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Thomas A. Mellan

Application of referenced thermodynamic integration to Bayesian model selection
Unifying incidence and prevalence under a time-varying general branching process
A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models
Estimating the COVID-19 infection fatality ratio accounting for seroreversion using statistical modelling
Spatial and temporal fluctuations in COVID-19 fatality rates in Brazilian hospitals
Understanding the effectiveness of government interventions against the resurgence of COVID-19 in Europe
The association between mechanical ventilator compatible bed occupancy and mortality risk in intensive care patients with COVID-19: a national retrospective cohort study
Comparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modelling
Changing composition of SARS-CoV-2 lineages and rise of Delta variant in England
Quantifying Online News Media Coverage of the COVID-19 Pandemic: Text Mining Study and Resource
Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria
Age groups that sustain resurging COVID-19 epidemics in the United States
A unified machine learning approach to time series forecasting applied to demand at emergency departments
Referenced Thermodynamic Integration for Bayesian Model Selection: Application to COVID-19 Model Selection

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