Pages that link to "Item:Q2072647"
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The following pages link to An international initiative of predicting the SARS-CoV-2 pandemic using ensemble data assimilation (Q2072647):
Displaying 6 items.
- A study of disproportionately affected populations by race/ethnicity during the SARS-CoV-2 pandemic using multi-population SEIR modeling and ensemble data assimilation (Q2072653) (← links)
- Analysis of COVID-19 in Japan with extended SEIR model and ensemble Kalman filter (Q2088868) (← links)
- Sequential data assimilation of the stochastic SEIR epidemic model for regional COVID-19 dynamics (Q2227162) (← links)
- Disentangling the role of virus infectiousness and awareness-based human behavior during the early phase of the COVID-19 pandemic in the European Union (Q6072821) (← links)
- Predicting the behavior of sparsely-sampled systems across neurobiology and epidemiology (Q6077311) (← links)
- Data assimilation predictive GAN (DA-PredGAN) applied to a spatio-temporal compartmental model in epidemiology (Q6101833) (← links)
