ArticleBulletin of mathematical biology2021
The Role of Movement Patterns in Epidemic Models on Complex Networks.
Article in Bulletin of mathematical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- A coupled model for public health risk: hazard and urban vulnerability in 18 cities in Sichuan, China.Frontiers in public health · 2025Article
- Interacting particle models on the impact of spatially heterogeneous human behavioral factors on dynamics of infectious diseases.PLoS computational biology · 2024Article
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Authors and funding
2 authors.
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Abstract
In this paper, we analyze the influence of the usual movement variables on the spread of an epidemic. Specifically, given two spatial topologies, we can deduce which topology produces less infected individuals. In particular, we determine the topology that minimizes the overall number of infected individuals. It is worth noting that we do not assume any of the common simplifying assumptions in network theory such as all the links have the same diffusion rate or the movement of the individuals is symmetric. Our main conclusion is that the degree of mobility of the population plays a critical role in the spread of a disease. Finally, we derive theoretical insights to management of epidemics.
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