Evidence map›Paper›PMID 34753823›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Within and between classroom transmission patterns of seasonal influenza among primary school students in Matsumoto city, Japan.

Akira Endo, Mitsuo Uchida, Naoki Hayashi, Yang Liu, Katherine E Atkins, Adam J Kucharski, Sebastian Funk

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
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  5. Uncommon pathogen, common activity:Frontiers in public health · 2026
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  19. Simulating respiratory disease transmission within and between classrooms to assess pandemic management strategies at schools.Proceedings of the National Academy of Sciences of the United States of America · 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

7 authors.

Akira EndoDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, United Kingdom; akira.endo@lshtm.ac.uk.ORCID 0000-0001-6377-7296
Mitsuo UchidaGraduate School of Medicine, Gunma University, Gunma, 371-8511, Japan.ORCID 0000-0002-9928-8897
Naoki HayashiSimulation & Mining Division, NTT DATA Mathematical Systems Inc., Tokyo, 160-0016, Japan.
Yang LiuDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, United Kingdom.
Katherine E AtkinsDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, United Kingdom.ORCID 0000-0001-5250-0558
Adam J KucharskiDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, United Kingdom.
Sebastian FunkDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, United Kingdom.ORCID 0000-0002-2842-3406

Funding

Department of Health 16/137/109Medical Research Council MC_PC_19065Wellcome Trust 206250/Z/17/Z
6 · The paper itself

Abstract

Schools play a central role in the transmission of many respiratory infections. Heterogeneous social contact patterns associated with the social structures of schools (i.e., classes/grades) are likely to influence the within-school transmission dynamics, but data-driven evidence on fine-scale transmission patterns between students has been limited. Using a mathematical model, we analyzed a large-scale dataset of seasonal influenza outbreaks in Matsumoto city, Japan, to infer social interactions within and between classes/grades from observed transmission patterns. While the relative contribution of within-class and within-grade transmissions to the reproduction number varied with the number of classes per grade, the overall within-school reproduction number, which determines the initial growth of cases and the risk of sustained transmission, was only minimally associated with class sizes and the number of classes per grade. This finding suggests that interventions that change the size and number of classes, e.g., splitting classes and staggered attendance, may have a limited effect on the control of school outbreaks. We also found that vaccination and mask-wearing of students were associated with reduced susceptibility (vaccination and mask-wearing) and infectiousness (mask-wearing), and hand washing was associated with increased susceptibility. Our results show how analysis of fine-grained transmission patterns between students can improve understanding of within-school disease dynamics and provide insights into the relative impact of different approaches to outbreak control.

Indexed as

ChildChild, PreschoolCitiesDisease OutbreaksFemaleHumansInfluenza, HumanJapanMaleRespiratory Tract InfectionsSchoolsSeasonsSocial StructureStudentsclass sizeinfluenzamathematical modelschoolsocial network

Identifiers

PMID34753823
PMCPMC8609560

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.