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Epidemic models on social networks—With inference
Author(s) -
Britton Tom
Publication year - 2020
Publication title -
statistica neerlandica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 39
eISSN - 1467-9574
pISSN - 0039-0402
DOI - 10.1111/stan.12203
Subject(s) - inference , computer science , focus (optics) , statistical inference , stochastic modelling , transmission (telecommunications) , population , network model , data science , statistical model , social network (sociolinguistics) , econometrics , data mining , machine learning , artificial intelligence , statistics , mathematics , sociology , telecommunications , demography , world wide web , physics , social media , optics
This article considers stochastic models for the spread of an infection in a structured community, where this structured community is itself described by a random network model. Some common network models and transmission models are defined and large population properties of them are presented. The focus is then shifted to statistical methodology: what can be estimated and how, depending on the underlying network, transmission model, and the available data? This survey article discusses several different scenarios, giving references to publications where more details can be found, and identifies important open problems.