My research focuses on using data-driven approaches and modeling techniques to predict the geographic distribution of mosquito-borne diseases. Currently my work revolves around two main areas:
1. Building, maintaining and updating a global dengue incidence database (opendengue.org)
2. Generating global risk maps for dengue, zika, chikungunya and yellow fever, by fitting a machine learning model to global disease occurrence data and leveraging similarities among them
As a member of the Dengue Mapping and Modelling Group at LSHTM, led by Dr Oliver Brady, I actively collaborate with modellers, epidemiologists and public health experts, including the WHO Global Arbovirus Initiative.
1. Building, maintaining and updating a global dengue incidence database (opendengue.org)
2. Generating global risk maps for dengue, zika, chikungunya and yellow fever, by fitting a machine learning model to global disease occurrence data and leveraging similarities among them
As a member of the Dengue Mapping and Modelling Group at LSHTM, led by Dr Oliver Brady, I actively collaborate with modellers, epidemiologists and public health experts, including the WHO Global Arbovirus Initiative.
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 Epidemiology of Infectious Diseases and Modelling and Dynamics of Infectious Diseases, as well as short courses on infectious disease modelling and spatial analysis in R (ISAIR).
Research
Research Area
Modelling
Epidemiology
GIS/Spatial analysis
Vector control
Disease and Health Conditions
Dengue
Zika
Yellow fever
Malaria
Selected Publications
Quantifying, Understanding, and Correcting for Delays in Routine Dengue Case Reporting in the Americas.
2026
The American journal of tropical medicine and hygiene
Rapid global growth and intensification of dengue since 1990
2026
Springer Science and Business Media LLC
