Tabby2: a user-friendly web tool for forecasting state-level TB outcomes in the United States

BACKGROUND: In the United States, the tuberculosis (TB) disease burden and associated factors vary substantially across states. While public health agencies must choose how to deploy resources to combat TB and latent tuberculosis infection (LTBI), state-level modeling analyses to inform policy decis...

Descripción completa

Detalles Bibliográficos
Autores principales: Swartwood, Nicole A., Testa, Christian, Cohen, Ted, Marks, Suzanne M., Hill, Andrew N., Beeler Asay, Garrett, Cochran, Jennifer, Cranston, Kevin, Randall, Liisa M., Tibbs, Andrew, Horsburgh, C. Robert, Salomon, Joshua A., Menzies, Nicolas A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469407/
https://www.ncbi.nlm.nih.gov/pubmed/37649031
http://dx.doi.org/10.1186/s12916-023-02785-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469407/
https://www.ncbi.nlm.nih.gov/pubmed/37649031
http://dx.doi.org/10.1186/s12916-023-02785-y

Ejemplares similares