Professor Daniela De Angelis
(she/her)About Professor Daniela De Angelis
I am a Professor of Statistical Science for Health at the University of Cambridge in the Department of Primary Care and Public Health, and Group Leader at the MRC Biostatistics Unit, where I lead the Population Health research theme.
I have over 25 years of experience of working at the interface between statistics and infectious disease epidemiology. Marrying epidemiology and cutting-edge statistical/computational techniques, I have established and led multi-disciplinary teams developing novel methodology and tools to enable epidemic monitoring and prediction. An important focus of my research has been on the statistical questions posed by the combination of heterogeneous data, which are generally of different types, relevance, and quality, affected by observational biases, and present “big data” and privacy challenges. My methodologies have been adopted as methods of choice by national and international Health Agencies to monitor epidemics, informing the implementation and evaluation of public health policies.
I am a member of several scientific advisory groups including the Statistical Expert Group for the Infected Blood Inquiry; the Scientific Pandemic Influenza Advisory Committee (SPI-M); the Royal Statistical Society Task Force for Covid-19. In 2022, for my work during the SARS-CoV2 pandemic, I was awarded the Weldon Memorial Prize as core member of SPI-M; received the University of Cambridge Vice-Chancellor’s Award for Impact and Engagement in the Established Academic category; and became Member of the Most Excellent Order of the British Empire (MBE), Honorary Awards to Foreign Nationals in recognition of her services to Medical Research and Public Health.
Publications
Showing 71 to 80 of 200 publications
Monitoring the hepatitis C epidemic in England and evaluating intervention scale-up using routinely collected data.
Authors: RJ Harris, HE Harris, S Mandal, M Ramsay, P Vickerman, M Hickman, D De Angelis
Journal: J Viral Hepat
DOI: 10.1111/jvh.13063
Elimination prospects of the Dutch HIV epidemic among men who have sex with men in the era of preexposure prophylaxis.
Authors: G Rozhnova, J Heijne, D Bezemer, A van Sighem, A Presanis, D De Angelis, M Kretzschmar
Published:
Journal: AIDS
DOI: 10.1097/QAD.0000000000002050
Exploiting routinely collected severe case data to monitor and predict influenza outbreaks.
Authors: A Corbella, X-S Zhang, PJ Birrell, N Boddington, RG Pebody, AM Presanis, D De Angelis
Published:
Journal: BMC Public Health
DOI: 10.1186/s12889-018-5671-7
Towards elimination of HIV transmission, AIDS and HIV-related deaths in the UK.
Authors: AE Brown, S Nash, N Connor, PD Kirwan, D Ogaz, S Croxford, DD Angelis, VC Delpech
Published:
Journal: HIV Med
DOI: 10.1111/hiv.12617
Evidence synthesis for stochastic epidemic models
Authors: PJ Birrell, D de Angelis, AM Presanis
Published:
Journal: Statistical Science
DOI: 10.1214/17-STS631
HIV incidence among sexual health clinic attendees in England: First estimates for black African heterosexuals using a biomarker, 2009-2013.
Authors: A Aghaizu, J Tosswill, D De Angelis, H Ward, G Hughes, G Murphy, V Delpech
Journal: PLoS One
DOI: 10.1371/journal.pone.0197939
Real-time modelling of a pandemic influenza outbreak.
Authors: PJ Birrell, RG Pebody, A Charlett, X-S Zhang, D De Angelis
Journal: Health Technol Assess
DOI: 10.3310/hta21580
Estimating and modelling the transmissibility of Middle East Respiratory Syndrome CoronaVirus during the 2015 outbreak in the Republic of Korea.
Authors: X-S Zhang, R Pebody, A Charlett, D de Angelis, P Birrell, H Kang, M Baguelin, YH Choi
Journal: Influenza Other Respir Viruses
DOI: 10.1111/irv.12467
Monitoring of the HIV Epidemic Using Routinely Collected Data: The Case of the United Kingdom.
Authors: BD Rice, Z Yin, AE Brown, S Croxford, S Conti, D De Angelis, VC Delpech
Journal: AIDS Behav
DOI: 10.1007/s10461-016-1604-6
Cover Image
Authors: RJ Harris, NK Martin, E Rand, S Mandal, D Mutimer, P Vickerman, ME Ramsay, D De Angelis, M Hickman, HE Harris
Journal: Journal of Viral Hepatitis
DOI: 10.1111/jvh.12577