Spreading potential in disease relevant networks: Predicting centralities in rural Northeast Madagascar.

ABSTRACT: Heterogeneity in contact patterns can have marked effects on disease transmission, including through superspreading where few individuals drive most infections. Networks based on different types of human-human contacts quantify individuals' centrality, which can be used to identify individuals or sub-populations who are at increased risk of spreading disease. By understanding the predictors of centrality, high-risk individuals and sub-populations can be targeted to improve public health intervention strategies, even when detailed network data are unavailable. This study inferred transmission potential networks representing different pathogen transmission pathways among people living in rural villages of northeast Madagascar. We constructed four network types: social, close contact, househo

SUBMITTER: DeSisto CMM 

PROVIDER: S-EPMC12851470 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature