Area of research
Modeling and Simulation · Epidemiology
Research interest
Research interests include COVID-19 epidemiological studies, Influenza Virus Research Studies, Fire effects on ecosystems, and Data-Driven Disease Surveillance.
Deep neural networks for endemic measles dynamics: Comparative analysis and integration with mechanistic models
Neural networks for endemic measles dynamics: comparative analysis and integration with mechanistic models
Multiple Incursions and Recurrent Epidemic Fade-Out of H3N2 Canine Influenza A Virus in the United States
Spatial and temporal dynamics of superspreading events in the 2014–2015 West Africa Ebola epidemic
Spread of Canine Influenza A(H3N2) Virus, United States
A mechanistic spatio-temporal framework for modelling individual-to-individual transmission—With an application to the 2014-2015 West Africa Ebola outbreak
Contact Heterogeneity, Rather Than Transmission Efficiency, Limits the Emergence and Spread of Canine Influenza Virus
Human mobility patterns predict divergent epidemic dynamics among cities