Pages that link to "Item:Q5048322"
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The following pages link to Spatio-Temporal Modelling of Progression of the COVID–19 Pandemic (Q5048322):
Displaying 9 items.
- Modelling the spatial-temporal progression of the 2009 A/H1N1 influenza pandemic in Chile (Q746540) (← links)
- Linking dynamic patterns of COVID-19 spreads in Italy with regional characteristics: a two level longitudinal modelling approach (Q1981265) (← links)
- Analyzing the effect of duration on the daily new cases of COVID-19 infections and deaths using bivariate Poisson regression: a marginal conditional approach (Q2047865) (← links)
- A new statistical approach to model the counts of novel coronavirus cases (Q2140371) (← links)
- Modeling COVID-19 pandemic using Bayesian analysis with application to Slovene data (Q2207162) (← links)
- Assessment of effective mitigation and prediction of the spread of SARS-CoV-2 in Germany using demographic information and spatial resolution (Q2241984) (← links)
- A novel high-order multivariate Markov model for spatiotemporal analysis with application to COVID-19 outbreak (Q6080781) (← links)
- Mobility and the spatial spread of \textsc{Sars}-\textsc{CoV}-2 in Belgium (Q6133972) (← links)
- A multivariate spatiotemporal model for tracking COVID-19 incidence and death rates in socially vulnerable populations (Q6176278) (← links)
