Logically Inferred Tuberculosis Transmission (LITT): A Data Integration Algorithm to Rank Potential Source Cases

Understanding tuberculosis (TB) transmission chains can help public health staff target their resources to prevent further transmission, but currently there are few tools to automate this process. We have developed the Logically Inferred Tuberculosis Transmission (LITT) algorithm to systematize the...

Descripción completa

Detalles Bibliográficos
Autores principales: Winglee, Kathryn, McDaniel, Clinton J., Linde, Lauren, Kammerer, Steve, Cilnis, Martin, Raz, Kala M., Noboa, Wendy, Knorr, Jillian, Cowan, Lauren, Reynolds, Sue, Posey, James, Sullivan Meissner, Jeanne, Poonja, Shameer, Shaw, Tambi, Talarico, Sarah, Silk, Benjamin J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8255782/
https://www.ncbi.nlm.nih.gov/pubmed/34235130
http://dx.doi.org/10.3389/fpubh.2021.667337

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8255782/
https://www.ncbi.nlm.nih.gov/pubmed/34235130
http://dx.doi.org/10.3389/fpubh.2021.667337

Ejemplares similares