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...
| Hlavní autoři: | , , , , , , , , , |
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| Médium: | Journal article |
| Jazyk: | English |
| Vydáno: |
National Academy of Sciences
2020
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