What is it about?
This research introduces a novel estimator that relies on transmission chain data (who infected whom) to quantify the tendency of infections to spread within versus between groups. Through comprehensive simulations, we determined that this methodology yields the most reliable results when each population group has accumulated at least 30 cases prior to reaching their epidemic peaks.
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Why is it important?
Understanding how diseases spread between different groups of people is critical for effective outbreak control. Our novel methodology characterises transmission patterns between groups, enabling the development of targeted interventions that minimise costs and societal disruption. By establishing guidelines for the minimum data requirements needed to make reliable inferences, our work helps public health officials determine when their data can be trusted to inform evidence-based control measures.
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This page is a summary of: Sorting out assortativity: When can we assess the contributions of different population groups to epidemic transmission?, PLoS ONE, December 2024, PLOS,
DOI: 10.1371/journal.pone.0313037.
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