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Cambridge Infectious Diseases

An Interdisciplinary Research Centre at the University of Cambridge

Studying at Cambridge

 

Chris Illingworth

Keywords

  • Virology
  • Evolution
  • Pathogen Evolution
  • Bioinformatics

Equipment

  • Mathematical modelling
  • Computational modelling

Key Publications

Kemp, S. A., Collier, D. A., Datir, R. P., Ferreira, I. A. T. M., Gayed, S., Jahun, A., et al. (2021). SARS-CoV-2 evolution during treatment of chronic infection. Nature, 1–26. http://doi.org/10.1038/s41586-021-03291-y

Lumby, C. K., Zhao, L., Breuer, J., & Illingworth, C. J. (2020). A large effective population size for established within-host influenza virus infection. eLife, 9, 217–17. http://doi.org/10.7554/eLife.56915

Illingworth, C. J., Raghwani, J., Serwadda, D., Sewankambo, N. K., Robb, M. L., Eller, M. A., et al. (2020). A de novo approach to inferring within-host fitness effects during untreated HIV-1 infection. PLoS Pathogens, 16(6), e1008171–26. http://doi.org/10.1371/journal.ppat.1008171

Lumby, C. K., Nené, N. R., & Illingworth, C. J. (2018). A novel framework for inferring parameters of transmission from viral sequence data. PLoS Genetics, 14(10), e1007718. http://doi.org/10.1371/journal.pgen.1007718

Sobel Leonard, A., McClain, M. T., Smith, G. J. D., Wentworth, D. E., Halpin, R. A., Lin, X., et al. (2017). The effective rate of influenza reassortment is limited during human infection. PLoS Pathogens, 13(2), e1006203–26. http://doi.org/10.1371/journal.ppat.1006203