Inferring transmission trees to guide targeting of interventions against visceral leishmaniasis and post–kala-azar dermal leishmaniasis
Understanding of spatiotemporal transmission of infectious diseases has improved significantly in recent years. Advances in Bayesian inference methods for individual-level geo-located epidemiological data have enabled reconstruction of transmission trees and quantification of disease spread in space...
| Main Authors: | , , , , , , , , , |
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| Formato: | Journal article |
| Idioma: | English |
| Publicado em: |
National Academy of Sciences
2020
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