Estimating age-mixing patterns relevant for the transmission of airborne infections
Introduction: Age-mixing patterns can have substantial effects on infectious disease dynamics and intervention effects. Data on close contacts (people spoken to and/or touched) are often used to estimate age-mixing. These are not the only relevant contacts for airborne infections such as tuberculosi...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2019-09-01
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Series: | Epidemics |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1755436518301646 |