Dr Daniel Laydon

Faculty of Medicine, School of Public Health

Research Associate

Contact

Location

Wright Fleming WingSt Mary's Campus

Summary

I am a postdoctoral researcher at the MRC Centre for Global Infectious Disease Analysis, based at the Department of Infectious Disease Epidemiology.

My research is focussed on the transmission, prevention and alleviation of infectious disease. I use a combination of mathematical, statistical and computational models to study a variety of viruses, including dengue, Middle Eastern Respiratory Syndrome (MERS), and in recent years COVID-19. Since the pandemic, I have been especially interested in pandemic preparedness and emerging threats to human health.

I previously worked at the Department for Immunology, studying the within-host dynamics and viral persistence of Human T-Lymphotropic Virus type-1 (HTLV-1), where I also worked on novel approaches to estimate immunological and microbiological diversity.

My background is in pure mathematics and computational biology. I am interested in spatiotemporal modelling, individual-based modelling and more generally stochastic modelling, as well as Bayesian statistics and the analysis of clinical trial data. Where possible, I like my work to have practical implications for policy, for example in the deployment of vaccines or other interventions for infection control.

Selected Publications

Journal Articles

Laydon DJ, Cauchemez S, Hinsley WR, et al.Laydon DJ, Cauchemez S, Hinsley WR, Bhatt S, Ferguson NM close, 2022, Prophylactic and reactive vaccination strategies for healthcare workers against MERS-CoV

Knock ES, Whittles LK, Lees JA, et al.Knock ES, Whittles LK, Lees JA, Perez-Guzman PN, Verity R, FitzJohn RG, Gaythorpe KAM, Imai N, Hinsley W, Okell LC, Rosello A, Kantas N, Walters CE, Bhatia S, Watson OJ, Whittaker C, Cattarino L, Boonyasiri A, Djaafara BA, Fraser K, Fu H, Wang H, Xi X, Donnelly CA, Jauneikaite E, Laydon DJ, White PJ, Ghani AC, Ferguson NM, Cori A, Baguelin M close, 2021, Key epidemiological drivers and impact of interventions in the 2020 SARS-CoV-2 epidemic in England, Science Translational Medicine, Vol:13, ISSN:1946-6234, Pages:1-12

Laydon D, Dorigatti I, Small R, et al.Laydon D, Dorigatti I, Small R, Jackson N, Coudeville L, Ferguson N close, 2021, Efficacy profile of the CYD-TDV dengue vaccine revealed by Bayesian survival analysis of individual-level Phase III data, Elife, Vol:10, ISSN:2050-084X

Volz E, Mishra S, Chand M, et al.Volz E, Mishra S, Chand M, Barrett JC, Johnson R, Geidelberg L, Hinsley WR, Laydon DJ, Dabrera G, O'Toole Á, Amato R, Ragonnet-Cronin M, Harrison I, Jackson B, Ariani CV, Boyd O, Loman NJ, McCrone JT, Gonçalves S, Jorgensen D, Myers R, Hill V, Jackson DK, Gaythorpe K, Groves N, Sillitoe J, Kwiatkowski DP, COVID-19 Genomics UK (COG-UK) consortium, Flaxman S, Ratmann O, Bhatt S, Hopkins S, Gandy A, Rambaut A, Ferguson NM close, 2021, Assessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England, Nature, Vol:593, ISSN:0028-0836, Pages:266-269

Laydon D, Mishra S, Hinsley W, et al.Laydon D, Mishra S, Hinsley W, Samartsidis P, Flaxman S, Gandy A, Ferguson N, Bhatt S close, 2021, Modelling the impact of the Tier system on SARS-CoV-2 transmission in the UK between the first and second national lockdowns, Bmj Open, Vol:11, ISSN:2044-6055

Laydon DJ, Sunkara V, Boelen L, et al.Laydon DJ, Sunkara V, Boelen L, Bangham CRM, Asquith B close, 2020, The relative contributions of infectious and mitotic spread to HTLV-1 persistence, PLOS Computational Biology, Vol:16, ISSN:1553-734X

Reports

Ferguson N, Laydon D, Nedjati Gilani G, et al.Ferguson N, Laydon D, Nedjati Gilani G, Imai N, Ainslie K, Baguelin M, Bhatia S, Boonyasiri A, Cucunuba Perez Z, Cuomo-Dannenburg G, Dighe A, Dorigatti I, Fu H, Gaythorpe K, Green W, Hamlet A, Hinsley W, Okell L, van Elsland S, Thompson H, Verity R, Volz E, Wang H, Wang Y, Walker P, Walters C, Winskill P, Whittaker C, Donnelly C, Riley S, Ghani A close, 2020, Report 9: Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand

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