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Characterizing infectious disease progression through discrete states using hidden Markov models
Infectious disease management relies on accurate characterization of disease progression so that transmission can be prevented. Slowly progressing infectious diseases can be difficult to characterize because of a latency period between the time an individual is infected and when they show clinical s...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678993/ https://www.ncbi.nlm.nih.gov/pubmed/33216809 http://dx.doi.org/10.1371/journal.pone.0242683 |