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Email

pietro.procopio@unimelb.edu.au

Credentials


Position
Research Fellow in Data Modelling and Analysis
Melbourne School of Population and Global Health - Centres and Institutes
Education
PhD
University of Ferrara
Bachelors Degree
University of Bologna
ORCID

0000-0002-7858-9746

Dr Pietro Procopio

Research Fellow in Data Modelling and Analysis
Melbourne School of Population and Global Health

92 Scholarly works
1 Projects

HIGHLIGHTS

  • 2024

    Journal article

    Reduced Breast and Ovarian Cancer Through Targeted Genetic Testing: Estimates Using the NEEMO Microsimulation Model
    DOI: 10.3390/cancers16244165
  • 2023

    Journal article

    A modelled evaluation of the impact of COVID-19 on breast, bowel, and cervical cancer screening programmes in Australia
    DOI: 10.7554/eLife.82818
  • 2022

    Conference Proceedings

    The estimated impact of COVID-19 on population breast cancer screening outcomes, and options for risk-based recovery
    DOI: 10.1158/1538-7445.SABCS21-P2-10-05
  • 2021

    Journal article

    The impact of the Covid-19 pandemic on breast cancer early detection and screening
    DOI: 10.1016/j.ypmed.2021.106585
  • 2021

    Conference Proceedings

    Can mammographic density add value to the Gail model in risk-stratifying women in BreastScreen Australia?
    DOI: 10.1093/ije/dyab168.682
  • 2021

    Conference Proceedings

    The estimated impact of improved breast screening tests targeted at women with dense breasts
    DOI: 10.1093/ije/dyab168.546
  • 2018

    Research contracts (non-grants)

    Cancer Council NSW - University of Melbourne Agreement Re. Nickson and Procopio
Pietro Procopio

RECENT SCHOLARLY WORKS

  • 2021

    Conference Proceedings

    The estimated impact of COVID-19 on Australia's BreastScreen Program
  • 2021

    Journal article

    Breast cancer screening and overdiagnosis
    DOI: 10.1002/ijc.33602
  • 2021

    Conference Proceedings

    IT'S ALL IN THE FAMILY: MICROSIMULATION MODELLING OF GENETIC TESTING
  • 2021

    Conference Proceedings

    CN3 It's All in the Family: Microsimulation Modelling of Genetic Testing
    DOI: 10.1016/j.jval.2021.04.018

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