Evidence map›Paper›PMID 32810149›Full record

Observational studyPLoS medicine2020

Evaluation of a city-wide school-located influenza vaccination program in Oakland, California, with respect to vaccination coverage, school absences, and laboratory-confirmed influenza: A matched cohort study.

Jade Benjamin-Chung, Benjamin F Arnold, Chris J Kennedy, Kunal Mishra, Nolan Pokpongkiat, Anna Nguyen, Wendy Jilek, Kate Holbrook, Erica Pan, Pam D Kirley and 4 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PLoS medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Article
  8. Article
  9. Analysis of School-Day Disruption of Administering School-Located Vaccination to Children in Three Local Areas, 2012-2013 School Year.The Journal of school nursing : the official publication of the National Association of School Nurses · 2023
    Article
  10. Article
  11. Influenza.Lancet (London, England) · 2022
    Review
  12. Article
  13. Article
  14. Article
  15. Article
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  17. 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

14 authors at 3 institutions in 1 country.

Jade Benjamin-ChungDivision of Epidemiology and Biostatistics, University of California, Berkeley, Berkeley, California, United States of America.ORCID 0000-0003-3631-3132
Benjamin F ArnoldDivision of Epidemiology and Biostatistics, University of California, Berkeley, Berkeley, California, United States of America.ORCID 0000-0001-6105-7295
Chris J KennedyDivision of Epidemiology and Biostatistics, University of California, Berkeley, Berkeley, California, United States of America.ORCID 0000-0001-7444-2766
Kunal MishraDivision of Epidemiology and Biostatistics, University of California, Berkeley, Berkeley, California, United States of America.ORCID 0000-0001-6672-7913
Nolan PokpongkiatDivision of Epidemiology and Biostatistics, University of California, Berkeley, Berkeley, California, United States of America.ORCID 0000-0002-9901-671X
Anna NguyenDivision of Epidemiology and Biostatistics, University of California, Berkeley, Berkeley, California, United States of America.ORCID 0000-0002-2211-9040
Wendy JilekDivision of Epidemiology and Biostatistics, University of California, Berkeley, Berkeley, California, United States of America.
Kate HolbrookDivision of Communicable Disease Control and Prevention, Alameda County Public Health Department, Oakland, California, United States of America.
Erica PanDivision of Communicable Disease Control and Prevention, Alameda County Public Health Department, Oakland, California, United States of America.ORCID 0000-0001-5118-4389
Pam D KirleyCalifornia Emerging Infections Program, Oakland, California, United States of America.
Tanya LibbyCalifornia Emerging Infections Program, Oakland, California, United States of America.ORCID 0000-0002-8569-9206
Alan E HubbardDivision of Epidemiology and Biostatistics, University of California, Berkeley, Berkeley, California, United States of America.ORCID 0000-0002-3769-0127
Arthur ReingoldDivision of Epidemiology and Biostatistics, University of California, Berkeley, Berkeley, California, United States of America.
John M ColfordDivision of Epidemiology and Biostatistics, University of California, Berkeley, Berkeley, California, United States of America.
University of California, Berkeley · USUniversity of California, San Francisco · USAlameda County Public Health Department · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is estimated that vaccinating 50%-70% of school-aged children for influenza can produce population-wide indirect effects. We evaluated a city-wide school-located influenza vaccination (SLIV) intervention that aimed to increase influenza vaccination coverage. The intervention was implemented in ≥95 preschools and elementary schools in northern California from 2014 to 2018. Using a matched cohort design, we estimated intervention impacts on student influenza vaccination coverage, school absenteeism, and community-wide indirect effects on laboratory-confirmed influenza hospitalizations. METHODS AND

findingsWe used a multivariate matching algorithm to identify a nearby comparison school district with pre-intervention characteristics similar to those of the intervention school district and matched schools in each district. To measure student influenza vaccination, we conducted cross-sectional surveys of student caregivers in 22 school pairs (2017 survey, N = 6,070; 2018 survey, N = 6,507). We estimated the incidence of laboratory-confirmed influenza hospitalization from 2011 to 2018 using surveillance data from school district zip codes. We analyzed student absenteeism data from 2011 to 2018 from each district (N = 42,487,816 student-days). To account for pre-intervention differences between districts, we estimated difference-in-differences (DID) in influenza hospitalization incidence and absenteeism rates using generalized linear and log-linear models with a population offset for incidence outcomes. Prior to the SLIV intervention, the median household income was $51,849 in the intervention site and $61,596 in the comparison site. The population in each site was predominately white (41% in the intervention site, 48% in the comparison site) and/or of Hispanic or Latino ethnicity (26% in the intervention site, 33% in the comparison site). The number of students vaccinated by the SLIV intervention ranged from 7,502 to 10,106 (22%-28% of eligible students) each year. During the intervention, influenza vaccination coverage among elementary students was 53%-66% in the comparison district. Coverage was similar between the intervention and comparison districts in influenza seasons 2014-2015 and 2015-2016 and was significantly higher in the intervention site in seasons 2016-2017 (7%; 95% CI 4, 11; p < 0.001) and 2017-2018 (11%; 95% CI 7, 15; p < 0.001). During seasons when vaccination coverage was higher among intervention schools and the vaccine was moderately effective, there was evidence of statistically significant indirect effects: The DID in the incidence of influenza hospitalization per 100,000 in the intervention versus comparison site was -17 (95% CI -30, -4; p = 0.008) in 2016-2017 and -37 (95% CI -54, -19; p < 0.001) in 2017-2018 among non-elementary-school-aged individuals and -73 (95% CI -147, 1; p = 0.054) in 2016-2017 and -160 (95% CI -267, -53; p = 0.004) in 2017-2018 among adults 65 years or older. The DID in illness-related school absences per 100 school days during the influenza season was -0.63 (95% CI -1.14, -0.13; p = 0.014) in 2016-2017 and -0.80 (95% CI -1.28, -0.31; p = 0.001) in 2017-2018. Limitations of this study include the use of an observational design, which may be subject to unmeasured confounding, and caregiver-reported vaccination status, which is subject to poor recall and low response rates.

conclusionsA city-wide SLIV intervention in a large, diverse urban population was associated with a decrease in the incidence of laboratory-confirmed influenza hospitalization in all age groups and a decrease in illness-specific school absence rate among students in 2016-2017 and 2017-2018, seasons when the vaccine was moderately effective, suggesting that the intervention produced indirect effects. Our findings suggest that in populations with moderately high background levels of influenza vaccination coverage, SLIV programs are associated with further increases in coverage and reduced influenza across the community.

Indexed as

AbsenteeismUrban PopulationAdolescentCaliforniaChildChild, PreschoolCohort StudiesCross-Sectional StudiesFemaleHumansInfluenza, HumanInfluenza VaccinesMaleSchool Health ServicesSchoolsStudentsInfluenza Vaccines

Identifiers

PMID32810149
PMCPMC7433855
OpenAlexW3077886696

What OpenQuestion holds

Textmetadata
LicenceCC0
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.