2 papers
stat.ME2025
A decision-theoretic framework for uncertainty quantification in epidemiological modelling
Nicholas Steyn, Freddie Bickford Smith, Cathal Mills +3
Estimating, understanding, and communicating uncertainty is fundamental to statistical epidemiology, where model-based estimates regularly inform real-world decisions. However, sou…
q-bio.PE2025
Fundamental limits on taming infectious disease epidemics
Giovanni Pugliese Carratelli, Xiaodong Cheng, Kris V. Parag +1
Epidemic control frequently relies on adjusting interventions based on prevalence. But designing such policies is a highly non-trivial problem due to uncertain intervention effects…