Dr Arminder Deol


Assistant Professor
Modelling and Epidemiology

Keppel Street
United Kingdom

Arminder holds a PhD in Epidemiology from Imperial College London. In addition, she completed her MSc in 2012 in Epidemiology (mathematical modelling) at Imperial College London and subsequently went on to work in population genetics of schistosomiasis at the Dept. of Infectious Disease Epidemiology with Professor Joanne Webster.  She has worked with the Partnership for Child Development providing statistical support, as well as the SCI Foundation (Imperial College London) with operational research research as part of the Monitoring and Evaluation team. She was also involved with the data collection from Mozambique, where she spent several weeks in the field, assisting the teams and identifying infection intensities through microscopy as part of the Schistosomiasis Consortium for Operational Research and Evaluation (SCORE) project. Arminder has also worked for a private organisaton where she was involved in the development of an economic Markov STI model (gonorrhoea, chlamydia and coinfection) and has spent several weeks in China where she collected and analysed samples from the field for Paragonimus westermani using various laboratory techniques at Imperial College London. Prior to her career in public health and epidemiology, Arminder worked in the private sector (pharma and stem cell research) as a UK/EU manager.


Department of Infectious Disease Epidemiology
Faculty of Epidemiology and Population Health


Centre for the Mathematical Modelling of Infectious Diseases (CMMID)
TB Centre
Vaccine Centre


I teach on the MSc module "Basic Epidemiology" and provide facilitation for ODK training at the school. 


Arminder is currently an Assistant Professor at the Centre for the Mathematical Modelling of Infectious Diseases (CMMID) at the London School of Hygiene and Tropical Medicine with the Tuberculosis Modelling Group led by Professor Richard White.  Her work involves understanding the impact of different TB vaccine characteristics on infection in Low and Middle-Income Countries (LMICs), where the outputs will be used to inform national and global level policy. 

Prior to this, Arminder had worked as an operational researcher for four years on a Children's Investment Fund Foundation (CIFF) funded project, with a focus on developing tools and providing evidence to help reach the WHO aims of the control and elimination of STH infection and schistosomiasis.  She worked together with the WHO and modelling groups as well as the Ministries of Health of endemic countries to develop tools and strategies for control programmes and provide evidence through a three year data collection exercise in Uganda involving over 7000 individuals across all age groups, as well as through analyses of extensive historical multi-country datasets. The evidence gathered will help assist the WHO in the refinement of the guidelines on the way forward to reach the ambitious WHO targets of controlling and eliminating these debilitating diseases.  

Research Area
Child health
Complex interventions
Economic evaluation
Infectious disease policy
Public health
Statistical methods
Disease control
Global Health
Impact evaluation
Implementation research
Genetic epidemiology
Mathematical modelling
Operational research
Disease and Health Conditions
Diarrhoeal diseases
Infectious disease
Neglected Tropical Diseases (NTDs)
Zoonotic disease
Soil-transmitted helminths
East Asia & Pacific (developing only)
Europe & Central Asia (all income levels)
Middle East & North Africa (developing only)
Sub-Saharan Africa (developing only)
Sub-Saharan Africa (all income levels)

Selected Publications

Schistosomiasis - Assessing Progress toward the 2020 and 2025 Global Goals.
Deol AK; Fleming FM; Calvo-Urbano B; Walker M; Bucumi V; Gnandou I; Tukahebwa EM; Jemu S; Mwingira UJ; Alkohlani A
New England Journal of Medicine
Urogenital schistosomiasis in Cabo Delgado, northern Mozambique: baseline findings from the SCORE study.
Phillips AE; Gazzinelli-Guimarães PH; Aurelio HO; Dhanani N; Ferro J; Nala R; Deol A; Fenwick A
Parasites & Vectors
Evaluating the variation in the projected benefit of community-wide mass treatment for schistosomiasis: Implications for future economic evaluations.
Turner HC; Truscott JE; Bettis AA; Farrell SH; Deol AK; Whitton JM; Fleming FM; Anderson RM
Markov Model Predicts Changes in STH Prevalence during Control Activities Even with a Reduced Amount of Baseline Information.
Montresor A; Deol A; À Porta N; Lethanh N; Jankovic D
PLOS Neglected Tropical Diseases
Population genetic structure of Schistosoma mansoni and Schistosoma haematobium from across six sub-Saharan African countries: implications for epidemiology, evolution and control.
Gower CM; Gouvras AN; Lamberton PHL; Deol A; Shrivastava J; Mutombo PN; Mbuh JV; Norton AJ; Webster BL; Stothard JR
See more Publications