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Estimation of the Serial Interval of Influenza

Open access
Cowling, Benjamin J., Fang, Vicky J., Riley, Steven, Malik Peiris, J S., Leung, Gabriel M.·2009·Epidemiology

Abstract

BACKGROUND: : Estimates of the clinical-onset serial interval of human influenza infection (time between onset of symptoms in an index case and a secondary case) are used to inform public health policy and to construct mathematical models of influenza transmission. We estimate the serial interval of laboratory-confirmed influenza transmission in households. METHODS: : Index cases were recruited after reporting to a primary healthcare center with symptoms. Members of their households were followed-up with repeated home visits. RESULTS: : Assuming a Weibull model and accounting for selection bias inherent in our field study design, we used symptom-onset times from 14 pairs of infector/infectee to estimate a mean serial interval of 3.6 days (95% confidence interval = 2.9-4.3 days), with standard deviation 1.6 days. CONCLUSION: : The household serial interval of influenza may be longer than previously estimated. Studies of the complete serial interval, based on transmission in all community contexts, are a priority.

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Metadata

Authors
Cowling, B. J., Fang, V. J., Riley, S., Malik Peiris, J. S., & Leung, G. M.
Venue
Epidemiology
Published
2009-05
Volume
20
Issue
3
Pages
344-347
ISSN
1044-3983 (ISSN-L)
OpenAlex
W2057061569
Cited by
205
References
2
FWCI
10.69
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Estimation of the Serial Interval of Influenza. https://app.cochat.ai/papers/10.1097/ede.0b013e31819d1092
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Cowling, B. J., Fang, V. J., Riley, S., Malik Peiris, J. S., & Leung, G. M. (2009). Estimation of the Serial Interval of Influenza. Epidemiology. https://doi.org/10.1097/ede.0b013e31819d1092

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