Area of research
Modeling and Simulation · Ecology, Evolution, Behavior and Systematics
Research interest
Research interests include COVID-19 epidemiological studies, Plant and animal studies, Evolutionary Game Theory and Cooperation, and Complex Network Analysis Techniques.
Extreme events, energy security and equality through micro- and macro-levels: Concepts, challenges and methods
How public reaction to disease information across scales and the impacts of vector control methods influence disease prevalence and control efficacy
The dynamics of evolutionary rescue from a novel pathogen threat in a host metapopulation
How public reaction to disease information across scales and the impacts of vector control methods influence disease prevalence and control efficacy
Climate, environmental and socio-economic change: weighing up the balance in vector-borne disease transmission
A Novel Tool for Making Policy Recommendations Based on PVA: Helping Theory Become Practice
Collaborative Research: The causes and consequences of Higher Order Interactions (HOI)
PIPP Phase II: Analysis and Prediction of Pandemic Expansion (APPEX)
PIPP Phase II: Analysis and Prediction of Pandemic Expansion (APPEX)
Collaborative Research: The causes and consequences of Higher Order Interactions (HOI)
PIPP Phase I: Predicting Emergence in Multidisciplinary Pandemic Tipping-points (PREEMPT)
Collaborative Research: A Workshop on Pre-emergence and the Predictions of Rare Events in Multiscale, Complex, Dynamical Systems
RAPID: Modeling the Coupled Social and Epidemiological Networks that Determine the Success of Behavioral Interventions on Limiting Spread of COVID-19
RAPID: Modeling Zika Control Effectiveness with Feedback in Risk Perception and Associated Demand across Scales of Intervention
EAGER: Collaborative: Algorithmic Framework for Anomaly Detection in Interdependent Networks
RAPID: Collaborative Research: Learning about Infectious Diseases through Online Participation in a Virtual Epidemic