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...

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Detalles Bibliográficos
Autores principales: Chapman, Lloyd A. C., Spencer, Simon E. F., Pollington, Timothy M., Jewell, Chris P., Mondal, Dinesh, Alvar, Jorge, Hollingsworth, T. Déirdre, Cameron, Mary M., Bern, Caryn, Medley, Graham F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
Materias:
Biological Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7568327/
https://www.ncbi.nlm.nih.gov/pubmed/32973088
http://dx.doi.org/10.1073/pnas.2002731117

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7568327/
https://www.ncbi.nlm.nih.gov/pubmed/32973088
http://dx.doi.org/10.1073/pnas.2002731117

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