Literature DB >> 19279492

Estimation of the serial interval of influenza.

Benjamin J Cowling1, Vicky J Fang, Steven Riley, J S Malik Peiris, Gabriel M Leung.   

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.

Entities:  

Mesh:

Year:  2009        PMID: 19279492      PMCID: PMC3057478          DOI: 10.1097/EDE.0b013e31819d1092

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


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