Details:

Alternative Title:
Epidemiol Infect
Personal Author:
Wardell, Rebecca ; Prem, Kiesha ; Cowling, Benjamin J ; Cook, Alex R
Wardell, Rebecca ; Prem, Kiesha ; Cowling, Benjamin J ; Cook, Alex R Less -
Description:
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.
Subjects:
[+]
Adult Aged Aged, 80 And Over Article Bayesian Statistics Child Child, Preschool Computer Simulation Disease Transmission, Infectious Female Humans Influenza, Human Influenza A Male Middle Aged Modelling Models, Statistical Risk Assessment Symptoms Transmission Young Adult
Source:
Epidemiol Infect. 145(4):723-727
Pubmed ID:
27916020
Pubmed Central ID:
PMC5528871
Document Type:
Journal Article
Funding:
U01 CI000439/CI/NCPDCID CDC HHS/United States ; U54 GM088558/GM/NIGMS NIH HHS/United States
U01 CI000439/CI/NCPDCID CDC HHS/United States ; U54 GM088558/GM/NIGMS NIH HHS/United States Less -
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:8ba6dc7f2e6a2ef0dd662278e652d2521f3eda51c5e4e98f2ee9a09bb841f537
Download URL:
https://stacks.cdc.gov/view/cdc/47232/cdc_47232_DS1.pdf
File Type:

Supporting Files

• 	NIHMS881044-supplement-Supporting_information.pdf	pdf
  	nihms881044.nxml	xml
  	nihms881044f1.gif	gif
  	nihms881044f1.jpg	jpeg

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