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H. Juliette T. Unwin
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Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis
Artificial intelligence for modelling infectious disease epidemics
Estimating the impact of imported malaria on local transmission in a near elimination setting: a case study from Bhutan
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya
A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models
Effectiveness assessment of non-pharmaceutical interventions: lessons learned from the COVID-19 pandemic
Assessment of COVID-19 as the Underlying Cause of Death Among Children and Young People Aged 0 to 19 Years in the US
Estimating the COVID-19 infection fatality ratio accounting for seroreversion using statistical modelling
Global, regional, and national minimum estimates of children affected by COVID-19-associated orphanhood and caregiver death, by age and family circumstance up to Oct 31, 2021: an updated modelling study
Epidemia: An R Package for Semi-Mechanistic Bayesian Modelling of Infectious Diseases using Point Processes
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
Inference of malaria reproduction numbers in three elimination settings by combining temporal data and distance metrics
Global minimum estimates of children affected by COVID-19-associated orphanhood and deaths of caregivers: a modelling study
Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria
Using Hawkes Processes to model imported and local malaria cases in near-elimination settings
Age groups that sustain resurging COVID-19 epidemics in the United States
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