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 and Sebastian Funk
Additional contact information
Akira Endo: a Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, United Kingdom;; b The Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, United Kingdom;; c The Alan Turing Institute, London, NW1 2DB, United Kingdom;; d School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, 852-8523, Japan;; e Japan Society for the Promotion of Science, Tokyo, 102-0083, Japan;
Mitsuo Uchida: f Graduate School of Medicine, Gunma University, Gunma, 371-8511, Japan;
Naoki Hayashi: g Simulation & Mining Division, NTT DATA Mathematical Systems Inc., Tokyo, 160-0016, Japan;; h Department of Mathematical and Computing Science, School of Computing, Tokyo Institute of Technology, Tokyo, 152-8552, Japan;
Yang Liu: a Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, United Kingdom;; b The Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, United Kingdom;
Katherine E. Atkins: a Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, United Kingdom;; b The Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, United Kingdom;; i Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, EH16 4UX, United Kingdom
Adam J. Kucharski: a Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, United Kingdom;; b The Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, United Kingdom;
Sebastian Funk: a Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, United Kingdom;; b The Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, United Kingdom;

Proceedings of the National Academy of Sciences, 2021, vol. 118, issue 46, e2112605118

Abstract: Empirical evidence on detailed transmission patterns of influenza among students within and between classes and grades and how they are shaped by school population structure (e.g., class and school sizes) has been limited to date. We analyzed a detailed dataset of seasonal influenza incidence in 29 primary schools in Japan and found that the reproduction number at school did not show any clear association with the size or the number of classes. Our findings suggest that the interventions that only focus on reducing the number of students in class at any moment in time (e.g., reduced class sizes and staggered attendance) may not be as effective as measures that aim to reduce within-class risk (e.g., mask-wearing and vaccines).

Keywords: influenza; school; mathematical model; class size; social network (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.pnas.org/content/118/46/e2112605118.full (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nas:journl:v:118:y:2021:p:e2112605118

Access Statistics for this article

More articles in Proceedings of the National Academy of Sciences from Proceedings of the National Academy of Sciences
Bibliographic data for series maintained by PNAS Product Team ().