The research of the Bansal Lab is based in disease ecology (also known as ecological epidemiology). This includes population and community level studies of the interactions between hosts and their pathogens, and covers diseases of both humans and animals. In particular, we focus on spatial and temporal heterogeneity in transmission, due to variation in host-dependent parameters (e.g. contact patterns, age, or compliance with public health recommendations). We use and develop a variety of mathematical and statistical modeling tools to answer our questions, in particular tools of network science. Here are some of the topics we have worked on:
Human Infections: towards a mechanistic understanding & control
- Detecting population-scale influenza severity
- Impact of influenza revaccination
- Can influenza antivirals replace vaccination?
- Epidemiological and evolutionary consequences of past influenza outbreaks
- Shifting demographic landscape for pandemic influenza
- Comparative analysis of influenza vaccination
Livestock and Wildlife Infections: contact dynamics and containment
- What are the disease consequences of modular structure in animal social networks?
- What are the network dynamics of synchronous breathing in dolphins for the spread of respiratory infections?
- Does burrow use predict tortoise contact dynamics?
- What role do auction markets play in the propagation of livestock infections?
- Is swine movement driving the current PEDV outbreak?
Network Epidemiology: models & algorithms
- Generative model for graphs with contact heterogeneity and modularity
- Inferring contact heterogeneity from simple epidemiological data
- Modeling dynamic contacts in epidemiology
- Generative null model for graphs with contact heterogeneity and transitivity
- How does invdividual contact heterogeneity matter in epidemiology
- Quantifying the impact of network frailty and herd immunity