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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...
Autores principales: | Gopalappa, Chaitra, Balasubramanian, Hari, Haas, Peter J. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2022
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Materias: | |
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 |
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