default author photo

Ian Hall

The University of Manchester

Oxford Road

Manchester, M13 9PL

United Kingdom

SCHOLARLY PAPERS

2

DOWNLOADS

168

TOTAL CITATIONS

0

Scholarly Papers (2)

1.

Probability of Extinction and Peak Time for Multi-Type Epidemics with Application to Covid-19 Variants of Concern

Number of pages: 19 Posted: 21 Nov 2024 Last Revised: 23 May 2025
University of Copenhagen, The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, University of Liverpool, The University of Manchester, The University of Manchester and The University of Manchester
Downloads 103 (674,591)

Abstract:

Loading...

Variant of Concern, Heterogeneity, Multi-type Branching Process, Stochastic Model, COVID-19

2.

Beyond diagnosis: a framework for epidemic testing

Number of pages: 28 Posted: 26 Apr 2026 Last Revised: 15 May 2026
University College London, University of Liverpool - Department of Public Health, Policy and Systems, University of Liverpool, University of Edinburgh - College of Medicine & Veterinary Medicine, UK Health Security Agency, University Hospitals of Leicester NHS Trust, Trinity College Dublin, Liverpool City Council, London School of Hygiene & Tropical Medicine, University of Oxford, UK Health Security Agency, University of Liverpool - Department of Health Data Science, The University of Manchester, The University of Manchester, Government of the United Kingdom - Public Health Scotland, Welsh Government, University of Oxford, Nuffield Department of Medicine, John Radcliffe Hospital, Imperial College London, King’s College London, University of Liverpool - Health Protection Research Unit in Emerging and Zoonotic Infections, University of Liverpool - Department of Public Health, Policy and Systems, University of Liverpool - Institute of Infection, Veterinary and Ecological Sciences, The Directorate of Public Health at Solihull Metropolitan Borough Council, UK Health Security Agency, University of Leeds, University of Bristol and University of Liverpool - Department of Public Health Policy and Systems
Downloads 65 (916,100)

Abstract:

Loading...

testing, COVID-19, SARS-CoV-2, epidemics, pandemics, data science, public health, infectious diseases