Seth Flaxman
Latest
- Global approaches to infectious disease surveillance and modeling
- Robert Verity, Samir Bhatt, Anne Cori, Seth Flaxman, and Swapnil Mishra’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.
- Estimating the worst-case scenario for malaria parasite rate in sub-Saharan Africa
- Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis
- Artificial intelligence for modelling infectious disease epidemics
- Ethnicity and anthropometric deficits in children: A cross-sectional analysis of national survey data from 18 countries in sub-Saharan Africa
- Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya
- Application of referenced thermodynamic integration to Bayesian model selection
- Semi-mechanistic Bayesian modelling of COVID-19 with renewal processes
- Assessment of COVID-19 as the Underlying Cause of Death Among Children and Young People Aged 0 to 19 Years in the US
- Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference
- Global disparities in SARS-CoV-2 genomic surveillance
- A COVID-19 Model for Local Authorities of the United Kingdom
- Authors’ Reply to the Discussion of ‘A COVID-19 Model for Local Authorities of the United Kingdom’ by Mishra et al. in Session 2 of the Royal Statistical Society’s Special Topic Meeting on COVID-19 Transmission: 11 June 2021
- Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes
- $$\pi $$VAE: a stochastic process prior for Bayesian deep learning with MCMC
- Regularised B-splines Projected Gaussian Process Priors to Estimate Time-trends in Age-specific COVID-19 Deaths
- Lessons from SARS-CoV-2 in India: A data-driven framework for pandemic resilience
- PriorVAE: encoding spatial priors with variational autoencoders for small-area estimation
- Spatial and temporal fluctuations in COVID-19 fatality rates in Brazilian hospitals
- A dataset of non-pharmaceutical interventions on SARS-CoV-2 in Europe
- Comparative analysis of the risks of hospitalisation and death associated with SARS-CoV-2 omicron (B.1.1.529) and delta (B.1.617.2) variants in England: a cohort study.
- 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
- πVAE: a stochastic process prior for Bayesian deep learning with MCMC
- Track Omicron’s spread with molecular data
- Vaccinating adolescents against SARS-CoV-2 in England: a risk–benefit analysis
- Epidemia: An R Package for Semi-Mechanistic Bayesian Modelling of Infectious Diseases using Point Processes
- PriorVAE: Encoding spatial priors with VAEs for small-area estimation
- Understanding the effectiveness of government interventions against the resurgence of COVID-19 in Europe
- The impact of the COVID-19 pandemic on patterns of attendance at emergency departments in two large London hospitals: an observational study
- 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
- Is the cure really worse than the disease? The health impacts of lockdowns during COVID-19
- Global minimum estimates of children affected by COVID-19-associated orphanhood and deaths of caregivers: a modelling study
- Quantifying Online News Media Coverage of the COVID-19 Pandemic: Text Mining Study and Resource
- Aggregated Gaussian Processes with Multiresolution Earth Observation Covariates
- Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria
- Modelling the impact of the tier system on SARS-CoV-2 transmission in the UK between the first and second national lockdowns
- Using Hawkes Processes to model imported and local malaria cases in near-elimination settings
- Implications of a highly transmissible variant of SARS-CoV-2 for children
- Assessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England
- Multimodal deep learning from satellite and street-level imagery for measuring income, overcrowding, and environmental deprivation in urban areas
- 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