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Reconstructing the household transmission of influenza in the suburbs of Tokyo based on clinical cases
- Source :
- Theoretical Biology and Medical Modelling, Vol 18, Iss 1, Pp 1-10 (2021), Theoretical Biology & Medical Modelling
- Publication Year :
- 2021
- Publisher :
- BMC, 2021.
-
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.
- Subjects :
- 0301 basic medicine
medicine.medical_specialty
Demographics
medicine.drug_class
Health Informatics
lcsh:Computer applications to medicine. Medical informatics
Incubation period
Household transmission
03 medical and health sciences
0302 clinical medicine
Mathematical model
Japan
Influenza, Human
medicine
Humans
030212 general & internal medicine
Tokyo
lcsh:QH301-705.5
Probability
Family Characteristics
Neuraminidase inhibitor
Transmission (medicine)
business.industry
Research
Public health
Stochastic simulation
Infectious period
030112 virology
Influenza
lcsh:Biology (General)
Modeling and Simulation
Secondary attack ratio
lcsh:R858-859.7
business
Demography
Subjects
Details
- Language :
- English
- ISSN :
- 17424682
- Volume :
- 18
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Theoretical Biology and Medical Modelling
- Accession number :
- edsair.doi.dedup.....584edc01c1b79481d4b9c2bd657ea4a9