Improving Estimates of Social Contact Patterns for Airborne Transmission of Respiratory Pathogens

Improving Estimates of Social Contact Patterns for Airborne Transmission of Respiratory Pathogens

Data on social contact patterns are widely used to parameterize age-mixing matrices in mathematical models of infectious diseases. Most studies focus on close contacts only (i.e., persons spoken with face-to-face). This focus may be appropriate for studies of droplet and short-range aerosol transmi...

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Bibliographic Details
Main Authors: Nicky McCreesh, Mbali Mohlamonyane, Anita Edwards, Stephen Olivier, Keabetswe Dikgale, Njabulo Dayi, Dickman Gareta, Robin Wood, Alison D. Grant, Richard G. White, Keren Middelkoop
Format: Article
Language:English
Published: Centers for Disease Control and Prevention 2022-10-01
Series:Emerging Infectious Diseases
Subjects:
respiratory infections
tuberculosis and other mycobacteria
social contact
age-mixing
airborne
mathematical modelling
Online Access:https://wwwnc.cdc.gov/eid/article/28/10/21-2567_article

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