Evidence map›Paper›PMID 35212157›Full record

ArticleInfluenza and other respiratory viruses2022

Global patterns of seasonal influenza activity, duration of activity and virus (sub)type circulation from 2010 to 2020.

Patrizio Zanobini, Guglielmo Bonaccorsi, Chiara Lorini, Mendel Haag, Ian McGovern, John Paget, Saverio Caini

Abstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

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

  1. Pooled it
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  3. Global influenza epidemiology after 2020: patterns of circulation, epidemic timing and duration, and implications for vaccination strategies.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026
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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

7 authors.

Patrizio ZanobiniDepartment of Health Sciences, University of Florence, Florence, Italy.
Guglielmo BonaccorsiDepartment of Health Sciences, University of Florence, Florence, Italy.ORCID 0000-0002-5171-4308
Chiara LoriniDepartment of Health Sciences, University of Florence, Florence, Italy.
Mendel HaagCenter for Outcomes Research and Epidemiology, Seqirus NL BV, Amsterdam, The Netherlands.
Ian McGovernCenter for Outcomes Research and Epidemiology, Seqirus Inc, Cambridge, Massachusetts, USA.ORCID 0000-0002-0282-7728
John PagetNetherlands Institute for Health Services Research (NIVEL), Utrecht, The Netherlands.ORCID 0000-0002-1503-2481
Saverio CainiNetherlands Institute for Health Services Research (NIVEL), Utrecht, The Netherlands.ORCID 0000-0002-2262-1102

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeasonal influenza viruses undergo unpredictable changes, which may lead to antigenic mismatch between circulating and vaccine strains and to a reduced vaccine effectiveness. A continuously updated knowledge of influenza strain circulation and seasonality is essential to optimize the effectiveness of influenza vaccination campaigns. We described the global epidemiology of influenza between the 2009 A(H1N1)p and the 2020 COVID-19 pandemic.

methodsInfluenza virological surveillance data were obtained from the WHO-FluNet database. We determined the median proportion of influenza cases caused by the different influenza virus types, subtypes, and lineages; the typical timing of the epidemic peak; and the median duration of influenza epidemics (applying the annual average percentage method with a 75% threshold).

resultsWe included over 4.6 million influenza cases from 149 countries. The median proportion of influenza cases caused by type A viruses was 75.5%, highest in the Southern hemisphere (81.6%) and lowest in the intertropical belt (73.0%), and ranged across seasons between 60.9% in 2017 and 88.7% in 2018. Epidemic peaks typically occurred during winter months in Northern and Southern hemisphere countries, while much more variability emerged in tropical countries. Influenza epidemics lasted a median of 25 weeks (range 8-42) in countries lying between 30°N and 26°S, and a median of 9 weeks (range 5-25) in countries outside this latitude range.

conclusionsThis work will establish an important baseline to better understand factors that influence seasonal influenza dynamics and how COVID-19 may have affected seasonal activity and influenza virus types, subtypes, and lineages circulation patterns.

Indexed as

COVID-19Influenza A virusInfluenza A Virus, H1N1 SubtypeInfluenza, HumanInfluenza VaccinesHumansPandemicsSeasonsInfluenza Vaccinesduration of epidemicsinfluenzainfluenza virus circulationinfluenza virus type, subtype, and lineageseasonal influenzatiming of epidemic peak

Identifiers

PMID35212157
PMCPMC9178051

What OpenQuestion holds

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LicenceCC BY
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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.