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We endeavor to harness big data and machine learning for disease dynamics and management in human-animal ecosystems; advancing sustainable livelihoods and population health through data-driven policies.
Epidemiology:
Epidemiology:
Focus on disease surveillance and response strategies.
Use of statistical tools to track and analyze disease outbreaks.
One Health:
One Health:
Integration of human, animal, and environmental health.
Collaborative approaches to tackle zoonotic diseases.
Disease Modeling:
Disease Modeling:
Development and application of mathematical and computational models to predict disease outbreaks.
Scenario simulations to guide effective interventions.
Social Network Analysis:
Social Network Analysis:
Study of how disease spreads within and between populations through social networks.
Identification of key influencers and transmission pathways.
Machine Learning:
Machine Learning:
Application of AI techniques to predict disease patterns and outcomes.
Enhancement of diagnostic and predictive accuracy through data analysis.
Phylogeography & phylodynamics:
Phylogeography & phylodynamics:
Analysis of the geographical distribution of genetic lineages.
Insights into the migration paths and spread mechanisms of diseases.
Policy Development:
Policy Development:
Use of research findings to shape health policies and practices.
Engagement with policymakers to implement evidence-based strategies.
Relevance to UN Sustainable Development Goals
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