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Email

richard.creswell@unimelb.edu.au

Credentials


Position
Research Fellow in Epidemic Analytics & Surveillan
Melbourne School of Population and Global Health - Centres and Institutes
Education
PhD
Oxford University
Masters (Coursework)
Columbia University in the City of New York
Bachelors Degree
Columbia University in the City of New York
ORCID

0000-0002-9491-1897

Dr Richard Creswell

Research Fellow in Epidemic Analytics & Surveillan
Melbourne School of Population and Global Health

18 Scholarly works
0 Projects

HIGHLIGHTS

  • 2025

    Journal article

    Identification and attribution of weekly periodic biases in global epidemiological time series data
    DOI: 10.1186/s13104-025-07145-y
  • 2025

    Journal article

    EpiGeoPop: a tool for developing spatially accurate country-level epidemiological models
    DOI: 10.1038/s41598-025-11999-4
  • 2025

    Journal article

    Mixing methods: How listening to researchers, healthcare workers, and community members can improve the design of studies testing medical innovations for Neglected Tropical Diseases
    DOI: 10.1371/journal.pntd.0013547
  • 2025

    Journal article

    The Mathematics of Serocatalytic Models With Applications to Public Health Data
    DOI: 10.1002/sim.70188
  • 2025

    Journal article

    Influence of context on engagement with COVID-19 testing: a scoping review of barriers and facilitators to testing for healthcare workers, care homes and schools in the UK.
    DOI: 10.1136/bmjopen-2024-089062
  • 2025

    Journal article

    Mass testing for discovery and control of COVID-19 outbreaks in adult social care: an observational study and cost-effectiveness analysis of 14 805 care homes in England.
    DOI: 10.1136/bmjph-2024-001376
  • 2024

    Journal article

    COVID-19 testing and reporting behaviours in England across different sociodemographic groups: a population-based study using testing data and data from community prevalence surveillance surveys
    DOI: 10.1016/S2589-7500(24)00169-9
Richard Creswell

RECENT SCHOLARLY WORKS

  • 2024

    Journal article

    Ten simple rules for training scientists to make better software
    DOI: 10.1371/journal.pcbi.1012410
  • 2024

    Journal article

    Decision to self-isolate during the COVID-19 pandemic in the UK: A rapid scoping review
    DOI: 10.1136/bmjopen-2024-084437
  • 2024

    Journal article

    Understanding the impact of numerical solvers on inference for differential equation models
    DOI: 10.1098/rsif.2023.0369

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