Global minimum estimates of children affected by COVID-19-associated orphanhood and deaths of caregivers: a modelling study

Publication
Lancet
Oliver Ratmann
Oliver Ratmann
Lecturer in Statistics

I develop bespoke statistical methods for public good. My group and I are particularly interested in novel Bayesian methods that harness information in viral deep sequence data, mobile phone mobility data, and time-resolved patient data to characterise the spread of infectious diseases, and to guide public health interventions.

Samir Bhatt
Samir Bhatt
Professor of Machine Learning, Statistics and Public Health

I focus on mathematical, statistical and computer science tools to answer questions about human health.

Seth Flaxman
Seth Flaxman
Associate Professor

My research is on scalable methods and flexible models for spatiotemporal statistics and Bayesian machine learning, applied to public policy and social science.