Evidence map›Paper›PMID 26046930›Full record

ArticleScientific reports2015

Global Spatio-temporal Patterns of Influenza in the Post-pandemic Era.

Daihai He, Roger Lui, Lin Wang, Chi Kong Tse, Lin Yang, Lewi Stone

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Observational
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  15. Understanding the rebound of influenza in the post COVID-19 pandemic period holds important clues for epidemiology and control.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
  16. Article
  17. The adaptation of SARS-CoV-2 to humans.Memorias do Instituto Oswaldo Cruz · 2022
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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

6 authors.

Daihai HeDepartment of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong (SAR) China.
Roger LuiDepartment of Mathematical Sciences, Worcester Polytechnic Institute, 100 Institute Road Worcester, MA 01609, United States.
Lin WangSchool of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong (SAR) China.
Chi Kong TseDepartment of Electronic and Information Engineering, Hong Kong Polytechnic University Hong Kong (SAR) China.
Lin YangSchool of Nursing, Hong Kong Polytechnic University, Hong Kong (SAR) China.
Lewi Stone1] School of Mathematical and Geospatial Sciences, RMIT University, Melbourne, 3000, Australia [2] Department of Zoology, Biomathematics Unit, Tel Aviv University, Ramat Aviv, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We study the global spatio-temporal patterns of influenza dynamics. This is achieved by analysing and modelling weekly laboratory confirmed cases of influenza A and B from 138 countries between January 2006 and January 2015. The data were obtained from FluNet, the surveillance network compiled by the the World Health Organization. We report a pattern of skip-and-resurgence behavior between the years 2011 and 2013 for influenza H1N1pdm, the strain responsible for the 2009 pandemic, in Europe and Eastern Asia. In particular, the expected H1N1pdm epidemic outbreak in 2011/12 failed to occur (or "skipped") in many countries across the globe, although an outbreak occurred in the following year. We also report a pattern of well-synchronized wave of H1N1pdm in early 2011 in the Northern Hemisphere countries, and a pattern of replacement of strain H1N1pre by H1N1pdm between the 2009 and 2012 influenza seasons. Using both a statistical and a mechanistic mathematical model, and through fitting the data of 108 countries, we discuss the mechanisms that are likely to generate these events taking into account the role of multi-strain dynamics. A basic understanding of these patterns has important public health implications and scientific significance.

Indexed as

Influenza A Virus, H1N1 SubtypeInfluenza A Virus, H3N2 SubtypeHumansInfluenza, HumanModels, StatisticalPandemicsSeasons

Identifiers

PMID26046930
PMCPMC4457022

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Registered trials

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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.