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Bayesian nonparametric inference for heterogeneously mixing infectious disease models
Infectious disease transmission models require assumptions about how the pathogen spreads between individuals. These assumptions may be somewhat arbitrary, particularly when it comes to describing how transmission varies between individuals of different types or in different locations, and may in tu...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915959/ https://www.ncbi.nlm.nih.gov/pubmed/35238628 http://dx.doi.org/10.1073/pnas.2118425119 |