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...

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Detalles Bibliográficos
Autores principales: McCreesh, Nicky, Morrow, Carl, Middelkoop, Keren, Wood, Robin, White, Richard G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6731521/
https://www.ncbi.nlm.nih.gov/pubmed/30910644
http://dx.doi.org/10.1016/j.epidem.2019.03.005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6731521/
https://www.ncbi.nlm.nih.gov/pubmed/30910644
http://dx.doi.org/10.1016/j.epidem.2019.03.005

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