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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.

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

A global dataset of publicly available dengue case count data.
Clarke, J; LIM, A; Gupte, P; Pigott, DM; Van Panhuis, WG; BRADY, OJ;
2024
Scientific Data
Chikungunya seroprevalence, force of infection, and prevalence of chronic disability after infection in endemic and epidemic settings: a systematic review, meta-analysis, and modelling study.
KANG, H; AUZENBERGS, M; Clapham, H; Maure, C; Kim, J-H; Salje, H; Taylor, CG; LIM, A; Clark, A; EDMUNDS, WJ; Sahastrabuddhe, S; BRADY, OJ; ABBAS, K;
2024
The Lancet Infectious Diseases
Interactions between climate change, urban infrastructure and mobility are driving dengue emergence in Vietnam.
Gibb, R; Colón-González, FJ; Lan, PT; Huong, PT; Nam, VS; Duoc, VT; Hung, DT; Dong, NT; Chien, VC; Trang, LT T; Kien Quoc, D; Hoa, TM; Tai, NH; Hang, TT; Tsarouchi, G; Ainscoe, E; Harpham, Q; Hofmann, B; Lumbroso, D; BRADY, OJ; LOWE, R;
2023
Nature communications
Comparing the Performance of Three Models Incorporating Weather Data to Forecast Dengue Epidemics in Reunion Island, 2018-2019.
Andronico, A; Menudier, L; Salje, H; Vincent, M; Paireau, J; De Valk, H; Gallian, P; Pastorino, B; BRADY, O; De Lamballerie, X; Lazarus, C; Paty, M-C; Vilain, P; Noel, H; Cauchemez, S;
2023
The Journal of infectious diseases
A systematic review of the data, methods and environmental covariates used to map Aedes-borne arbovirus transmission risk.
LIM, A-Y; Jafari, Y; Caldwell, JM; Clapham, HE; Gaythorpe, KA M; Hussain-Alkhateeb, L; Johansson, MA; Kraemer, MU G; Maude, RJ; McCormack, CP; Messina, JP; Mordecai, EA; Rabe, IB; Reiner, RC; Ryan, SJ; Salje, H; Semenza, JC; Rojas, DP; BRADY, OJ;
2023
BMC infectious diseases
Epidemiological and genomic investigation of chikungunya virus in Rio de Janeiro state, Brazil, between 2015 and 2018.
Moreira, FR R; Menezes, MT D; Salgado-Benvindo, C; Whittaker, C; Cox, V; Chandradeva, N; Paula, HH S D; Martins, AF; Chagas, RR D; Brasil, RD V; Cândido, DD S; Herlinger, AL; Ribeiro, MD O; Arruda, MB; Alvarez, P; Tôrres, MC D P; Dorigatti, I; BRADY, O; Voloch, CM; Tanuri, A; Iani, F; Souza, WM D; Cardozo, SV; Faria, NR; Aguiar, RS;
2023
PLoS neglected tropical diseases
Projecting the future incidence and burden of dengue in Southeast Asia.
Colón-González, FJ; Gibb, R; Khan, K; Watts, A; LOWE, R; BRADY, OJ;
2023
Nature communications
Spatio-Temporal Patterns and Surveillance of Infectious Disease During Emergence and Elimination
NIGHTINGALE, ES;
2023
London School of Hygiene & Tropical Medicine
Spatial dynamics of malaria transmission.
Wu, SL; Henry, JM; Citron, DT; Mbabazi Ssebuliba, D; Nakakawa Nsumba, J; Sánchez C, HM; BRADY, OJ; Guerra, CA; García, GA; Carter, AR; Ferguson, HM; Afolabi, BE; Hay, SI; Reiner, RC; Kiware, S; Smith, DL;
2023
PLoS computational biology
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