Evidence map›Paper›PMID 35305778›Full record

ArticleAmerican journal of preventive medicine2022

Impact of Low Rates of Influenza on Next-Season Influenza Infections.

Mary G Krauland, David D Galloway, Jonathan M Raviotta, Richard K Zimmerman, Mark S Roberts

Open access · hybridAbstract read
In one paragraph

Article in American journal of preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
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

16 citing papers in PubMed, 27 citations in OpenAlex.

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  3. Observational
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  14. National Influenza Annual Report, Canada, 2021-2022: A brief, late influenza epidemic.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2022
    Article
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  16. 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

5 authors at 1 institution in 2 countries.

Mary G KraulandDepartment of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania; Public Health Dynamics Laboratory, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania. Electronic address: mgk8@pitt.edu.
David D GallowayPublic Health Dynamics Laboratory, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
Jonathan M RaviottaDepartment of Family Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Richard K ZimmermanDepartment of Family Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Mark S RobertsDepartment of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania; Public Health Dynamics Laboratory, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
University of Pittsburgh · US

Funding

RFA-IP20-003: Individual-based Simulation of Seasonal and Pandemic Influenza Epidemics - supplement Emergency Response to the COVID-19 PandemicU01IP001141 · IP · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROBERTS, MARK STENIUS · 2020 to 2024
$3.4M
ACL HHS U01IP001141NCIRD CDC HHS U01 IP001141
6 · The paper itself

Abstract

introductionInterventions to curb the spread of COVID-19 during the 2020-2021 influenza season essentially eliminated influenza during that season. Given waning antibody titers over time, future residual population immunity against influenza will be reduced. The implication for the subsequent 2021-2022 influenza season is unknown.

methodsAn agent-based model of influenza implemented in the Framework for Reconstructing Epidemiological Dynamics simulation platform was used to estimate cases and hospitalizations over 2 successive influenza seasons. The impact of reduced residual immunity owing to protective measures in the first season was estimated over varying levels of similarity (cross-immunity) between influenza strains over the seasons.

resultsWhen cross-immunity between first- and second-season strains was low, a decreased first season had limited impact on second-season cases. High levels of cross-immunity resulted in a greater impact on the second season. This impact was modified by the transmissibility of strains in the 2 seasons. The model estimated a possible increase of 13.52%-46.95% in cases relative to that in a normal season when strains have the same transmissibility and 40%-50% cross-immunity in a season after a very low one.

conclusionsGiven the light 2020-2021 influenza season, cases may increase by as much as 50% in 2021-2022, although the increase could be much less, depending on cross-immunity from past infection and transmissibility of strains. Enhanced vaccine coverage or continued interventions to reduce transmission could reduce this high season. Young children may have a higher risk in 2021-2022 owing to limited exposure to infection in the previous year.

Indexed as

COVID-19Influenza, HumanInfluenza VaccinesChildChild, PreschoolHospitalizationHumansSeasonsInfluenza Vaccines

Identifiers

PMID35305778
PMCPMC8866158
OpenAlexW4213431419

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.