The effect of disease-induced mortality on structural network properties

Lazaros Gallos, Nina H. Fefferman

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

As the understanding of the importance of social contact networks in the spread of infectious diseases has increased, so has the interest in understanding the feedback process of the disease altering the social network. While many studies have explored the influence of individual epidemiological parameters and/or underlying network topologies on the resulting disease dynamics, we here provide a systematic overview of the interactions between these two influences on population-level disease outcomes.We show that the sensitivity of the population-level disease outcomes to the combination of epidemiological parameters that describe the disease are critically dependent on the topological structure of the population's contact network. We introduce a new metric for assessing disease-driven structural damage to a network as a population-level outcome. Lastly, we discuss how the expected individual-level disease burden is influenced by the complete suite of epidemiological characteristics for the circulating disease and the ongoing process of network compromise. Our results have broad implications for prediction and mitigation of outbreaks in both natural and human populations.

Original languageEnglish (US)
Article numbere0136704
JournalPLoS ONE
Volume10
Issue number8
DOIs
StatePublished - Aug 27 2015

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Mortality
burden of disease
social networks
human population
topology
infectious diseases
Population
population structure
Social Support
prediction
Disease Outbreaks
Communicable Diseases
Topology
Feedback

All Science Journal Classification (ASJC) codes

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

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The effect of disease-induced mortality on structural network properties. / Gallos, Lazaros; Fefferman, Nina H.

In: PLoS ONE, Vol. 10, No. 8, e0136704, 27.08.2015.

Research output: Contribution to journalArticle

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