Networks and epidemic models
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Abstract
Networks and the epidemiology of directly transmitted infectious diseases are fundamentally linked. The foundations of epidemiology and early epidemiological models were based on population wide random-mixing, but in practice each individual has a finite set of contacts to whom they can pass infection; the ensemble of all such contacts forms a 'mixing network'. Knowledge of the structure of the network allows models to compute the epidemic dynamics at the population scale from the individual-level behaviour of infections. Therefore, characteristics of mixing networks-and how these deviate from the random-mixing norm-have become important applied concerns that may enhance the understanding and prediction of…
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Authors
2Topics & keywords
Topics
Keywords
- Mixing patterns
- Computer science
- Population
- Mixing (physics)
- Complex network
- Variety (cybernetics)
- Network model
- Data science
UN Sustainable Development Goals
- Good health and well-being
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