The role of symptomatic presentation in influenza A transmission risk.

Abstract:

:Computer models can be useful in planning interventions against novel strains of influenza. However such models sometimes make unsubstantiated assumptions about the relative infectivity of asymptomatic and symptomatic cases, or conversely assume there is no impact at all. Using household-level data from known-index studies of virologically confirmed influenza A infection, the relationship between an individual's infectiousness and their symptoms was quantified using a discrete-generation transmission model and Bayesian Markov chain Monte Carlo methods. It was found that the presence of particular respiratory symptoms in an index case does not influence transmission probabilities, with the exception of child-to-child transmission where the donor has phlegm or a phlegmy cough.

journal_name

Epidemiol Infect

authors

Wardell R,Prem K,Cowling BJ,Cook AR

doi

10.1017/S0950268816002740

subject

Has Abstract

pub_date

2017-03-01 00:00:00

pages

723-727

issue

4

eissn

0950-2688

issn

1469-4409

pii

S0950268816002740

journal_volume

145

pub_type

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