Area of research
Public Health, Environmental and Occupational Health · Modeling and Simulation
Research interest
Research interests include COVID-19 epidemiological studies, Mosquito-borne diseases and control, Viral Infections and Outbreaks Research, and Viral Infections and Vectors.
Early individualized risk prediction using clinical data for children during the febrile phase of dengue in outpatient settings in Vietnam and Thailand.
A systematic review and meta-analysis of Zika virus epidemiology.
Dengue epidemiology and transmission intensity across Panama during 2000–2024: a modelling study
Developing and Applying a Unified Weather and Climate Database to Assess Climate Change Impacts on Tropical Infectious Disease Transmission and Burden
Efficacy, public health impact and optimal use of the Takeda dengue vaccine.
Quantifying West Nile virus circulation in the avian host population in Northern Italy.
Meteorological and environmental drivers of West Nile virus prevalence in Culex pipiens mosquitoes in Emilia-Romagna, Italy in 2013 to 2022
Priorities for modelling arbovirus transmission under climate change.
A Multiplex Serological Assay for the Detection of Antibody Responses to Arboviruses.
Proceedings of the second annual dengue endgame summit: A call to action.
Spatiotemporal relationships between extreme weather events and arbovirus transmission across Brazil
A systematic review of Zika virus disease: epidemiological parameters, mathematical models, and outbreaks
Author response: Spatiotemporal relationships between extreme weather events and arbovirus transmission across Brazil
Spatiotemporal relationships between extreme weather events and arbovirus transmission across Brazil
Spatiotemporal relationships between extreme weather events and arbovirus transmission across Brazil
Differential responses of SARS-CoV-2 variants to environmental drivers during their selective sweeps.
Efficacy, public health impact and optimal use of the Takeda dengue vaccine
Predicting the infecting dengue serotype from antibody titre data using machine learning.
Predicting the infecting dengue serotype from antibody titre data using machine learning
Reconstructing the impact of COVID-19 on the immunity gap and transmission of respiratory syncytial virus in Lombardy, Italy.
Epidemiological and genomic investigation of chikungunya virus in Rio de Janeiro state, Brazil, between 2015 and 2018
Modelling the impact of JNJ-1802, a first-in-class dengue inhibitor blocking the NS3-NS4B interaction, on in-vitro DENV-2 dynamics.
A simulation-based method to inform serosurvey design for estimating the force of infection using existing blood samples
Modelling the viral dynamics of the SARS-CoV-2 Delta and Omicron variants in different cell types
A simulation-based method to inform serosurvey design for estimating the force of infection using existing blood samples.
Epidemiological and genomic investigation of chikungunya virus in Rio de Janeiro state, Brazil, between 2015 and 2018
Impact of antigen test target failure and testing strategies on the transmission of SARS-CoV-2 variants
Estimating the COVID-19 infection fatality ratio accounting for seroreversion using statistical modelling.
Neutralising reactivity against SARS-CoV-2 Delta and Omicron variants by vaccination and infection history
Impact of antigen test target failure and testing strategies on the transmission of SARS-CoV-2 variants.