A framework for network-based epidemiological modeling of tuberculosis dynamics using synthetic datasets

DOI10.1007/s11538-020-00752-9zbMath1444.92122OpenAlexW3014179223MaRDI QIDQ2189979

Marissa Renardy, Denise E. Kirschner

Publication date: 17 June 2020

Published in: Bulletin of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1101/2020.03.30.20047795

zbMATH Keywords

tuberculosisepidemiologysynthetic populationnetwork-based model

Mathematics Subject Classification ID

Epidemiology (92D30) Social networks; opinion dynamics (91D30)

Related Items

Predicting the second wave of COVID-19 in Washtenaw County, MI ⋮ Evaluating strategies for tuberculosis to achieve the goals of WHO in China: a seasonal age-structured model study ⋮ Transmission dynamics of tuberculosis with age-specific disease progression ⋮ A synthesized model of tuberculosis transmission featuring treatment abandonment ⋮ Structural identifiability analysis of age-structured PDE epidemic models ⋮ Transmission dynamics to a spatially diffusive tuberculosis model subject to age-since-infection

Uses Software

• FRED

Cites Work

• Unnamed Item
• Pandemic simulation of antivirals+school closures: buying time until strain-specific vaccine is available
• Global stability of an age-structure model for TB and its applications to optimal vaccination strategies
• Evaluating vaccination strategies for tuberculosis in endemic and non-endemic settings
• Modeling socio-demography to capture tuberculosis transmission dynamics in a low burden setting
• A methodology for performing global uncertainty and sensitivity analysis in systems biology
• The effects of population heterogeneity on disease invasion
• The implications of network structure for epidemic dynamics
• A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code