Social fluidity mobilizes contagion in human and animal populations

被引:7
作者
Colman, Ewan [1 ,2 ]
Colizza, Vittoria [3 ]
Hanks, Ephraim M. [4 ]
Hughes, David P. [5 ]
Bansal, Shweta [1 ]
机构
[1] Georgetown Univ, Dept Biol, Washington, DC 20057 USA
[2] Univ Edinburgh, Roslin Inst, Edinburgh, Midlothian, Scotland
[3] Sorbonne Univ, INSERM, Inst Pierre Louis Epidemiol & Sante Publ IPLESP, Paris, France
[4] Penn State Univ, Eberly Coll Sci, Dept Stat, State Coll, PA USA
[5] Penn State Univ, Coll Agr Sci, Dept Entomol, State Coll, PA USA
来源
ELIFE | 2021年 / 10卷
基金
美国国家科学基金会;
关键词
GROUP-SIZE; DEFINITION; STABILITY; DOMINANCE; DYNAMICS; PATTERNS; PRIMATES; DISEASE; MODELS;
D O I
10.7554/eLife.62177
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Humans and other group-living animals tend to distribute their social effort disproportionately. Individuals predominantly interact with a small number of close companions while maintaining weaker social bonds with less familiar group members. By incorporating this behavior into a mathematical model, we find that a single parameter, which we refer to as social fluidity, controls the rate of social mixing within the group. Large values of social fluidity correspond to gregarious behavior, whereas small values signify the existence of persistent bonds between individuals. We compare the social fluidity of 13 species by applying the model to empirical human and animal social interaction data. To investigate how social behavior influences the likelihood of an epidemic outbreak, we derive an analytical expression of the relationship between social fluidity and the basic reproductive number of an infectious disease. For species that form more stable social bonds, the model describes frequency-dependent transmission that is sensitive to changes in social fluidity. As social fluidity increases, animal-disease systems become increasingly density-dependent. Finally, we demonstrate that social fluidity is a stronger predictor of disease outcomes than both group size and connectivity, and it provides an integrated framework for both density-dependent and frequency-dependent transmission.
引用
收藏
页数:15
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