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Dr Oliver Brady

Associate Professor

United Kingdom

My research aims to use statistical models to better understand the geographic spread of mosquito-transmitted viruses and optimise strategies for their control and spans three main areas:
1. Mapping the global distribution of dengue, chikungunya and Zika and estimating their true burden to track progress towards global targets
2. Understanding and predicting the geographic spread of dengue and Zika to design new strategies to contain the spread of pandemics
3. Developing and optimising the use of novel interventions for dengue control including real time outbreak forecasting and accelerating the adoption of novel mosquito control tools like Wolbachia.

To achieve these aims, I develop and apply advanced statistical and mechanistic models in Bayesian frameworks to high resolution climate, demographic and socioeconomic data. Key to my work is close collaboration with ministries of health and a partnership with WHO to develop strategies and guidelines that ultimately aim to contain these expanding arboviral diseases.

At LSHTM I lead the Dengue Mapping and Modelling Group, which is currently comprised of a team of 8 PhD students, post-docs and early career faculty members. Our work is supported by a range of research funders including the MRC, the Wellcome Trust, the Bill and Melinda Gates Foundation, the World Health Organization and the AXA Research Foundation. Currently i am acting co-head of department for the Infectious Disease Epidemiology and Dynamics

Affiliations

Department of Infectious Disease Epidemiology and Dynamics
Faculty of Epidemiology and Population Health

Centres

Centre for Mathematical Modelling of Infectious Diseases

Teaching

I teach on MSc modules including modelling, study design, machine learning, spatial epidemiology, epidemiology of infectious diseases and integrated vector management. I also teach and organise the Introduction to Spatial Analysis in R short course.

Research

Research Area
Modelling
Vector control
GIS/Spatial analysis
Epidemiology
Disease and Health Conditions
Dengue
Zika
Yellow fever

Selected Publications

The overlapping global distribution of dengue, chikungunya, Zika and yellow fever
Brady, O; LIM, A; Shearer, F; Sewalk, K; Pigott, D; Clarke, J; Ghouse, A; Judge, C; Kang, H; Messina, J; Kraemer, M; Gaythorpe, K; De Souza, W; Nsoesie, E; Celone, M; Faria, N; Ryan, S; Rabe, I; Rojas, D; Hay, S; Brownstein, J; Golding, N;
2024
Research Square
Why the growth of arboviral diseases necessitates a new generation of global risk maps and future projections
BRADY, OJ; Bastos, LS; Caldwell, JM; Cauchemez, S; Clapham, HE; Dorigatti, I; Gaythorpe, KA M; Hu, W; Hussain-Alkhateeb, L; Johansson, MA; LIM, A; Lopez, VK; Maude, RJ; Messina, JP; Mordecai, EA; Peterson, AT; Rodriquez-Barraquer, I; Rabe, IB; Rojas, DP; Ryan, SJ; Salje, H; Semenza, JC; Tran, QM;
2025
PLoS computational biology
Urban Aedes aegypti suitability indicators: a study in Rio de Janeiro, Brazil
Knoblauch, S; Mukaratirwa, RT; Pimenta, PF P; De A Rocha, AA; Yin, MS; Randhawa, S; Lautenbach, S; Wilder-Smith, A; Rocklöv, J; BRADY, OJ; Biljecki, F; Dambach, P; Jänisch, T; Resch, B; Haddawy, P; Bärnighausen, T; Zipf, A;
2025
The Lancet Planetary Health
Modeling Intraday Aedes-human exposure dynamics enhances dengue risk prediction.
Knoblauch, S; Heidecke, J; De A Rocha, AA; Paolucci Pimenta, PF; Reinmuth, M; Lautenbach, S; BRADY, OJ; Jänisch, T; Resch, B; Biljecki, F; Rocklöv, J; Wilder-Smith, A; Bärnighausen, T; Zipf, A;
2025
Scientific reports
Dynamics of SARS-CoV-2 infection over two epidemic waves in Manaus, Brazil: A serological study of seven thousand blood donors.
ALEXANDER, N; Dye, C; Busch, MP; Buss, L; Prete, CA; BRADY, OJ; Mee, P; Abrahim, CM M; Crispim, MA E; Da Costa, AG; Salomon, T; MAYAUD, P; Oikawa, MK; Faria, NR; Sabino, EC;
2025
PloS one
Inferring the regional distribution of Visceral Leishmaniasis incidence from data at different spatial scales.
NIGHTINGALE, ES; Subramanian, S; Schwarzer, AR; Chapman, LA C; Jambulingam, P; CAMERON, MM; BRADY, OJ; MEDLEY, GF; Lucas, TC D;
2024
Communications medicine
EpiFusion: Joint inference of the effective reproduction number by integrating phylodynamic and epidemiological modelling with particle filtering.
JUDGE, C; Vaughan, T; Russell, T; ABBOTT, S; Du Plessis, L; Stadler, T; BRADY, O; Hill, S;
2024
PLoS computational biology
Could prophylactic antivirals reduce dengue incidence in a high-prevalence endemic area?
Jafari, Y; BRADY, OJ; BIGGS, JR; Lien, LT; Mai, HK; Nguyen, HA T; Van Loock, M; Herrera-Taracena, G; Menten, J; Iwasaki, C; Takegata, M; Kitamura, N; Do Thai, H; Minh, BX; Morita, K; Anh, DD; Clifford, S; PREM, K; Hafalla, J; EDMUNDS, WJ; Yoshida, LM; HIBBERD, ML; Hué, S;
2024
PLoS neglected tropical diseases
Human movement and environmental barriers shape the emergence of dengue.
Harish, V; Colón-González, FJ; Moreira, FR R; Gibb, R; Kraemer, MU G; Davis, M; Reiner, RC; Pigott, DM; Perkins, TA; Weiss, DJ; Bogoch, II; Vazquez-Prokopec, G; Saide, PM; Barbosa, GL; Sabino, EC; Khan, K; Faria, NR; Hay, SI; Correa-Morales, F; Chiaravalloti-Neto, F; BRADY, OJ;
2024
Nature communications
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