Seth Flaxman

University of Oxford — United Kingdom

Mathematics · Physical Sciences

72h-index76.8kcitations314works25.72yr avg
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Research Topics

COVID-19 epidemiological studies(63), Retinal Imaging and Analysis(37), Ophthalmology and Visual Impairment Studies(35), SARS-CoV-2 and COVID-19 Research(26), Gaussian Processes and Bayesian Inference(26)

Publications304 total

Regional and national estimates of children affected by all-cause and COVID-19-associated orphanhood and caregiver death in Brazil, by age and family circumstance: a modeling study
UNC Libraries·2025Open Access
Fast approximate Bayesian inference of HIV indicators using PCA adaptive Gauss-Hermite quadrature
Journal of Theoretical Biology·2025Open Access
The Role of Climate Change in the Expansion of Dengue
2025· 1 citedOpen Access
Trends in Maternal, Fetal, and Infant Mortality in the US, 2000–2023
Obstetrical & Gynecological Survey·2025
Regional and national estimates of children affected by all-cause and COVID-19-associated orphanhood and caregiver death in Brazil, by age and family circumstance: a modeling study
The Lancet Regional Health - Americas·2025Open Access
Fast approximate Bayesian inference of HIV indicators using PCA adaptive Gauss-Hermite quadrature
arXiv (Cornell University)·2025Open Access
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.
Journal of the Royal Statistical Society Series A (Statistics in Society)·2025Open Access
Scalable Spatiotemporal Inference with Biased Scan Attention Transformer Neural Processes
arXiv (Cornell University)·2025Open Access
IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples)
arXiv (Cornell University)·2025Open Access
Effective refractive error coverage in adults: a systematic review and meta-analysis of updated estimates from population-based surveys in 76 countries modelling the path towards the 2030 global target
The Lancet Global Health·2025· 9 citedOpen Access
Estimating the worst-case scenario for malaria parasite rate in sub-Saharan Africa
2025Open Access
Model‐free machine learning‐based 3D single molecule localisation microscopy
Journal of Microscopy·2025· 2 citedOpen Access
Real-time small area estimation of food security in Zimbabwe: integrating mobile-phone and face-to-face surveys using joint multilevel regression and poststratification
arXiv (Cornell University)·2025Open Access
Trends in Maternal, Fetal, and Infant Mortality in the US, 2000-2023
JAMA Pediatrics·2025· 7 cited
Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis
BMC Public Health·2025· 11 citedOpen Access
Protecting Africa's children from extreme risk: a runway of sustainability for PEPFAR programmes
The Lancet·2025· 22 citedOpen Access
DeepRV: Accelerating spatiotemporal inference with pre-trained neural priors
arXiv (Cornell University)·2025Open Access
Exploring the Potential and Limitations of Deep Learning and Explainable AI for Longitudinal Life Course Analysis
2025· 2 citedOpen Access
Artificial intelligence for modelling infectious disease epidemics
Nature·2025· 91 citedOpen Access
Regional and national estimates of children affected by all-cause and COVID-19-associated orphanhood and caregiver death in Brazil, by age and family circumstance
2025· 1 citedOpen Access
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Frequent Co-authors

Samir Bhatt(19), Rupert Bourne(14), Swapnil Mishra(14), Neil M. Ferguson(13), Serge Resnikoff(13), Janet L Leasher(13), H. Juliette T. Unwin(12), Charles Whittaker(12), Jost B. Jonas(12), Jill Keeffe(12), Konrad Pesudovs(12), Gretchen A Stevens(12), Thomas A. Mellan(11), Hugh R. Taylor(11), Daniel J. Laydon(10), Oliver Ratmann(10), Axel Gandy(9), Katy A. M. Gaythorpe(9), Christl A. Donnelly(9), Michaela Vollmer(9)