Inferring disease transmission networks at a metapopulation level


BACKGROUND To investigate transmission patterns of an infectious disease, e.g., malaria, it is desirable to use the observed surveillance data to discover the underlying (often hidden) disease transmission networks. Previous studies have provided methods for inferring information diffusion networks in which each node corresponds to an individual person… (More)
DOI: 10.1186/2047-2501-2-8


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