Projecting contact matrices in 177 geographical regions: An update and comparison with empirical data for the COVID-19 era.

ABSTRACT: Mathematical models have played a key role in understanding the spread of directly-transmissible infectious diseases such as Coronavirus Disease 2019 (COVID-19), as well as the effectiveness of public health responses. As the risk of contracting directly-transmitted infections depends on who interacts with whom, mathematical models often use contact matrices to characterise the spread of infectious pathogens. These contact matrices are usually generated from diary-based contact surveys. However, the majority of places in the world do not have representative empirical contact studies, so synthetic contact matrices have been constructed using more widely available setting-specific survey data on household, school, classroom, and workplace composition combined with empirical data on contact p

SUBMITTER: Prem K 

PROVIDER: S-EPMC8354454 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature