Evidence map›Paper›PMID 37768170›Full record

ArticleThe Journal of infectious diseases2024

Estimating the Burden of Influenza Hospitalizations Across Multiple Seasons Using Capture-Recapture.

Amanda C Howa, Yuwei Zhu, Dayna Wyatt, Tiffanie Markus, James D Chappell, Natasha Halasa, Christopher H Trabue, Samantha M Olson, Jill Ferdinands, Shikha Garg and 3 more

Open access · greenAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 3 institutions in 1 country.

Amanda C HowaDepartment of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0003-4160-5439
Yuwei ZhuDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Dayna WyattDepartment of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Tiffanie MarkusDepartment of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
James D ChappellDepartment of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Natasha HalasaDepartment of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Christopher H TrabueDepartment of Medicine, University of Tennessee College of Medicine, Nashville, Tennessee, USA.
Samantha M OlsonInfluenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Jill FerdinandsInfluenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Shikha GargInfluenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
William SchaffnerDepartment of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Carlos G GrijalvaDepartment of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
H Keipp TalbotDepartment of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Vanderbilt University Medical Center · USCenters for Disease Control and Prevention · USUniversity of Tennessee at Knoxville · US

Funding

Mentoring in transmission of influenza and strategies for preventionK24AI148459 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GRIJALVA, CARLOS G · 2020 to 2024
$893k
NCATS NIH HHSNIAID NIH HHS K24 AI148459
6 · The paper itself

Abstract

backgroundInfluenza remains an important cause of hospitalizations in the United States. Estimating the number of influenza hospitalizations is vital for public health decision making. Combining existing surveillance systems through capture-recapture methods allows for more comprehensive burden estimations.

methodsData from independent surveillance systems were combined using capture-recapture methods to estimate influenza hospitalization rates for children and adults in Middle Tennessee during consecutive influenza seasons from 2016-2017 through 2019-2020. The Emerging Infections Program (EIP) identified cases through surveillance of laboratory results for hospitalized children and adults. The Hospitalized Adult Influenza Vaccine Effectiveness Network (HAIVEN) and New Vaccine Surveillance Network (NVSN) recruited hospitalized patients with respiratory symptoms or fever. Population-based influenza rates and the proportion of cases detected by each surveillance system were calculated.

resultsEstimated overall influenza hospitalization rates ranged from 23 influenza-related hospitalizations per 10 000 persons in 2016-2017 to 40 per 10 000 persons in 2017-2018. Adults aged ≥65 years had the highest hospitalization rates across seasons and experienced a rate of 170 hospitalizations per 10 000 persons during the 2017-2018 season. EIP consistently identified a higher proportion of influenza cases for adults and children compared with HAIVEN and NVSN, respectively.

conclusionsCurrent surveillance systems underestimate the influenza burden. Capture-recapture provides an alternative approach to use data from independent surveillance systems and complement population-based burden estimates.

Indexed as

HospitalizationInfluenza, HumanSeasonsAdolescentAdultAgedAged, 80 and overChildChild, PreschoolCost of IllnessFemaleHumansInfantInfant, NewbornMaleMiddle Agedcapture-recapturehospitalizationsinfluenza

Identifiers

PMID37768170
PMCPMC11175696
OpenAlexW4387114591

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.