Pages that link to "Item:Q2189979"
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The following pages link to A framework for network-based epidemiological modeling of tuberculosis dynamics using synthetic datasets (Q2189979):
Displaying 9 items.
- Predicting the second wave of COVID-19 in Washtenaw County, MI (Q827774) (← links)
- Modeling socio-demography to capture tuberculosis transmission dynamics in a low burden setting (Q1786546) (← links)
- Synchronization and self-organization in complex networks for a tuberculosis model (Q2035608) (← links)
- Structural identifiability analysis of age-structured PDE epidemic models (Q2074275) (← links)
- Transmission dynamics to a spatially diffusive tuberculosis model subject to age-since-infection (Q2085807) (← links)
- Evaluating strategies for tuberculosis to achieve the goals of WHO in China: a seasonal age-structured model study (Q2141301) (← links)
- Transmission dynamics of tuberculosis with age-specific disease progression (Q2155686) (← links)
- A synthesized model of tuberculosis transmission featuring treatment abandonment (Q2693581) (← links)
- Optimal control of multi-group spatio-temporal SIR model (Q6627026) (← links)