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Cambridge Infectious Diseases

An Interdisciplinary Research Centre at the University of Cambridge

Studying at Cambridge


Dr. Lydia Drumright

Dr. Lydia  Drumright

Epidemiology, statistics, and clinical informatics to understand infectious disease dynamics.


Our research takes a multidisciplinary approach to addressing health problems, with emphasis on utilising modern technologies to advance our understanding of and address health concerns.

This involves incorporating health informatics, bench science, mathematics, statistics, and social sciences into classical and molecular epidemiology to develop a better understanding disease transmission dynamics from network-, transmission event-, individual- and environmental-level analyses and utilising these findings to develop more innovative and effective health solutions.

Work within my group tends to be directly translational to support policy and public health intervention that will result in reduction of infectious disease burden within communities and specialised settings, such as healthcare facilities. As such, our work is conducted together with Public Health England and the Cambridge University Hospitals Foundation Trust and other NHS trusts.

We have applied these methods to the study of HIV, sexually transmitted infections, hepatitis C, tuberculosis, hepatitis A, influenza, norovirus and other healthcare associated infections (HCAIs).

Departments and Institutes


Research Interests


  • Dr. Afzal Chaudhry, CUHFT
  • Prof. Ian Goodfellow, Cambridge
  • Prof. Alison Holmes, Imperial
  • Dr. Hongyi Zhang, PHE


  • Genomics
  • Genetics
  • Viral pathogenicity
  • Host-Pathogen Interaction
  • Public Health
  • Pathogen Evolution
  • Pathogenesis
  • Immune Evasion
  • Persistence
  • Pharmacology
  • Epidemic control
  • Infection
  • Epidemiology
  • Virulence
  • Bioinformatics
  • Evolution
  • Virology
  • Cross-species transmission
  • Bacteriology
  • Vaccine development
  • Molecular epidemiology
  • Dynamics


  • Influenza (Flu)
  • HIV
  • RNA virus
  • Emerging viral diseases
  • Hepatitis C
  • AIDS


  • Mathematical modelling