Evidence map›Paper›PMID 33568160›Full record

ArticleTheoretical biology & medical modelling2021

Reconstructing the household transmission of influenza in the suburbs of Tokyo based on clinical cases.

Masaya M Saito, Nobuo Hirotsu, Hiroka Hamada, Mio Takei, Keisuke Honda, Takamichi Baba, Takahiro Hasegawa, Yoshitake Kitanishi

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Article in Theoretical biology & medical modelling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Masaya M SaitoUniversity of Nagasaki Siebold, Nagasaki, Japan. saitohm@sun.ac.jp.ORCID 0000-0002-4840-6515
Nobuo HirotsuHirotsu Clinic, Kawasaki, Japan.
Hiroka HamadaThe Institute of Statistical Mathematics, Tokyo, Japan.
Mio TakeiThe Institute of Statistical Mathematics, Tokyo, Japan.
Keisuke HondaThe Institute of Statistical Mathematics, Tokyo, Japan.
Takamichi BabaShionogi & Co., Ltd., Osaka, Japan.
Takahiro HasegawaShionogi & Co., Ltd., Osaka, Japan.
Yoshitake KitanishiShionogi & Co., Ltd., Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfluenza is a public health issue that needs to be addressed strategically. The assessment of detailed infectious profiles is an important part of this effort. Household transmission data play a key role in estimating such profiles. We used diagnostic and questionnaire-based data on influenza patients at a Japanese clinic to estimate the detailed infectious period (as well as incubation period, symptomatic and infectious periods, and extended infectious period after recovery) and the secondary attack ratio (SAR) of influenza for households of various sizes based on a modified Cauchemez-type model.

resultsThe data were from enrolled patients with confirmed influenza who were treated at the Hirotsu Clinic (Kawasaki, Japan) with a neuraminidase inhibitor (NAI) during six northern hemisphere influenza seasons between 2010 and 2016. A total of 2342 outpatients, representing 1807 households, were included. For influenza type A, the average incubation period was 1.43 days (95% probability interval, 0.03-5.32 days). The estimated average symptomatic and infective period was 1.76 days (0.33-4.62 days); the extended infective period after recovery was 0.25 days. The estimated SAR rose from 20 to 32% as household size increased from 3 to 5. For influenza type B, the average incubation period, average symptomatic and infective period, and extended infective period were estimated as 1.66 days (0.21-4.61), 2.62 days (0.54-5.75) and 1.00 days, respectively. The SAR increased from 12 to 21% as household size increased from 3 to 5.

conclusionAll estimated periods of influenza type B were longer than the corresponding periods for type A. However, the SAR for type B was less than that for type A. These results may reflect Japanese demographics and treatment policy. Understanding the infectious profiles of influenza is necessary for assessing public health measures.

Indexed as

Influenza, HumanFamily CharacteristicsHumansJapanProbabilityTokyoHousehold transmissionInfectious periodInfluenzaMathematical modelSecondary attack ratioStochastic simulation

Identifiers

PMID33568160
PMCPMC7873673

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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.