Evidence map›Paper›PMID 17878136›Full record

ArticleJournal of the Royal Society, Interface2008

Noise, nonlinearity and seasonality: the epidemics of whooping cough revisited.

Hanh T H Nguyen, Pejman Rohani

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–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

32 citing papers in PubMed.

  1. Noisy periodicity in tropical respiratory disease dynamics.medRxiv : the preprint server for health sciences · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Quantifying the consequences of measles-induced immune modulation for whooping cough epidemiology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  8. A Network-Based Compartmental Model For The Spread Of Whooping Cough In Nebraska.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019
    Article
  9. Article
  10. Estimating the distance to an epidemic threshold.Journal of the Royal Society, Interface · 2018
    Article
  11. Evidence of cryptic incidence in childhood diseases.Proceedings. Biological sciences · 2017
    Article
  12. Review
  13. Article
  14. Article
  15. Dynamics of Multi-stage Infections on Networks.Bulletin of mathematical biology · 2015
    Article
  16. Dynamics of Pertussis Transmission in the United States.American journal of epidemiology · 2015
    Article
  17. A century of transitions in New York City's measles dynamics.Journal of the Royal Society, Interface · 2015
    Article
  18. Article
  19. Review
  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

2 authors.

Hanh T H NguyenOdum School of Ecology, University of Georgia, Athens, GA 30602-2202, USA.
Pejman Rohani

Funding

Ecology and Evolution of Disease InterferenceR01GM069111 · NIGMS · UNIVERSITY OF GEORGIA (UGA) · PI ROHANI, PEJMAN · 2004 to 2007
$361k
NIGMS NIH HHS R01 GM069111NIGMS NIH HHS R01GM069111
6 · The paper itself

Abstract

Understanding the mechanisms that generate oscillations in the incidence of childhood infectious diseases has preoccupied epidemiologists and population ecologists for nearly two centuries. This body of work has generated simple yet powerful explanations for the epidemics of measles and chickenpox, while the dynamics of other infectious diseases, such as whooping cough, have proved more challenging to decipher. A number of authors have, in recent years, proposed that the noisy and somewhat irregular epidemics of whooping cough may arise due to stochasticity and its interaction with nonlinearity in transmission and seasonal variation in contact rates. The reason underlying the susceptibility of whooping cough dynamics to noise and the precise nature of its transient dynamics remain poorly understood. Here we use household data on the incubation period in order to parametrize more realistic distributions of the latent and infectious periods. We demonstrate that previously reported phenomena result from transients following the interaction between the stable annual attractor and unstable multiennial solutions.

Indexed as

Models, BiologicalSeasonsHumansPeriodicityTime FactorsWhooping Cough

Identifiers

PMID17878136
PMCPMC2607388

What OpenQuestion holds

Textmetadata
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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.