Conall Watson MPharm DipGPP MSc MRPharmS MFPH

Research Degree Student


I’m a public health specialty registrar, doing an MRC-funded doctorate on the epidemiology and modelling of typhoid as a basis for vaccine programme decisions. I have been working with the World Health Organization on vaccination against Ebola, including epidemiological needs assessment and a novel ring vaccination trial.

Before joining the School, I coordinated the preparations of the UK Health Protection Agency national infectious disease surveillance centre for the London 2012 Olympic and Paralympic Games, and worked at the Department of Health immunisation policy branch.

After qualifying as a pharmacist from the University of Nottingham and Bart’s & London hospital trust, I did my clinical residency at Guy’s & St Thomas’ Hospitals, providing 24/7 pharmaceutical care for acutely-ill patients and developing prescribing guidelines for the hospitals and across the local area.  I then moved into NHS public health specialty training, working in health service commissioning, local government health improvement programmes and communicable disease control.




I have taught various aspects of public health, including infectious disease epidemiology, vaccine implementation and disease screening, at LSHTM, UCL, KCL Brighton & Sussex Medical School and Cambridge. I am also involved in training of public health registrars, including for membership exams of the Faculty of Public Health.


My doctoral research aims to inform the design of vaccination programmes and other interventions for the control of typhoid fever, particularly in the Pacific region, such as through school-based immunisation or child and adult vaccination campaigns.

In 2013, I did six months of fieldwork in Fiji in collaboration with the Ministry of Health, WHO Western Pacific, University of Queensland (UQ), other health partners and many volunteers who generously gave their time and blood samples. This cross-sectional, population-representative survey aims to determine exposure to Salmonella Typhi infection through the study of immune system antibodies. This, alongside data on social mixing, is intended to inform transmission dynamic modelling for vaccine decisions.

The serum survey has also been used for investigation of leptospirosis, led by Colleen Lau of ANU, and is banked for use in investigation of dengue fever (collected shortly before a large-scale outbreak of dengue-3) and other arbovirus research with Adam Kuscharski (LSHTM) and Pacific partners.

I also have developed a strong research interest in Ebola, in responsing to the tragic events in West Africa. I am currently collaborating on a vaccine clinical trial, Ebola epidemiological research and transmission dynamic modelling.

Research areas

  • Bacteria
  • Clinical trials
  • Disease control
  • Drug discovery and development
  • Economic evaluation
  • Environmental Health
  • Global Health
  • Health impact analysis
  • Health inequalities
  • Health policy
  • Health services
  • Health systems
  • Hygiene
  • Immunisation
  • Infectious disease policy
  • Mixed methods
  • Modelling
  • Outbreaks
  • Public health
  • Public understanding
  • Randomised controlled trials
  • Sanitation
  • Surveillance
  • Vaccines
  • Viruses


  • Epidemiology
  • Immunoepidemiology
  • Pharmacoepidemiology
  • Policy analysis
  • Vaccinology

Disease and Health Conditions

  • Dengue
  • Diarrhoeal diseases
  • Emerging Infectious Disease
  • Infectious disease
  • Neglected Tropical Diseases (NTDs)
  • Pandemic diseases
  • Tropical diseases
  • Vector borne disease
  • Zoonotic disease


  • East Asia & Pacific (all income levels)
  • East Asia & Pacific (developing only)
  • Least developed countries: UN classification
  • Pacific island small states
  • South Asia
  • Sub-Saharan Africa (all income levels)
  • Sub-Saharan Africa (developing only)


  • Ethiopia
  • Fiji
  • Guinea
  • Liberia
  • Sierra Leone
  • United Kingdom

Other interests

  • Access To Medicines
  • Adaptive designs
  • Antibody Response
  • Centre for the Mathematical Modelling of Infectious Diseases
  • Commonwealth
  • Ebola
  • Typhoid
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