Comparative Modeling of Tuberculosis Epidemiology and Policy Outcomes in California

Nicolas A Menzies; Andrea Parriott; Sourya Shrestha; David W. Dowdy; Ted Cohen; Joshua A. Salomon; Suzanne M. Marks; Andrew N. Hill; Carla A. Winston; Garrett R. Beeler Asay; James G. Kahn; Priya B. Shete

doi:https://doi.org/10.1164/rccm.201907-1289oc

doi.org/10.1164/rccm.201907-1289oc

Comparative Modeling of Tuberculosis Epidemiology and Policy Outcomes in California

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..., Priya B. Shete

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American Journal of Respiratory and Critical Care Medicine24.70

Volume: 201, Issue: 3, Pages: 356 - 365

Published: Feb 1, 2020

Abstract

Rationale: Mathematical modeling is used to understand disease dynamics, forecast trends, and inform public health prioritization. We conducted a comparative analysis of tuberculosis (TB) epidemiology and potential intervention effects in California, using three previously developed epidemiologic models of TB.Objectives: To compare the influence of various modeling methods and assumptions on epidemiologic projections of domestic latent TB...

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Paper Details

Title

Comparative Modeling of Tuberculosis Epidemiology and Policy Outcomes in California

DOI

doi.org/10.1164/rccm.201907-1289oc

Published Date

Feb 1, 2020

Journal

American Journal of Respiratory and Critical Care Medicine

Volume

201

Issue

3

Pages

356 - 365

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