Open Access: Epidemic models on social networks


  • Author: Statistics Views
  • Date: 07 April 2020

Each week, we select a recently published Open Access article to feature. This week's article comes from Statistica Neerlandica and considers stochastic models for the spread of an infection in a structured community.

The article's abstract is given below, with the full article available to read here.

thumbnail image: Open Access: Epidemic models on social networks

Britton, T. Epidemic models on social networks—With inference. Statistica Neerlandica. 2020; 1– 20.

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.

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Published features on are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and express their gratitude. This panel are: Ron Kenett, David Steinberg, Shirley Coleman, Irena Ograjenšek, Fabrizio Ruggeri, Rainer Göb, Philippe Castagliola, Xavier Tort-Martorell, Bart De Ketelaere, Antonio Pievatolo, Martina Vandebroek, Lance Mitchell, Gilbert Saporta, Helmut Waldl and Stelios Psarakis.