A new mixed agent-based network and compartmental simulation framework for joint modeling of related infectious diseases- application to sexually transmitted infections
Background: A model that jointly simulates infectious diseases with common modes of transmission can serve as a decision-analytic tool to identify optimal intervention combinations for overall disease prevention. In the United States, sexually transmitted infections (STIs) are a huge economic burden...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2023-03-01
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Series: | Infectious Disease Modelling |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2468042722001099 |