Evidence map›Paper›PMID 22958213›Full record

ReviewClinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases2012

Deviations in influenza seasonality: odd coincidence or obscure consequence?

M Moorthy, D Castronovo, A Abraham, S Bhattacharyya, S Gradus, J Gorski, Y N Naumov, N H Fefferman, E N Naumova

Abstract readReview
In one paragraph

Review in Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Global seasonal and pandemic patterns in influenza: An application of longitudinal study designs.International statistical review = Revue internationale de statistique · 2022
    Article
  5. Article
  6. Signatures of Cholera Outbreak during the Yemeni Civil War, 2016-2019.International journal of environmental research and public health · 2021
    Article
  7. Article
  8. Article
  9. Review
  10. The burden of influenza in older adults: meeting the challenge.Aging clinical and experimental research · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Assessing Seasonality Variation with Harmonic Regression: Accommodations for Sharp Peaks.International journal of environmental research and public health · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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.

M MoorthyDepartment of Clinical Virology, Christian Medical College, Vellore, India.
D Castronovo
A Abraham
S Bhattacharyya
S Gradus
J Gorski
Y N Naumov
N H Fefferman
E N Naumova

Funding

Viral Vector CoreU19AI062627 · NIAID · VERSITI WISCONSIN, INC. · PI GORSKI, JACK A · 2004 to 2008
$11.6M
IMMUNE FUNCTION AND BIODEFENSE IN CHILDREN. ELDERLY AND IMMUNOCOMPROMI-266050032N01AI050032 · NIAID · BLOODCENTER OF WISCONSIN. INC · PI GORSKI, JACK · 2006 to 2006
–
NIAID NIH HHS N01 AI050032NIAID NIH HHS U19 AI062627PHS HHS N01-A150032
6 · The paper itself

Abstract

In temperate regions, influenza typically arrives with the onset of colder weather. Seasonal waves travel over large spaces covering many climatic zones in a relatively short period of time. The precise mechanism for this striking seasonal pattern is still not well understood, and the interplay of factors that influence the spread of infection and the emergence of new strains is largely unknown. The study of influenza seasonality has been fraught with problems. One of these is the ever-shifting description of illness resulting from influenza and the use of both the historical definitions and new definitions based on actual isolation of the virus. The compilation of records describing influenza oscillations on a local and global scale is massive, but the value of these data is a function of the definitions used. In this review, we argue that observations of both seasonality and deviation from the expected pattern stem from the nature of this disease. Heterogeneity in seasonal patterns may arise from differences in the behaviour of specific strains, the emergence of a novel strain, or cross-protection from previously observed strains. Most likely, the seasonal patterns emerge from interactions of individual factors behaving as coupled resonators. We emphasize that both seasonality and deviations from it may merely be reflections of our inability to disentangle signal from noise, because of ambiguity in measurement and/or terminology. We conclude the review with suggestions for new promising and realistic directions with tangible consequences for the modelling of complex influenza dynamics in order to effectively control infection.

Indexed as

SeasonsHumansInfluenza, HumanSeverity of Illness Index

Identifiers

PMID22958213
PMCPMC3442949

What OpenQuestion holds

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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.