Pages that link to "Item:Q2221739"
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The following pages link to System inference for the spatio-temporal evolution of infectious diseases: Michigan in the time of COVID-19 (Q2221739):
Displaying 10 items.
- Predicting the second wave of COVID-19 in Washtenaw County, MI (Q827774) (← links)
- Estimating the time-dependent contact rate of SIR and SEIR models in mathematical epidemiology using physics-informed neural networks (Q2071475) (← links)
- Accounting for super-spreader events and algebraic decay in SIR models (Q2083206) (← links)
- COVID-19 dynamics across the US: a deep learning study of human mobility and social behavior (Q2237292) (← links)
- Bayesian inference of heterogeneous epidemic models: application to COVID-19 spread accounting for long-term care facilities (Q2237746) (← links)
- Adaptive mesh refinement and coarsening for diffusion-reaction epidemiological models (Q2241891) (← links)
- A data-validated temporary immunity model of COVID-19 spread in Michigan (Q2688753) (← links)
- Identification of time delays in COVID-19 data (Q6113793) (← links)
- Optimal control of a reaction–diffusion model related to the spread of COVID-19 (Q6145799) (← links)
- Well‐posedness for a diffusion–reaction compartmental model simulating the spread of COVID‐19 (Q6178206) (← links)
