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...

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Detalles Bibliográficos
Autores principales: Gopalappa, Chaitra, Balasubramanian, Hari, Haas, Peter J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9827035/
https://www.ncbi.nlm.nih.gov/pubmed/36632177
http://dx.doi.org/10.1016/j.idm.2022.12.003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9827035/
https://www.ncbi.nlm.nih.gov/pubmed/36632177
http://dx.doi.org/10.1016/j.idm.2022.12.003

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