NM, USA. samantha.tracht@gmail.com
Sara Y Del Valle
Brian K Edwards

Funding

Quantifying Model Uncertainty for Forecasting the Spread of Infectious DiseasesU01GM097658 · NIGMS · LOS ALAMOS NAT SECTY-LOS ALAMOS NAT LAB · PI DEL VALLE, SARA · 2011 to 2015
$3.3M
NIGMS NIH HHS U01 GM097658NIGMS NIH HHS U01-GM097658-01
6 · The paper itself

Abstract

A large-scale pandemic could cause severe health, social, and economic impacts. The recent 2009 H1N1 pandemic confirmed the need for mitigation strategies that are cost-effective and easy to implement. Typically, in the early stages of a pandemic, as seen with pandemic (H1N1) 2009, vaccines and antivirals may be limited or non-existent, resulting in the need for non-pharmaceutical strategies to reduce the spread of disease and the economic impact. We construct and analyze a mathematical model for a population comprised of three different age groups and assume that some individuals wear facemasks. We then quantify the impact facemasks could have had on the spread of pandemic (H1N1) 2009 and examine their cost effectiveness. Our analyses show that an unmitigated pandemic could result in losses of nearly $832 billion in the United States during the length of the pandemic. Based on present value of future earnings, hospital costs, and lost income estimates due to illness, this study estimates that the use of facemasks by 10%, 25%, and 50% of the population could reduce economic losses by $478 billion, $570 billion, and $573 billion, respectively. The results show that facemasks can significantly reduce the number of influenza cases as well as the economic losses due to a pandemic.

Indexed as

Influenza A Virus, H1N1 SubtypeModels, EconometricAdolescentAdultAgedAge DistributionChildChild, PreschoolCost-Benefit AnalysisCost of IllnessHospitalizationHumansInfantInfluenza, HumanMasksMiddle Aged

Identifiers

PMID22300798
PMCPMC3307882

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.