Epihiper-A high performance computational modeling framework to support epidemic science.

ABSTRACT: This paper describes Epihiper, a state-of-the-art, high performance computational modeling framework for epidemic science. The Epihiper modeling framework supports custom disease models, and can simulate epidemics over dynamic, large-scale networks while supporting modulation of the epidemic evolution through a set of user-programmable interventions. The nodes and edges of the social-contact network have customizable sets of static and dynamic attributes which allow the user to specify intervention target sets at a very fine-grained level; these also permit the network to be updated in response to nonpharmaceutical interventions, such as school closures. The execution of interventions is governed by trigger conditions, which are Boolean expressions formed using any of Epihiper's primitives

SUBMITTER: Chen J 

PROVIDER: S-EPMC11667244 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature