A targeted vaccination strategy based on dynamic community detection for epidemic networks

Vaccination is a vital strategy to prevent and control the spread of infectious diseases. In this paper, we propose a vaccination strategy that starts with community detection in a dynamic epidemic network, then uses centrality measures to identify spreaders in these communities, who are then targeted for vaccination. By vaccinating the most influential individuals in each community, we aim to achieve a highly vaccinated network that can effectively contain the spread of the disease. To test the effectiveness of the methods, we evaluate them using different evaluation metrics. Our strategy is also highly scalable and adaptable to different epidemic scenarios, making it a promising approach for future epidemic control.