Contacts

Associate Professor Nick Scott

Head, Modelling & Biostatistics

Background

Dr Nick Scott, BSc (hons), PhD (Mathematics) is the Head of Modelling & Biostatistics at the Burnet Institute, an Adjunct Senior Research Fellow at Monash University, and an NHMRC Emerging Leader Fellow. He leads a team of modellers who work across a number of infectious diseases and public health problems including:

  • COVID-19
  • Hepatitis C
  • Hepatitis B
  • HIV
  • Tuberculosis
  • Malaria
  • Nutrition
  • Maternal, Newborn and Child health
  • Adolescent Health

His work aims to produce evidence to support decision and policy making, and includes epidemic and economic modelling, cost-effectiveness and return on investment analyses, resource optimisation analyses and statistical analyses.

Dr Scott and his team are consultants to the World Bank, Gates Foundation, Global Fund, United Nations Population Fund and the WHO, and are members of international HIV, TB, malaria and nutrition modelling consortiums.

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

Positions

  • 2020-ongoing: Head of Modelling & Biostatistics, Burnet Institute
  • 2015-ongoing: Adjunct Senior Research Fellow, Monash University
  • 2013-2020: Econometrician, Burnet Institute
  • 2012-2013: Consultant, Transport Strategy & Operations, URS Australia
  • 2008-2012: Graduate Research Student, The University of Melbourne

Qualifications

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

Awards

  • 2022: NHMRC Emerging Leader Fellowship
  • 2021: Gust-McKenzie Medal
  • 2016: Harold Mitchell Foundation Postdoctoral Travel Fellowship
  • 2014-15: Jim and Margaret Beever Fellowship
  • 2008-2011: Australian Postgraduate Award
  • 2007: University of Melbourne Honours Scholarship

Projects (22)

Current (21)

  • 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

  • Implementing the WHO Labour Care Guide to reduce the use of Caesarean section in four hospitals in India

  • Modelling for evidence-based national hepatitis B testing plans

  • Modelling hepatitis C virus elimination and control policies in Myanmar

  • Optima HIV Modelling

  • Optima Malaria Modelling

  • Optima Nutrition Modelling

  • 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 (116)

2022 (21)

2021 (21)

2020 (23)

2019 (8)

2018 (15)

2017 (8)

2016 (9)

2015 (7)

2014 (2)

2013 (2)

News Articles (38)

2022 (2)

2021 (18)

2020 (6)

2019 (1)

2018 (3)

2017 (2)

2016 (2)

2015 (3)

2014 (1)