Superspreader Hubs: Contact-Network Percolation and Targeted Vaccination Lab

What Superspreader Hubs Are

Superspreader hubs refer to individuals or groups within a population that significantly contribute to the spread of infectious diseases. In this context, we simulate these dynamics through contact networks where each household represents an individual and connections between households represent potential transmission pathways.

The simulation allows us to explore how different network structures—such as random, small-world, and hub-dominated configurations—affect disease propagation and the effectiveness of vaccination strategies.

Network Structures and Disease Spread

Different network structures can dramatically influence the spread of infectious diseases. In a random network, connections between households are distributed uniformly, whereas in a small-world network, while most nodes are not neighbors but can be reached through short paths, there is also a higher probability of having direct links between distant nodes.

Hub-dominated networks feature a few highly connected households (hubs) that act as critical points for disease transmission. These hubs can significantly amplify the spread of infection compared to more evenly distributed connections.

Percolation Theory and Disease Outbreaks

Percolation theory is a mathematical model used to describe the behavior of connected clusters in random networks. In the context of disease spread, it helps us understand how an infectious agent can propagate through a network until it reaches a critical threshold where the outbreak becomes widespread.

By simulating outbreaks on various network structures, we can observe how changes in network topology affect the percolation process and the overall dynamics of the disease.

Vaccination Strategies and Network R0

The basic reproduction number (R0) is a key metric that quantifies the expected number of cases directly generated by one case in a population. In this simulation, we can test different vaccination strategies—random versus targeted at hubs—to see how they impact the overall R0 and control disease spread.

Targeted vaccination, particularly focusing on high-degree nodes (hubs), can be more efficient than random vaccination because it directly addresses the critical points of transmission within the network.

Frequently asked questions

Try it live

Everything above runs in your browser — open Superspreader Hubs: Contact-Network Percolation and Targeted Vaccination Lab and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.