2 papers
stat.AP2021
Diversity of symptom phenotypes in SARS-CoV-2 community infections observed in multiple large datasets
Martyn Fyles, Karina-Doris Vihta, Carole H Sudre +13
Through the use of cutting-edge unsupervised classification techniques from statistics and machine learning, we characterise symptom phenotypes among symptomatic SARS-CoV-2 PCR-pos…
q-bio.PE2020
Unfolding selection to infer individual risk heterogeneity for optimising disease forecasts and policy development
M. Gabriela M. Gomes, Nicholas A. Feasey, Marcelo U. Ferreira +11
Mathematical models are increasing adopted for setting targets for disease prevention and control. As model-informed policies are implemented, however, the inaccuracies of some for…