Evidence map›Paper›PMID 24328646›Full record

ArticleAmerican journal of public health2014

Unraveling R0: considerations for public health applications.

Benjamin Ridenhour, Jessica M Kowalik, David K Shay

Abstract read
In one paragraph

Article in American journal of public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 4 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

83 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. The COVID-19 pandemic: considerations for resuming normal colorectal services.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2020
    Guideline
  4. Estimate of the Basic Reproduction Number for COVID-19: A Systematic Review and Meta-analysis.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2020
    Pooled it
  5. Article
  6. Data assimilation for estimating time-varying reproduction numbers.Journal of the Royal Society, Interface · 2025
    Article
  7. Article
  8. Article
  9. Bayesian phylodynamic inference of population dynamics with dormancy.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Estimates of early outbreak-specific SARS-CoV-2 epidemiological parameters from genomic data.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Article
  16. Herd immunity, vaccination and moral obligation.Journal of medical ethics · 2023
    Article
  17. Review
  18. Article
  19. Review
  20. Article

23 more citing papers are in PubMed but not listed here.

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.

Benjamin RidenhourAt the time of this study, Benjamin Ridenhour and Jessica M. Kowalik were with the Eck Institute for Global Health, University of Notre Dame, Notre Dame, IN. David K. Shay was with the Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA.
Jessica M Kowalik
David K Shay

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We assessed public health use of R0, the basic reproduction number, which estimates the speed at which a disease is capable of spreading in a population. These estimates are of great public health interest, as evidenced during the 2009 influenza A (H1N1) virus pandemic. We reviewed methods commonly used to estimate R0, examined their practical utility, and assessed how estimates of this epidemiological parameter can inform mitigation strategy decisions. In isolation, R0 is a suboptimal gauge of infectious disease dynamics across populations; other disease parameters may provide more useful information. Nonetheless, estimation of R0 for a particular population is useful for understanding transmission in the study population. Considered in the context of other epidemiologically important parameters, the value of R0 may lie in better understanding an outbreak and in preparing a public health response.

Indexed as

Epidemiologic MethodsModels, StatisticalBasic Reproduction NumberDisease OutbreaksHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanPandemicsPublic HealthTime Factors

Identifiers

PMID24328646
PMCPMC3935673

What OpenQuestion holds

Textmetadata
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.