Doctor Nick Scott

Head, Modelling & Biostatistics Group


Nick is an Econometrician and winner of the 2014 and 2015 Jim and Margaret Beever Fellowships. Since completing his mathematics PhD in 2012, he has built and used numerous mathematical, economic and statistical models to inform government policies, including:

  • Econometric and regression models of the heroin and methamphetamine markets in Melbourne, using data from cohort studies and the Victoria Police Forensic Services database—with submissions to the 2014 Victorian Parliamentary Inquiry into the Supply and Use of Methamphetamine and 2015 Ice Taskforce;

  • Markov models of the behavioural responses of people who inject drugs to changes in drug market economics;

  • Deterministic transmission models of hepatitis B virus, HIV and other sexually transmitted infections in prisons to determine the cost-benefits of condom availability;

  • Cost-effectiveness models of hepatitis C virus (HCV) treatment, including quantifying the impact of treating chronic HCV on the overall burden of liver disease, determining the cost-effectiveness of treating people who inject drugs with new therapies, determining the cost-effectiveness of reaching World Health Organisation elimination targets, and investigating the benefits of HCV vaccines;

  • A stochastic agent-based model ‘SimDrink’, currently being used to conduct alcohol policy experiments on populations of young heavy drinkers; and

  • Components of an allocative efficiency model as part of the ‘OptimaTB’ collaboration, designed to improve tuberculosis outcomes by optimising government funding allocation across preventative and treatment programs.

Listen to Dr Scott on Episode 7 of our How Science Matters podcast


  • 2012: PhD in Mathematics, The University of Melbourne
  • 2008: BSc (Hons), The University of Melbourne

Projects (18)

Current (17)

  • Cost-effectiveness evidence for maternal and perinatal health interventions

  • Cost-effectiveness of antenatal corticosteroids for women at risk of imminent preterm birth in the early preterm period in low resource countries

  • COVASIM: Modelling COVID-19

  • Decision science using Optima

  • HCV Elimination Modelling

  • Hepatitis B Modelling

  • Hepatitis C brief reports

  • Modelling for evidence-based national hepatitis B testing plans

  • Modelling hepatitis C virus elimination and control policies in Myanmar

  • Optimal community-delivered malaria elimination models for the Greater Mekong Sub-region

  • SimDrink: Using simulation modelling to perform alcohol policy experiments

  • STRIVE PNG: Stronger Surveillance and Systems Support for Rapid Identification and Containment of Resurgent or Resistant Vector-Borne Pathogens in Papua New Guinea

  • The elimination of hepatitis C as a global public health threat

  • The International Collaboration on Hepatitis C Elimination in HIV Cohorts (InCHEHC)

  • The Optimise Study: Optimising Isolation, Quarantine and Distancing for COVID-19

  • The QuickStart Study

  • Tools for the Integrated Management of Childhood Illness (Kenya, Myanmar and Senegal)

Past (1)

  • Strategies to reduce malnutrition with allocative efficiency analyses

Publications (101)

2022 (7)

2021 (20)

2020 (23)

2019 (8)

2018 (15)

2017 (8)

2016 (9)

2015 (7)

2014 (2)

2013 (2)

News Articles (36)

2021 (18)

2020 (6)

2019 (1)

2018 (3)

2017 (2)

2016 (2)

2015 (3)

2014 (1)