51. Strength and weakness of disease-induced herd immunity in networks
- Author
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Hiraoka, Takayuki, Ghadiri, Zahra, Rizi, Abbas K., Kivelä, Mikko, and Saramäki, Jari
- Subjects
Physics - Physics and Society ,Quantitative Biology - Populations and Evolution - Abstract
When a fraction of a population becomes immune to an infectious disease, the population-wide infection risk decreases nonlinearly due to collective protection known as herd immunity. Studies based on mean-field models suggest that natural infection in a heterogeneous population may induce herd immunity more efficiently than homogeneous immunization. Here, we use network epidemic models to show that the opposite can also be the case. We identify two competing mechanisms driving disease-induced herd immunity in networks: the high density of immunity among socially active individuals enhances the herd immunity effect, while the topological localization of immune individuals weakens it. The effect of localization is stronger in networks embedded in low-dimensional space, which can make disease-induced immunity less effective than random immunization. Our results highlight the role of networks in shaping herd immunity and call for careful examination of model predictions that inform public health policies., Comment: Main text: 11 pages, 4 figures. Supplementary Materials: 8 pages, 2 figures
- Published
- 2023