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

Abstract 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 poli...

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主要な著者:	Nicole A. Swartwood, Christian Testa, Ted Cohen, Suzanne M. Marks, Andrew N. Hill, Garrett Beeler Asay, Jennifer Cochran, Kevin Cranston, Liisa M. Randall, Andrew Tibbs, C. Robert Horsburgh, Joshua A. Salomon, Nicolas A. Menzies
フォーマット:	Artigo
言語:	Inglês
出版事項:	BMC 2023-08-01
シリーズ:	BMC Medicine
主題:	Tuberculosis Infectious disease Mathematical modeling Web application Epidemiology
オンライン･アクセス:	https://doi.org/10.1186/s12916-023-02785-y
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