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

BACKGROUND: Influenza 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 inf...

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Autores principales: Saito, Masaya M., Hirotsu, Nobuo, Hamada, Hiroka, Takei, Mio, Honda, Keisuke, Baba, Takamichi, Hasegawa, Takahiro, Kitanishi, Yoshitake
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873673/
https://www.ncbi.nlm.nih.gov/pubmed/33568160
http://dx.doi.org/10.1186/s12976-021-00138-x
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author Saito, Masaya M.
Hirotsu, Nobuo
Hamada, Hiroka
Takei, Mio
Honda, Keisuke
Baba, Takamichi
Hasegawa, Takahiro
Kitanishi, Yoshitake
author_facet Saito, Masaya M.
Hirotsu, Nobuo
Hamada, Hiroka
Takei, Mio
Honda, Keisuke
Baba, Takamichi
Hasegawa, Takahiro
Kitanishi, Yoshitake
author_sort Saito, Masaya M.
collection PubMed
description BACKGROUND: Influenza 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. RESULTS: The 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. CONCLUSION: All 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.
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spelling pubmed-78736732021-02-10 Reconstructing the household transmission of influenza in the suburbs of Tokyo based on clinical cases Saito, Masaya M. Hirotsu, Nobuo Hamada, Hiroka Takei, Mio Honda, Keisuke Baba, Takamichi Hasegawa, Takahiro Kitanishi, Yoshitake Theor Biol Med Model Research BACKGROUND: Influenza 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. RESULTS: The 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. CONCLUSION: All 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. BioMed Central 2021-02-10 /pmc/articles/PMC7873673/ /pubmed/33568160 http://dx.doi.org/10.1186/s12976-021-00138-x Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Saito, Masaya M.
Hirotsu, Nobuo
Hamada, Hiroka
Takei, Mio
Honda, Keisuke
Baba, Takamichi
Hasegawa, Takahiro
Kitanishi, Yoshitake
Reconstructing the household transmission of influenza in the suburbs of Tokyo based on clinical cases
title Reconstructing the household transmission of influenza in the suburbs of Tokyo based on clinical cases
title_full Reconstructing the household transmission of influenza in the suburbs of Tokyo based on clinical cases
title_fullStr Reconstructing the household transmission of influenza in the suburbs of Tokyo based on clinical cases
title_full_unstemmed Reconstructing the household transmission of influenza in the suburbs of Tokyo based on clinical cases
title_short Reconstructing the household transmission of influenza in the suburbs of Tokyo based on clinical cases
title_sort reconstructing the household transmission of influenza in the suburbs of tokyo based on clinical cases
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873673/
https://www.ncbi.nlm.nih.gov/pubmed/33568160
http://dx.doi.org/10.1186/s12976-021-00138-x
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