Dr Itamar Megiddo

Senior Lecturer

Management Science

Personal statement

I am a Senior Lecturer (Associate Professor) in the Department of Management Science. My research is interdisciplinary and focuses on modelling to improve decision-making in healthcare policy, utilizing tools and methodologies from mathematical epidemiology, economics, and computer science, among other areas.


My main body of work involves systems modelling and simulation, including integrating disease and economic models for policy impact evaluation and prioritisation. I am particularly interested in agent-based modelling and hybrid models, which integrate modelling methodologies when this simplifies analyses. I am interested in both non-communicable disease and infectious disease as well as in how systems modelling can contribute to evaluating health system strengthening. I am currently doing work on antimicrobial resistance and vaccine financing among work in other areas. I am also conducting work related to Coivd-19.


I am affiliated with the Center for Disease Dynamics, Economics, and Policy in Washington, DC, where I am a Fellow. I have a PhD in Management Science, focusing on modelling for healthcare policy, from the University of Strathclyde and an MA in economics and BA honours economics from McGill University, in Montreal.


Impact of visitation and cohorting policies to shield residents from covid-19 spread in care homes : an agent-based model
Nguyen Le Khanh Ngan, Howick Susan, McLafferty Dennis, Anderson Gillian Hopkins, Pravinkumar Sahaya Josephine, Van Der Meer Robert, Megiddo Itamar
American Journal of Infection Control Vol 49, pp. 1105-1112 (2021)
Antimicrobial resistance : is health technology assessment part of the solution or part of the problem?
Colson Abigail R, Morton Alec, Årdal Christine, Chalkidou Kalipso, Davies Sally C, Garrison Louis P, Jit Mark, Laxminarayan Ramanan, Megiddo Itamar, Morel Chantal M, Nonvignon Justice, Outterson Kevin, Rex John H, Sarker Abdur Razzaque, Sculpher Mark, Woods Beth, Xiao Yue
Value in Health (2021)
COVID-19 vaccination in lower-middle income countries : national stakeholder views on challenges, barriers, and potential solutions
Tagoe Eunice Twumwaa, Sheikh Nurnabi, Morton Alec, Nonvignon Justice, Sarker Abdur Razzaque, Williams Lynn, Megiddo Itamar
Frontiers in Public Health Vol 9 (2021)
Health systems, population and patient challenges for achieving universal health coverage for hypertension in Ghana
Koduah Augustina, Nonvignon Justice, Colson Abigail, Kurdi Amanj, Morton Alec, van der Meer Robert, Aryeetey Genevieve, Megiddo Itamar
Health Policy and Planning (2021)
Application of hybrid simulation in the fight against Covid-19
Nguyen Le Khanh Ngan, Megiddo Itamar, Howick Susan
The EURO Working Group on Operational Research Applied to Health Services (ORAHS), pp. 31 (2021)
Introduction to the special issue : management science in the fight against Covid-19
Morton Alec, Bish Ebru, Megiddo Itamar, Zhuang Weifen, Aringhieri Roberto, Brailsford Sally, Deo Sarang, Geng Na, Higle Julie, Hutton David, Janssen Mart, Kaplan Ed, Li Jianbin, Oliveira Monica, Prinja Shankar, Rauner Marion, Silal Sheetal, Song Jie
Health Care Management Science (2021)

More publications

Professional activities

Implementation of ScotQR in NHS Lanarkshire
Agent-based modelling in public health: when and why?
Agent-based modelling to explore Covid-19 interventions in a care home.
Interventions for preventing Covid-19 outbreaks and controlling transmission in care homes
Agent-based modelling: an intro to what, why/when, and how
Methodology for estimating the private and societal values of antimicrobials

More professional activities


Analysing the links between fuel poverty, energy efficiency and health in Scottish communities
Mueller, Tanja (Principal Investigator) Calvillo Munoz, Christian (Principal Investigator) Megiddo, Itamar (Co-investigator)
Energy efficiency and the decarbonisation of heat have been identified as key areas to achieve the net zero targets set by the Scottish Government. However, these changes could translate into higher energy prices, putting further economic pressure on households. Also, impacts of fuel poverty are very likely to go beyond the lack of disposable income, potentially affecting health, work productivity, and general wellbeing.
This project aims to investigate links between housing type, energy efficiency ratings, economic status, fuel poverty, and health, with a focus on several diverse areas of Scotland. Generated hypotheses can then be used to inform future policies and as a basis for further research.
01-Jan-2020 - 30-Jan-2021
COVID-19 Multi-Model Comparison Consortium (CMCC)
Megiddo, Itamar (Principal Investigator)
15-Jan-2020 - 30-Jan-2020
A Socio-economically-informed Approach to Novel Treatments for TB
Scott, Fraser (Principal Investigator) Megiddo, Itamar (Co-investigator)
SFC GCRF Pump Priming Award
01-Jan-2020 - 30-Jan-2020
Assessment of cardiovascular diseases risk profile and management in HIV-infected patients in Kenya: A local situation analysis to inform future development of quality improvement interventions
Kurdi, Amanj (Principal Investigator) ACHIENG, Loice (Principal Investigator) Bennie, Marion (Co-investigator) Godman, Brian (Co-investigator) Kavanagh, Kimberley (Co-investigator) Megiddo, Itamar (Co-investigator)
01-Jan-2019 - 31-Jan-2020
STRAthclyde Diversity in Data LinkagE (STRADDLE) Doctoral Training Centre
Barry, Sarah (Co-investigator) Kavanagh, Kimberley (Co-investigator) Megiddo, Itamar (Co-investigator) Murray, Paul (Co-investigator) Rattray, Nicholas (Co-investigator)
The focus of the STRAthclyde Diversity in Data LinkagE (STRADDLE) DTC is to develop a centre of excellence in the linkage and analysis of data across disciplines. With an initial focus on health and healthcare delivery, STRADDLE will deliver linkage and innovative analysis of data from the molecular to population level, to achieve new insights and to maximize the value of health research data. There are 3 fully funded, 3.5 year PhD studentships are available to highly motivated UK and EU students. Successful applicants will be trained as the next generation of data scientists and develop skills and know how to deliver on the integration of diverse clinical data types – from molecules to man to populations.
01-Jan-2019 - 31-Jan-2023
Extension: Mathematical Modelling of a Novel Autodissemination Trap.
Greenhalgh, David (Principal Investigator) Megiddo, Itamar (Co-investigator)
£10,343 extension to our Scottish Funding Council (SFC) Global Challenges Research Fund (GCRF) Escalator Fund. Three extra months RA effort.
01-Jan-2019 - 31-Jan-2019

More projects